Davino C, Palumbo F, Wilhelm AFX, Kestler HA (eds.). Recent Trends and Future Challenges in Learning from Data. Springer, 2024
Wilhelm AFX, Kestler HA, (eds). Analysis of Large and Complex Data. Springer, 2016.
Schöning U, Kestler HA. Mathe–Toolbox – Mathematische Notationen, Grundbegriffe und Beweismethoden. Lehmanns Media, 1st ed 2010, 2nd ed 2012, 3rd ed 2015.
Maucher M. On the influence of non-perfect randomness on probabilistic algorithms. Südwestdeutscher Verlag für Hochschulschriften, Saarbrücken, 2009.
Lausser, L, Szekely R, Kestler HA. Permutation-invariant linear classifiers. Mach Learn, online first, 2024. https://doi.org/10.1007/s10994-024-06561-8
Seufferlein T, Lausser L, Stein A, Arnold D, Prager G, Kasper-Virchow S, Niedermeier M, Müller L, Kubicka S, König A, Büchner-Steudel P, Wille K, Berger AW, Kestler AMR, Kraus JM, Werle SD, Perkhofer L, Ettrich TJ, Kestler HA. Prediction of resistance to bevacizumab plus FOLFOX in metastatic colorectal cancer-Results of the prospective multicenter PERMAD trial. PLoS One 19(6): e0304324, 2024. https://doi.org/10.1371/journal.pone.0304324
Benovic S, Ajlani AH, Leinert C, Fotteler M, Wolf D, Steger F, Kestler H, Dallmeier D, Denkinger M, Eschweiler G, Thomas C, Kocar TD. Introducing a machine learning algorithm for delirium prediction—the Supporting SURgery with GEriatric Co-Management and AI project (SURGE-Ahead). Age and Ageing 53(3): afae101, 2024. https://doi.org/10.1093/ageing/afae101
Thiam P, Kloth C, Blaich D, Liebold A, Beer M, Kestler HA. Segmentation-based cardiomegaly detection based on semi-supervised estimation of cardiothoracic ratio. Sci Rep 14: 5695, 2024. https://doi.org/10.1038/s41598-024-56079-1
Weidner FM, Ikonomi N, Werle SD, Schwab JD, Kestler HA. GatekeepR: an R shiny application for the identification of nodes with high dynamic impact in boolean networks. Bioinformatics 40(1): btae007, 2024. https://doi.org/10.1093/bioinformatics/btae007
Enzenmüller S, Niedermayer A, Seyfried F, Münch V, Tews D, Rupp U, Tausch E, Groß A, Fischer-Posovszky P, Walther P, Stilgenbauer S, Kestler HA, Debatin KM, Meyer LH. Venetoclax resistance in acute lymphoblastic leukemia is characterized by increased mitochondrial activity and can be overcome by co-targeting oxidative phosphorylation. Cell Death Dis 15: 475, 2024. https://doi.org/10.1038/s41419-024-06864-7
Bayas A, Mansmann U, Ön BI, Hoffmann VS Berthele A, Mühlau M, Kowarik MC, Krumbholz M, Senel M, Steuerwald V, Naumann M, Hartberger J, Kerschensteiner M, Oswald E, Ruschil C, Ziemann U, Tumani H, Vardakas I, Albashiti F, Kramer F, Soto-Rey I, Spengler H, Mayer G, Kestler HA, Kohlbacher O, Hagedorn M, Boeker M, Kuhn K Buchka S, Kohlmayer F, Kirschke JS, Behrens L, Zimmermann H, Bender B, Sollmann N, Havla J, Hemmer B, ProVal-MS study group. Prospective study validating a multidimensional treatment decision score predicting the 24-month outcome in untreated patients with clinically isolated syndrome and early relapsing–remitting multiple sclerosis, the ProVal-MS study. Neurol Res Pract 6(1): 15, 2024. https://doi.org/10.1186/s42466-024-00310-x
Groner R, Bellmann P, Höppner S, Thiam T, Schwenker F, Kestler HA, Tichy M. Enhanced performance prediction of ATL model transformations. Perform Eval 164: 102413, 2024. https://doi.org/10.1016/j.peva.2024.102413
Abou Kors T, Hofmann L, Betzler A, Payer K, Bens M, Truong J, von Witzleben A, Thomas J, Kraus JM, Kalaajieh R, Huber D, Ezic J, Benckendorff J, Greve J, Schuler PJ, Ottensmeier CH, Kestler HA, Hoffmann TK Theodoraki MN, Brunner C, Laban S. INHBA is enriched in HPV-negative oropharyngeal squamous cell carcinoma and promotes cancer progression. Cancer Research Communications 4(2): 571-587, 2024. https://doi.org/10.1158/2767-9764.CRC-23-0258
2023
Schwab JD, Werle SK, Hühne R, Spohn H, Kaisers UX, Kestler HA. The Necessity of Interoperability to Uncover the Full Potential of Digital Health Devices. JMIR Med Inf 11(1): e49301, 2023. https://doi.org/10.2196/49301
Menzel M, Ossowski S, Kral S, Metzger P, Horak P, Marienfeld R, Borries M, Wolter S, Ball M, Neumann O, Armeanu-Ebinger S, Schroeder C, Matysiak U, Goldschmid H, Schipperges V, Fürstberger A, Allgäuer M, Eberhardt T, Niewöhner J, Blaumeiser A, Ploeger C, Haack TB, Tay TKY, Kelemen O, Pauli T, Kirchner M, Kluck K, Ott A, Renner M, Admard J, Bschweind A, Lassmann S, Kestler HA, Fend F, Illert AL, Werner M, Möller P, Seufferlein TTW, Malek N, Schirmacher P, Fröhling S, Kazdal D, Budczies J, Stenzinger A. Multicentric pilot study to standardize clinical whole exome sequencing (WES) for cancer patients. npj Precis Oncol 7: 106, 2023. https://doi.org/10.1038/s41698-023-00457-x
Fürstberger A, Ikonomi N, Kestler AMR, Marienfeld R, Schwab JD, Kuhn P, Seufferlein T, Kestler HA. AMBAR-interactive alteration annotations for molecular tumor boards. Comput Meth Programs Biomed 240: 107697, 2023. https://doi.org/10.1016/j.cmpb.2023.107697
Weidner FM, Rossini M, Ankerhold J, Kestler HA. A protocol for the use of cloud-based quantum computers for logical network analysis of biological systems. STAR Protocols 4(3), 2023. https://doi.org/10.1016/j.xpro.2023.102438
Werle SD, Ikonomi N, Lausser, L, Kestler AMTU, Weidner, FM, Schwab JD, Maier J, Buchholz M, Gress TM, Kestler AMR, Kestler HA. A systems biology approach to define mechanisms, phenotypes, and drivers in PanNETs with a personalized perspective. npj Syst Biol Appl 9:22, 2023. https://doi.org/10.1038/s41540-023-00283-8
Leinert C, Fotteler M, Kocar TD, Dallmeier D, Kestler HA, Wolf D, Gebhard F, Uhlein A, Steger F, Kilian R, Mueller-Stierlin AS, Michalski CW, Mihaljevic A, Bolenz C, Zengerling F, Leinert E, Schütze S, Hoffmann TK, Onder G, Andersen-Ranberg K, O’Neill D, Schobel J, Swoboda W, Denkinger M. Supporting SURgery with GEriatric Co-Management and AI (SURGE-Ahead): A study protocol for the development of a digital geriatrician. PLoS One 18(6): e0287230, 2023. https://doi.org/10.1371/journal.pone.0287230
Beierle F, Allgaier J, Stupp C, Keil T, Schlee W, Schobel J, Vogel C, Haug F, Haug J, Holfelder M, Langguth B, Langguth J, Riens B, King R, Mulansky L, Schickler M, Stach M, Heuschmann P, Wildner M, Greger H, Reichert M, Kestler HA, Pryss R. Self-Assessment of Having COVID-19 With the Corona Check Mhealth App. IEEE J Biomed Health Inform 27(6): 2794-2805, 2023. https://doi.org/10.1109/JBHI.2023.3264999
Weidner F, Schwab JD, Wölk S, Rupprecht F, Ikonomi N, Werle SD, Hoffmann S, Kühl M, Kestler HA. Leveraging quantum computing for dynamic analyses of logical networks in systems biology. Patterns 4(3): 100705, 2023. https://doi.org/10.1016/j.patter.2023.100705
Thiam P, Lausser L, Kloth C, Blaich D, Liebold A, Beer M, Kestler HA. Unsupervised domain adaptation for the detection of cardiomegaly in cross-domain chest X-ray images. Front Artif Intell 6: 1056422, 2023. https://doi.org/10.3389/frai.2023.1056422
Ebong U, Büttner SM, Schmidt SA, Flack F, Korf P, Peters L, Grüner B, Stenger S, Stamminger T, Kestler H, Beer M, Kloth C. Quantitative Evaluation of COVID-19 Pneumonia CT Using AI Analysis-Feasiblity and Differentiation from Other Common Pneumonia Forms. Diagnostics 13(12): 2129, 2023. https://doi.org/10.3390/diagnostics13122129
Zhu GJ, Khalid F, Zhang DH, Cao ZL, Maity P, Kestler HA, Orioli D, Scharffetter-Kochanek K, Iben S. Ribosomal Dysfunction Is a Common Pathomechanism in Different Forms of Trichothiodystrophy. Cells 12, 12(14), 2023. https://doi.org/10.3390/cells12141877
Huber LT, Kraus JM, Ezic J, Wanli A, Groth M, Laban S, Hoffmann TK, Wollenberg B, Kestler HA, Brunner C. Liquid biopsy: an examination of platelet RNA obtained from head and neck squamous cell carcinoma patients for predictive molecular tumor markers. Explor Target Antitumor Ther 4: 422-46, 2023. https://doi.org/10.37349/etat.2023.00143
Mühlenbruch L, Abou-Kors T, Dubbelaar L, Bichmann L, Kohlbacher O, Bens M, Thomas J, Ezic J, Kraus JM, Kestler HA, von Witzleben A, Mytilineos J, Fürst D, Engelhardt D, Doescher J, Greve J, Schuler PJ, Theodoraki MN, Brunner C, Hoffmann HK, Rammensee HG, Walz JS, Laban S. The HLA ligandome of oropharyngeal squamous cell carcinomas reveals shared tumour-exclusive peptides for semi-personalised vaccination. Br J Cancer 128: 1777-1787, 2023. https://doi.org/10.1038/s41416-023-02197-y
Schönecker S, Hoffmann V, Albashiti F, Thasler R, Hagedorn M, Louiset ML, Anna Kopczak A, Rösler J, Baki E, Wunderlich S, Kohlmayer F, Kuhn K, Boeker M, Tünnerhoff J, Poli S, Ziemann U, Kohlbacher O, Althaus K, Müller S, Ludolph A, Kestler HA, Mansmann U, Dieterich M,Kellert L. PREDICT-juvenile-stroke: PRospective evaluation of a prediction score determining individual clinical outcome three months after ischemic stroke in young adults – a study protocol. BMC Neurol 23(1): 2, 2023. https://doi.org/10.1186/s12883-022-03003-7
Bareiß A, Uzun G, Mikus M, Becker M, Althaus K, Schneiderhan-Marra N, Fürstberger A, Schwab JD, Kestler HA, Holderried M, Martus P, Schenke-Layland K, Bakchoul T. Vaccine Side Effects in Health Care Workers after Vaccination against SARS-CoV-2: Data from TüSeRe:exact Study. Viruses-Basel 15(1): 65, 2023. https://doi.org/10.3390/v15010065
Ganzinger M, Blumenstock M, Fürstberger A, Greulich H, Kestler HA, Marschollek M, Niklas C, Schneider T, Spreckelsen C, Tute E, Varghese J, Dugas M. Federated Electronic Data Capture (fEDC): Architecture and Prototype. J Biomed Inform 138: 104280, 2023. https://doi.org/10.1016/j.jbi.2023.104280
2022
Lausser L*, Szekely R*, Schmid F, Maucher M, Kestler HA. Efficient cross-validation traversals in feature subset selection. Sci Rep 12: 21485, 2022. *joint first authors. https://doi.org/10.1038/s41598-022-25942-4
Müssel C*, Ikonomi N*, Werle SD*, Weidner FM, Maucher M, Schwab JD**, Kestler HA**. CANTATA - prediction of missing links in Boolean networks using genetic programming. Bioinformatics 38(21): 4893-4900, 2022. *joint first authors, **joint senior authors. https://doi.org/10.1093/bioinformatics/btac623
Bellmann P, Thiam P, Kestler HA, Schwenker F. Machine Learning-based Pain Intensity Estimation: Where Pattern Recognition meets Chaos Theory–An Example based on the BioVid Heat Pain Database. IEEE Access 10: 102770-102777, 2022. https://doi.org/10.1109/ACCESS.2022.3208905
Hamberger M*, Ikonomi N*, Schwab JD*, Werle SD*, Fürstberger A, Kestler AMR, Holderried M, Kaisers UX, Steger F, Kestler HA. Interaction Empowerment in Mobile Health: Concepts, Challenges, and Perspectives. JMIR mhealth uhealth 10(4): e32696, 2022. *equal contribution https://doi.org/10.2196/32696
Werle SD*, Ikonomi N*, Schwab JD*, Kraus JM, Weidner FM, Rudolph KL, Pfister AS, Schuler R*, Kühl M*, Kestler HA*. Identification of dynamic driver sets controlling phenotypical landscapes. Comput Struct Biotec 20: 1603-1617, 2022. *equal contribution https://doi.org/10.1016/j.csbj.2022.03.034
Friedrich S, Antes G, Behr S, Binder H, Brannath W, Dumpert F, Ickstadt K, Kestler HA, Lederer J, Leitgöb H, Pauly M, Steland A, Wilhelm A, Friede T. Is there a role for statistics in artificial intelligence? Adv Data Anal Classif 16: 823-846, 2022. https://doi.org/10.1007/s11634-021-00455-6
Karthan M, Martin R, Holl F, Swoboda W, Kestler HA, Pryss R, Schobel J. Enhancing mHealth data collection applications with sensing capabilities. Front Public Health 10: 926234, 2022. https://doi.org/10.3389/fpubh.2022.926234
Devan KS, Kestler HA, Read C, Walther P. Weighted average ensemble-based semantic segmentation in biological electron microscopy images. Histochem Cell Biol 158(5): 447-462, 2022. https://doi.org/10.1007/s00418-022-02148-3
Waldenmaier M, Schulte L, Schönfelder J, Fürstberger A, Kraus JM, Daiss N, Seibold T, Morawe M, Ettrick T, Kestler HA, Kahlert C, Seufferlein T, Eiseler T. Comparative Panel Sequencing of DNA Variants in cf-, ev- and tumorDNA for Pancreatic Ductal Adenocarcinoma Patients. MDPI Cancers 14(4): 1074, 2022. https://doi.org/10.3390/cancers14041074
Bellmann P, Lausser L, Kestler HA, Schwenker F. A Theoretical Approach to Ordinal Classification: Feature Space-Based Definition and Classifier-Independent Detection of Ordinal Class Structures. Appl Sci-Basel 12(4): 1815, 2022. https://doi.org/10.3390/app12041815
Hoffmann N, Mayer G, Has C, Kopczynski D, Al Machot F, Schwudke D, Ahrends R, Marcus K, Eisenacher M, Turewicz M. A Current Encyclopedia of Bioinformatics Tools, Data Formats and Resources for Mass Spectrometry Lipidomics. Metabolites 12(7): 584, 2022. https://doi.org/10.3390/metabo12070584
Stilp AC, Scherer M, König P, Fürstberger A, Kestler HA, Stamminger T. The chromatin remodeling protein ATRX positively regulates IRF3-dependent type I interferon production and interferon-induced gene expression. PLoS Pathog 18(8): e1010748, 2022. https://doi.org/10.1371/journal.ppat.1010748
Krüger J, Breunig M, Pasquini LP, Morawe M, Groß A, Arnold F, Russell R, Seufferlein T, Azoitei N, Kestler HA, Julier C, Heller S, Hohwieler M, Kleger A. Functional Genomic Screening in Human Pluripotent Stem Cells Reveals New Roadblocks in Early Pancreatic Endoderm Formation. Cells-Basel 11(3): 582, 2022. https://doi.org/10.3390/cells11030582
Laut AK, Dorneburg C, Fürstberger A, Barth TFE, Kestler HA, Debatin KM, Beltinger C. CHD5 inhibits metastasis of neuroblastoma. Oncogene 41(5): 622-633, 2022. https://doi.org/10.1038/s41388-021-02081-0
Schön M, Nosanova A, Jacob C, Kraus JM, Kestler HA, Mayer B, Feldengut S, Amunts K, Del Tredici K, Boeckers TM, Braak H. A comparative study of pre-alpha islands in the entorhinal cortex from selected primates and in lissencephaly. J Comp Neurol 530(4): 683-704, 2022. https://doi.org/10.1002/cne.25233
2021
Schwab JD*, Ikonomi N*, Werle SD*, Weidner FM*, Geiger H, Kestler HA. Reconstructing Boolean network ensembles from single-cell data for unraveling dynamics in the aging of human hematopoietic stem cells. Comput Struct Biotec 19: 5321-5332, 2021. *equal contribution. https://doi.org/10.1016/j.csbj.2021.09.012
Thiam P, Hihn H, Braun D*, Kestler HA*, Schwenker F*. Multi-Modal Pain Intensity Assessment Based on Physiological Signals: A Deep Learning Perspective. Front Physiol 12: 720464, 2021. *joint senior authors https://doi.org/10.3389/fphys.2021.720464
Beierle F, Schobel J, Vogel C, Allgaier J, Mulansky L, Haug F, Haug J, Schlee W, Holfelder M, Stach M, Schickler M, Baumeister H, Cohrdes C, Deckert J, Deserno L, Edler J-S, Eichner FA, Greger H, Hein G, Heuschmann P, John D, Kestler HA, Krefting D, Langguth B, Meybohm P, Probst T, Reichert M, Romanos M, Störk S, Terhorst Y, Weiß M, Pryss R. Corona Health - A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic. Int J Environ Res Public Health 18(14): 7395, 2021. https://doi.org/10.3390/ijerph18147395
Völkel G*, Fürstberger A*, Schwab JD*, Werle SD*, Ikonomi N*, Gscheidmeier T, Kraus JM, Groß A, Holderried M, Balig J, Jobst F, Kuhn P, Kuhn KA, Kohlbacher O, Kaisers UX, Seufferlein T*, Kestler HA*. Patient empowerment during the COVID-19 pandemic: Ensuring safe and fast communication of test results. J Med Internet Res 23(6): e27348, 2021. *equal contribution. https://doi.org/10.2196/27348
Schwab JD*, Schobel J*, Werle SD*, Fürstberger A*, Ikonomi N, Szekely R, Thiam P, Hühne R, Jahn N, Schuler R, Kuhn P, Holderried M, Steger F, Reichert M, Kaisers UX, Kestler AMR*, Seufferlein T*, Kestler HA*. Perspective on mHealth Concepts to Ensure Users’ Empowerment–From Adverse Event Tracking for COVID-19 Vaccinations to Oncological Treatment. IEEE Access 9: 83863-83875, 2021. *equal contribution. https://doi.org/10.1109/ACCESS.2021.3087315
Kestler AMR*, Kühlwein SD*, Kraus JM*, Schwab JD, Szekely R, Thiam P, Hühne R, Jahn N, Fürstberger A, Ikonomi N, Balig J, Schuler R, Kuhn P, Steger F, Seufferlein T**, Kestler HA**. Digitalization of adverse event management in oncology to improve treatment outcome—A prospective study protocol. PLoS One 16(6): e0252493, 2021. https://doi.org/10.1371/journal.pone.0252493
Weidner FM*, Schwab JD*, Werle SD*, Ikonomi N*, Lausser L, Kestler HA. Capturing dynamic relevance in Boolean networks using graph theoretical measures. Bioinformatics 37(20): 3530-3537, 2021. *equal contribution https://doi.org/10.1093/bioinformatics/btab277
Schobel J*, Volz M*, Hörner K , Kuhn P, Jobst F, Schwab JD, Ikonomi N, Werle SD, Fürstberger A, Hoenig K*, Kestler HA*. Supporting Medical Staff from Psycho-Oncology with Smart Mobile Devices: Insights into the Development Process and First Results. Int J Environ Res Public Health 18(10): 5092, 2021.*equal contribution. https://doi.org/10.3390/ijerph18105092
Werle SD*, Schwab JD*, Tatura M*, Kirchhoff S, Szekely R, Diels R, Ikonomi N, Sipos B, Sperveslage J, Gress TM, Buchholz M**, Kestler HA**. Unraveling the Molecular Tumor-Promoting Regulation of Cofilin-1 in Pancreatic Cancer. MDPI Cancers 13(4): 725, 2021. *equal contribution, **equally contributing senior authors. https://doi.org/10.3390/cancers13040725
Anderl-Straub S, Lausser L, Lombardi J, Uttner I, Fassbender K, Fliessbach K, Huppertz HJ, Jahn H, Kornhuber J, Obrig H, Schneider A, Semler E, Synofzik, M, Danek A, Prudlo J, Kassubek J, Landwehrmeyer B, Lauer M, Volk AE, Wiltfang J, Diehl-Schmid J, Ludolph AC, Schroeter ML, Kestler HA, Otto M, FTLD Consortium. Predicting disease progression in behavioral variant frontotemporal dementia. Alzheimers Dement DADM 13(1): e12262, 2021. https://doi.org/10.1002/dad2.12262
Zheng X Wezel F, Azoitei A, Meessen S, Wang W, Najjar G, Wang X, Kraus JM, Kestler HA, John A, Zengerling F, Bolenz C, Günes C. Shorter Leukocyte Telomere Length Is Associated with Worse Survival of Patients with Bladder Cancer and Renal Cell Carcinoma. MDPI Cancers 13(15): 3774, 2021. https://doi.org/10.3390/cancers13153774
Beutel AK, Schütte L, Scheible J, Roger E, Müller M, Perkhofer L, Kestler AMTU, Kraus JM, Kestler HA, Barth TFE, Lemke J, Kornmann M, Ettrich TJ, Gout J, Seufferlein T, Kleger A. A prospective Feasibility Trial to Challenge Patient-Derived Pancreatic Cancer Organoids in Predicting Treatment Response. MDPI Cancers 13(11): 2539, 2021. https://doi.org/10.3390/cancers13112539
Niederschweiberer MA, Schaefer PM, Singh LN, Lausser L, Bhosale D, Hesse R, Calzia E, Kestler HA, Rueck A, Wallace DC, von Einem B, von Arnim CAF. NADH Fluorescence Lifetime Imaging Microscopy Reveals Selective Mitochondrial Dysfunction in Neurons Overexpressing Alzheimer’s Disease–Related Proteins. Front Mol Biosci 8: 671274, 2021. https://doi.org/10.3389/fmolb.2021.671274
Mayer G*, Müller W*, Schork K, Uszkoreit J, Weidemann A, Wittig U, Rey M, Quast C, Felden J, Glöckner FO, Lange M, Arend D, Beier S, Junker A, Scholz U, Schüler D, Kestler HA, Wibberg D, Pühler A, Twardziok S, Eils J, Eils R, Hoffmann S, Eisenacher M, Turewicz M. Implementing FAIR data management within the German Network for Bioinformatics Infrastructure (de.NBI) exemplified by selected use cases. Brief Bioinform 22(5): bbab010, 2021. *equal contribution. https://doi.org/10.1093/bib/bbab010
Kapsner LA, Kampf MO, Seuchter SA, Gruendner J, Gulden C, Mate S, Mang JM, Schüttler C, Deppenwiese N, Krause L, Zöller D, Balig J, Fuchs T, Fischer P, Haverkamp C, Holderried M, Mayer G, Stenzhorn H, Stolnicu A, Storck M, Storf H, Zohner J, Kohlbacher O, Strzelczyk A, Schüttler J, Acker T, Boeker M, Kaisers UX, Kestler HA, Prokosch H. Reduced Rate of Inpatient Hospital Admissions in 18 German University Hospitals during the COVID-19 Lockdown. Front Public Health 8: 594117, 2021. https://doi.org/10.3389/fpubh.2020.594117
Völkel G*, Laban S*, Fürstberger A*, Kühlwein SD*, Ikonomi N*, Hoffmann TK, Brunner C, Neuberg DS, Gaidzik V, Döhner H, Kraus JM**, Kestler HA**. Analysis, identification and visualization of subgroups in genomics. Brief Bioinform 22(3): bbaa217, 2021. *equal contribution, **joint senior authors. https://doi.org/10.1093/bib/bbaa217
Müller A*, Lausser L*, Wilhelm A, Ropinski T, Platzer M, Neumann H**, Kestler HA**. A perceptually optimised bivariate visualisation scheme for high-dimensional fold-change data. Adv Data Anal Classif 15(2): 463-480, 2021. *equal contribution, ** equally contributing senior authors. https://doi.org/10.1007/s11634-020-00416-5
Schüttler J, Mang JM, Kapsner LA, Seuchter SA, Binder H, Zöller D, Kohlbacher O, Boeker M, Zacharowski K, Rohde G, Balig J, Kampf MO, Röhrig R, Prokosch HU. Letalität von Patienten mit COVID-19: Untersuchungen zu Ursachen und Dynamik an deutschen Universitätsklinika. Anasthesiol Intensivmed 62(6): 244-257, 2021. https://doi.org/10.19224/ai2021.244
Arnold F, Mahaddalkar PU, Kraus JM, Zhong X, Bergmann W, Srinivasan D, Gout J, Roger E, Beutel AK, Zizer E, Tharehalli U, Daiss N, Russell R, Perkhofer L, Oellinger R, Lin Q, Azoitei N, Weiss F-U, Lerch M, Liebau S, Katz, S-F, Lechel A, Rad R, Seufferlein T, Kestler HA, Ott M, Sharma AD, Hermann PC, Kleger A. Functional Genomic Screening During Somatic Cell Reprogramming Identifies DKK3 as a Roadblock of Organ Regeneration. Adv Sci 8(14): 2100626, 2021. https://doi.org/10.1002/advs.202100626
Laban S, Brand M, Ezić J, Doescher J, Völkel G, Kestler HA, Brunner C, Hoffmann TK. Tumorbiologie des Oropharynxkarzinoms. HNO 69(4): 249-255, 2021. https://doi.org/10.1007/s00106-020-00964-4
Arnold F, Gout J, Wiese H, Weissinger S, Roger E, Perkhofer L, Walter K, Scheible J, Prelli-Bozzo C, Lechel A, Ettrich TJ, Azoitei N, Hao L, Fuerstberger A, Kaminska EK, Sparrer KMJ, Rasche V, Wiese S, Kestler HA, Möller P, Seufferlein T, Frappart PO, Kleger A. RINT1 regulates SUMOylation and the DNA damage response to preserve cellular homeostasis in pancreatic cancer. Cancer Res 81(7): 1758-1774, 2021. https://doi.org/10.1158/0008-5472.CAN-20-2633
Devan KS, Walther P, von Einem J, Ropinski T, Kestler HA, Read C.Improved automatic detection of herpesvirus secondary envelopment stages in electron microscopy by augmenting training data with synthetic labelled images generated by a generative adversarial network. Cell Microbiol 23(2): e13280, 2021. https://doi.org/10.1111/cmi.13280
von Witzleben A, Fehn A, Grages A, Ezić J, Jeske SS, Puntigam LK, Brunner C, Kraus JM, Kestler HA, Doescher J, Brand M, Theodoraki MN, Ottensmeier CH, Hoffmann TK, Schuler PJ, Laban S. Prospective longitudinal study of immune checkpoint molecule (ICM) expression in immune cell subsets during curative conventional therapy of head and neck squamous cell carcinoma (HNSCC). Int J Cancer 148(8): 2023-2035, 2021. https://doi.org/10.1002/ijc.33446
Gout J, Perkhofer L, Morawe M, Arnold F, Ihle M, Biber S, Lange S, Roger E, Kraus JM, Stifter K, Hahn SA, Zamperone A, Engleitner T, Müller M, Walter K, Rodriguez-Aznar E, Sainz B, Hermann PC, Hessmann E, Müller M, Azoitei N, Lechel A, Liebau S Wagner M, Simeone DM, Kestler HA, Seufferlein T, Wiesmüller L, Rad R, Frappart PO, Kleger A. Synergistic targeting and resistance to PARP inhibition in DNA damage repair-deficient pancreatic cancer. Gut 70(4): 743-760, 2021. http://dx.doi.org/10.1136/gutjnl-2019-319970
2020
Lausser L*, Schäfer LM*, Kühlwein SD, Kestler AMR, Kestler HA. Detecting Ordinal Subcascades. Neural Process Lett 52: 2583-2605, 2020. *equal contribution. https://doi.org/10.1007/s11063-020-10362-0
Lausser L*, Szekely R*, Kestler HA. Chained correlations for feature selection. Adv Data Anal Classif 14(4): 871-884, 2020. *equal contribution. https://doi.org/10.1007/s11634-020-00397-5
Lausser L*, Szekely R*, Klimmek A, Schmid F, Kestler HA. Constraining classifiers in molecular analysis: invariance and robustness. J R Soc Interface 17(163): 20190612, 2020. *equal contribution. https://doi.org/10.1098/rsif.2019.0612
Schobel J, Probst T, Reichert M, Schlee W, Schickler M, Kestler HA, Pryss R. Measuring Mental Effort for Creating Mobile Data Collection Applications. Int J Environ Res Public Health 17(5): 1649, 2020. https://doi.org/10.3390/ijerph17051649
Thiam P, Kestler HA*, Schwenker F*. Two-Stream Attention Network for Pain Recognition from Video Sequences. Sensors (Basel) 20(3): 839, 2020. *equally contributing senior authors. https://doi.org/10.3390/s20030839
Mytilineos D, Ezic J, von Witzleben A, Mytilineos J, Lotfi R, Fürst D, Tsamadou C, Theodoraki MN, Oster A, Völkel G, Kestler HA, Brunner C, Schuler PJ, Doescher J, Hoffmann TK, Laban S. Peripheral Cytokine Levels Differ by HPV Status and Change Treatment-Dependently in Patients with Head and Neck Squamous Cell Carcinoma. Int J Mol Sci 21(17): e5990, 2020. https://doi.org/10.3390/ijms21175990
Armacki M*, Polaschek S*, Waldenmaier M, Morawe M, Ruhland C, Schmid R, Lechel A, Tharehalli U, Steup C, Bektas Y, Li H, Kraus JM, Kestler HA, Kruger S, Ormanns S, Walther P, Eiseler T, Seufferlein T. Protein Kinase D1, Reduced in Human Pancreatic Tumors, Increases Secretion of Small Extracellular Vesicles From Cancer Cells That Promote Metastasis to Lung in Mice. Gastroenterology 159(3): 1019-1035, 2020. *equal contribution. https://doi.org/10.1053/j.gastro.2020.05.052
Bauer R, Neffgen N, Grempels A, Furitsch M, Mauerer S, Barbagadze S, Haase G, Kestler H, Spellerberg B. Heterogeneity of Streptococcus anginosus ß-hemolysis in relation to CRISPR/Cas. Mol Oral Microbiol 35(2): 56-65, 2020. https://doi.org/10.1111/omi.12278
Zinngrebe J, Schlichtig F, Kraus JM, Meyer M, Boldrin E, Kestler HA, Meyer LH, Fischer-Posovszky P, Debatin KM. Biomarker Profile for Prediction of Response to SMAC Mimetic Monotherapy in Pediatric Precursor B‐Cell Acute Lymphoblastic Leukemia. Int J Cancer 146(11): 3219-3231, 2020. https://doi.org/10.1002/ijc.32799
Scheffold A, Baig AH, Chen Z, von Löhneysen SE, Becker F, Morita Y, Avila AI, Groth M, Lechel A, Schmid F, Kraus JM, Kestler HA, Stilgenbauer S, Melanie Philipp, Martin D, Burkhalter MD. Elevated Hedgehog activity contributes to attenuated DNA damage responses in aged hematopoietic cells. Leukemia 34(4): 1125-1134, 2020. https://doi.org/10.1038/s41375-019-0641-3
Feder K, Edmaier-Schröger K, Rawat VPS, Kirsten N, Metzeler K, Kraus JM, Döhner K, Döhner H, Kestler HA, Feuring-Buske M, Buske C. Differences in expression and function of LEF1 isoforms in normal versus leukemic hematopoiesis. Leukemia 34(4): 1027-1037, 2020. https://doi.org/10.1038/s41375-019-0635-1
Njeru SN, Kraus JM, Meena JK, Lechel A, Katz S, Kumar M, Knippschild U, Azoitei A, Wezel F, Bolenz C, Leithäuser F, Gollowitzer A, Omrani O, Hoischen C, Koeberle A, Kestler HA, Günes C, Rudolph KL. Aneuploidy-inducing gene knockdowns overlap with cancer mutations and identify Orp3 as a B-cell lymphoma suppressor. Oncogene 39(7): 1445-1465, 2020. https://doi.org/10.1038/s41388-019-1073-2
2019
Lausser L*, Schäfer LM*, Schirra LR*, Szekely R, Schmid F, Kestler HA. Assessing phenotype order in molecular data. Sci Rep 9: 11746, 2019. *equal contribution. https://doi.org/10.1038/s41598-019-48150-z
Amann EM, Groß A, Rojewski MT, Kestler HA, Kalbitz M, Brenner RE, Huber-Lang M, Schrezenmeier H. Inflammatory response of mesenchymal stromal cells after in vivo exposure with selected trauma-related factors and polytrauma serum. PLoS One 14(5): e0216862, 2019. https://doi.org/10.1371/journal.pone.0216862
Groß A, Kracher B, Kraus JM, Kühlwein SD, Pfister AS, Wiese S, Luckert K, Pötz O, Joos T, Van Daele D, De Raedt L, Kühl M, Kestler HA. Representing dynamic biological networks with multi-scale probabilistic models. Commun Biol 2: 21, 2019. https://doi.org/10.1038/s42003-018-0268-3
Thiam P, Bellmann P, Kestler HA, Schwenker F. Exploring Deep Physiological Models for Nociceptive Pain Recognition. Sensors (Basel) 19(20): 4503, 2019. https://doi.org/10.3390/s19204503
Gangkofner DS, Holzinger D, Schroeder L, Zörnig I, Eichmüller SB, Jäger D, Wichmann G, Dietz A, Broglie MA, Herold‐Mende C, Dyckhoff G, Boscolo‐Rizzo P, Ezic J, Marienfeld RB, Möller P, Völkel G, Kraus JM, Kestler HA, Brunner C, Schuler PJ, Wigand M, Theodoraki MN, Doescher J, Hoffmann TK, Pawlita M, Butt J, Waterboer T, Laban S. Patterns of antibody responses to nonviral cancer antigens in head and neck squamous cell carcinoma patients differ by human papillomavirus status. Int J Cancer 145(12): 3436-3444, 2019. https://doi.org/10.1002/ijc.32623
Laban S, Gangkofner DS, Holzinger D, Schroeder L, Eichmüller SB, Zörnig I, Jäger D, Wichmann G, Dietz A, Broglie MA, Herold-Mende CC, Dyckhoff G, Boscolo-Rizzo P, Ezić J, Marienfeld R, Möller P, Kraus JM, Völkel G, Kestler HA, Brunner C, Schuler PJ, Wigand MC, Theodoraki MN, Doescher J, Hoffmann TK, Pawlita M, Waterboer T, Butt J. Antibody responses to cancer antigens identify patients with a poor prognosis among HPV-positive and HPV-negative head and neck squamous cell carcinoma patients. Clin Cancer Res 25(24): 7405-7412, 2019. https://doi.org/10.1158/1078-0432.CCR-19-1490
Sharaf A*, Mensching L*, Keller C, Rading S, Scheffold M, Palkowitsch L, Djogo N, Rezgaoui M, Kestler HA, Moepps B, Failla AV, Karsak M. Systematic affinity purification coupled to mass spectrometry identified p62 as part of the cannabinoid receptor CB2 interactome. Front Mol Neurosci 12: 224, 2019. *equal contribution. https://doi.org/10.3389/fnmol.2019.00224
Seyfried F, Demir S, Hörl RL, Stirnweiß FU, Ryan J, Scheffold , Villalobos-Ortiz M, Boldrin E, Zinngrebe J, Enzenmüller S, Jenni S, Tsai YC, Bornhauser B, Fürstberger A, Kraus JM, Kestler HA, Bourquin JP, Stilgenbauer S, Letai A, Debatin KM and Meyer LH. Prediction of venetoclax activity in precursor B-ALL by functional assessment of apoptosis signaling. Cell Death Dis 10: 571, 2019. https://doi.org/10.1038/s41419-019-1801-0
Kühl SJ, Schneider A, Kestler HA, Toberer M, Kühl M, Fischer MR. Investigating the self-study phase of an inverted biochemistry classroom - collaborative dyadic learning makes the difference. BMC Med Educ 19: 64, 2019. https://doi.org/10.1186/s12909-019-1497-y
Kalkbrenner C, Brucher R, Kesztyüs T, Eichenlaub M, Rottbauer W, Scharnbeck D. Automated sleep stage classification based on tracheal body sound and actigraphy. Ger Med Sci 19: 02, 2019. https://doi.org/10.3205/000268
Devan KS, Walther P, Von Einem J, Ropinski T, Kestler HA, Read C. Detection of herpesvirus capsids in transmission electron microscopy images using transfer learning. Histochem Cell Biol 151(2): 101-114, 2019. https://doi.org/10.1007/s00418-018-1759-5
Cocciardi S, Dolnik A, Kapp-Schwoerer S, Rücker FG, Lux S, Blätte TJ, Skambraks S, Krönke J, Heidel FH, Schnöder TM, Corbacioglu A, Gaidzik VI, Paschka P, Teleanu V, Göhring G, Thol F, Heuser M, Ganser A, Weber D, Sträng E, Kestler HA, Döhner H, Bullinger L, Döhner K. Clonal evolution patterns in acute myeloid leukemia with NPM1 mutation. Nat Commun 10: 2031, 2019. https://doi.org/10.1038/s41467-019-09745-2
2018
Lausser L*, Schäfer LM*, Kestler HA. Ordinal Classifiers Can Fail on Repetitive Class Structures. Archives of Data Science Series A 4(1): 1-37, 2018. *equal contribution. https://doi.org/10.5445/KSP/1000085951/25
Hühne H, Kessler V, Fürstberger A, Kühlwein S, Platzer M, Sühnel J, Lausser L, Kestler HA. 3D Network exploration and visualisation for lifespan data. BMC Bioinformatics 19(1): 390, 2018. https://doi.org/10.1186/s12859-018-2393-x
Tharehalli U, Svinarenko M, Kraus JM, Kühlwein SD, Szekely R, Kiesle U, Scheffold A, Barth TFE, Kleger A, Schirmbeck R, Kestler HA, Seufferlein T, Oswald F, Katz SF, Lechel A. YAP Activation Drives Liver Regeneration after Cholestatic Damage Induced by Rbpj Deletion. Int J Mol Sci 19(12): 3801, 2018. https://doi.org/10.3390/ijms19123801
Chen Z, Amro EM, Becker F, Hölzer M, Rasa SMM, Njeru SN, Han B, Di Sanzo S, Chen Y, Tang D, Tao S, Haenold R, Groth M, Romanov VS, Kirkpatrick JM, Kraus JM, Kestler HA, Marz M, Ori A, Neri F, Morita Y, Rudolph KL. Cohesin-mediated NF-κB signaling limits hematopoietic stem cell self-renewal in aging and inflammation. J Exp Med 216(1): 152-175, 2018. http://doi.org/10.1084/jem.20181505
Kestler HA, McNicholas PD, Wilhelm AFX. Special issue on 'Science of big data: theory, methods and applications'. Adv Data Anal Classif 12(4): 823-825, 2018. https://doi.org/10.1007/s11634-018-0349-7
Armacki M, Trugenberger AK, Ellwanger AK, Eiseler T, Schwerdt C, Bettac L, Langgartner D, Azoitei N, Halbgebauer R, Groß R, Barth T, Lechel A, Walter BM, Kraus JM, Wiegreffe C, Grimm J, Scheffold A, Schneider MR, Peuker K, Zeißig S, Britsch S, Rose-John S, Vettorazzi S, Wolf E, Tannapfel A, Steinestel K, Reber SO, Walther P, Kestler HA, Radermacher P, Barth TFE, Huber-Lang M, Kleger A, Seufferlein T. Thirty-eight-negative kinase 1 mediates trauma-induced intestinal injury and multi-organ failure. J Clin Invest 128(11): 5056-5072, 2018. https://doi.org/10.1172/JCI97912
Bens M, Szafranski K, Holtze S, Sahm A, Groth M, Kestler HA, Hildebrandt T, Platzer M. Naked mole-rat transcriptome signatures of socially suppressed sexual maturation and links of reproduction to aging. BMC Biol 16: 77, 2018. https://doi.org/10.1186/s12915-018-0546-z
Lausser L, Schmid F, Schirra LR, Wilhelm AFX, Kestler HA. Rank-based classifiers for extremely high-dimensional gene expression data. Adv Data Anal Classif 12(4): 917-936, 2018. https://doi.org/10.1007/s11634-016-0277-3
Schwab JD, Kestler HA. Automatic screening for perturbations in Boolean networks. Front Physiol 9: 431, 2018. https://doi.org/10.3389/fphys.2018.00431
Lausser L, Schmid F, Siegle L, Hühne R, Buchholz M, Kestler HA. Identification of biological mechanisms by semantic classifier systems. bioRxiv 335737, 2018. https://doi.org/10.1101/335737
Lausser L*, Siegle L*, Rottbauer W, Frank D**, Just S**, Kestler HA. Semantic multi-classifier systems identify predictive processes in heart failure models across species. Biomolecules 8(4): 158, 2018. *equal contribution, **equally contributing joint senior authors. https://doi.org/10.3390/biom8040158
Kesztyüs D, Erhard J, Schönsteiner D, Kesztyüs T. Therapieoptionen für abdominale Adipositas im Erwachsenenalter. Dtsch Arztbl Int 115(29-30): 487-493, 2018. https://doi.org/10.3238/arztebl.2018.0487
Siegle L*, Schwab JD*, Kühlwein SD*, Lausser L, Tümpel S, Pfister AS, Kühl M**, Kestler HA**. A Boolean Network of the Crosstalk Between IGF and Wnt Signaling in Aging Satellite Cells. Plos One 13(3): e0195126, 2018. * equal contribution, **equally contributing joint senior authors. https://doi.org/10.1371/journal.pone.0195126
Sahm A, Bens M, Szafranski K, Holtze S, Groth M, Görlach M, Calkhoven C, Müller C, Schwab M, Kraus J, Kestler HA, Cellerino A, Burda H, Hildebrandt T, Dammann P, Platzer M. Long-lived rodents reveal signatures of positive selection in genes associated with lifespan. Plos Genetics14(3): e1007272, 2018. https://doi.org/10.1371/journal.pgen.1007272
Schmidt C, Yogendran P, Haag M, Helling-Bakki A, Kesztyüs T. Konzeption und prototypische Implementierung eines Verfahrens zur Übernahme von medizinischen Daten in Virtuelle Patienten. GMS Med Inform Biom Epidemiol 14(3): 13, 2018. https://doi.org/10.3205/mibe000191
Traub M, Lauer R, Kesztyüs T, Wartha O, Steinacker JM, Kesztyüs D, Reseach Group "Join the Healthy Boat“. Skipping breakfast, overconsumption of soft drinks and screen media: longitudinal analysis of the combined influence on weight development in primary schoolchildren. BMC Public Health 18: 363, 2018. https://doi.org/10.1186/s12889-018-5262-7
Hesse R, von Einem B, Wagner F, Bott P, Schwanzar D, Jackson RM, Föhr KJ, Lausser L, Kroker KS, Proepper C, Walther P, Kestler HA, Spires-Jones TL, Boeckers T, Rosenbrock H, von Arnmin CAF. sAPPβ and sAPPα increase structural complexity and E/I input ratio in primary hippocampal neurons and alter Ca2+ homeostasis and CREB1- signaling. Exp Neurol 304: 1-13, 2018. https://doi.org/10.1016/j.expneurol.2018.02.010
Kraus JM, Lausser L, Kuhn P, Jobst F, Bock M, Halanke C, Hummel M, Heuschmann P, Kestler HA. Big data and precision medicine: challenges and strategies with healthcare data. Int J Data Sci Anal 6(3): 241-249, 2018. https://doi.org/10.1007/s41060-018-0095-0
Lausser L, Szekely R, Schirra LR, Kestler HA. The Influence of Multi-class Feature Selection on the Prediction of Diagnostic Phenotypes. Neural Process Lett 48(2): 863-880, 2018. https://doi.org/10.1007/s11063-017-9706-3
2017
Burkovski A, Schirra LR, Schmid F, Lausser L, Kestler HA. Ordinal Prototype-Based Classifiers. Archives of Data Science Series A 2(1): 1-35, 2017. https://doi.org/10.5445/ksp/1000058749/29
Schwab JD, Siegle L, Kühlwein SD, Kühl M, Kestler HA. Stability of Signaling Pathways during Aging - A Boolean Network Approach. MDPI Biology 6(4): 46, 2017. https://doi.org/10.3390/biology6040046
Kesztyüs T, Simonsmeier U, Kesztyüs D. Developing a classification system for haemoglobin management in patients with end-stage renal disease on haemodialysis: a secondary data analysis. BMJ Open 7(11): e017423, 2017. http://dx.doi.org/10.1136/bmjopen-2017-017423
Meyer P, Maity P, Burkovski A, Schwab J, Müssel C, Singh, K, Ferreira FF, Krug L, Maier HJ, Wlaschek M, Wirth T, Kestler HA*, Scharffetter-Kochanek K*. A model of the onset of the senescence associated secretory phenotype after DNA damage induced senescence. PLoS Comput Biol 13(12): e1005741, 2017. *corresponding author, joint senior authors https://doi.org/10.1371/journal.pcbi.1005741
Agba OB, Lausser L, Huse K, Bergmeier C, Jahn N, Groth M, Bens M, Sahm A, Witte OW, Kestler HA, Schwab M, Platzer M. Tissue-, sex-, and age-specific DNA methylation of rat glucocorticoid receptor gene promoter and insulin-like growth factor 2 imprinting control region. Physiol Genomics 49: 690-702, 2017. https://doi.org/10.1152/physiolgenomics.00009.2017
Sträng JE, Schuler R, Kühl M, Kestler HA. Switch-like behavior enables Wnt11 concentration specific response during dorso-ventral axis formation in Xenopus laevis. J Theor Biol 429: 82-94, 2017. https://doi.org/10.1016/j.jtbi.2017.06.027
Münch V, Trentin L, Herzig J, Demir S, Seyfried F, Kraus JM, Kestler HA, Köhler R, Barth TFE, te Kronnie G, Debatin KM, Meyer LH. Central nervous system involvement in acute lymphoblastic leukemia is mediated by vascular endothelial growth factor. Blood 130(5): 643-654, 2017. https://doi.org/10.1182/blood-2017-03-769315
Scott RA, Scott LJ, Mägi R, Marullo L, Gaulton KJ, et al., Kestler HA, et al. An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans. Diabetes 66: 2888-2902, 2017. https://doi.org/10.2337/db16-1253
Schwab J, Burkovski A, Siegle L, Müssel C, Kestler HA. ViSiBooL — visualization and simulation of Boolean networks with temporal constraints. Bioinformatics 33(4): 601-604, 2017. https://doi.org/10.1093/bioinformatics/btw661
Barth TFE, Kraus JM, Lausser L, Flossbach L, Schulte L, Holzmann K, Kestler HA, Möller P. Comparative gene-expression profiling of the large cell variant of gastrointestinal marginal-zone B-cell lymphoma. Sci Rep 7(1): 5963, 2017. https://doi.org/10.1038/s41598-017-05116-3
Hesse R, Lausser L, Gummert P, Schmid F, Wahler A, Schnack C, Kroker KS, Otto M, Tumani H, Kestler HA, Rosenbrock H, von Arnim CAF. Reduced cGMP levels in CSF of AD patients correlate with severity of dementia and current depression. Alzheimers Res Ther 9(1): 17, 2017. https://doi.org/10.1186/s13195-017-0245-y
2016
Völkel G, Wiese S, Holzmann K, Kraus JM, Schneider F, Görlach M, Kestler HA. TraqBio - Flexible Progress Tracking for Core Unit Projects. PLoS ONE 11(9): e0162857, 2016. https://doi.org/10.1371/journal.pone.0162857
Taudien S, Lausser L, Giamarellos-Bourboulis EJ, Sponholz C, Schöneweck F, Felder M, Schirra LR, Schmid F, Gogos C, Groth S, Petersen BS, Franke A, Lieb W, Huse K, Zipfel PF, Kurzai, Moepps B, Gierschik P, Bauer M, Scherag A, Kestler HA, Platzer M. Genetic Factors of the Disease Course After Sepsis: Rare Deleterious Variants Are Predictive. EBioMedicine 12: 227-238, 2016. https://doi.org/10.1016/j.ebiom.2016.08.037
Schwörer S, Becker F, Feller C, Baig AH, Köber U, Henze H, Kraus JM, Xin B, Lechel A, Lipka DB, Varghese CS, Schmidt M, Rohs R, Aebersold R, Medina KL, Kestler HA, Neri F, von Maltzahn J, Tümpel S, Rudolph KL. Epigenetic stress responses induce muscle stem-cell ageing by Hoxa9 developmental signals. Nature 540(7633): 428-432, 2016. https://doi.org/10.1038/nature20603
Schmid F, Schmid M, Müssel C, Sträng JE, Buske C, Bullinger L, Kraus JM, Kestler HA. GiANT: gene set uncertainty in enrichment analysis. Bioinformatics 32(12): 1891-1894, 2016. https://doi.org/10.1093/bioinformatics/btw030
Schade A, Walliser C, Wist M, Haas J, Vatter P, Kraus JM, Filingeri D, Havenith G, Kestler HA, Milner JD, Gierschik P. Cool-temperature-mediated activation of phospholipase C-γ 2 in the human hereditary disease PLAID. Cell Signal 28(9): 1237-1251, 2016. https://doi.org/10.1016/j.cellsig.2016.05.010
Müssel C, Schmid F, Blätte TJ, Hopfensitz M, Lausser L, Kestler HA. BiTrinA—multiscale binarization and trinarization with quality analysis. Bioinformatics 32(3): 465-468, 2016. https://doi.org/10.1093/bioinformatics/btv591
Lausser L, Schmid F, Platzer M, Sillanpää M, Kestler HA. Semantic multi-classifier systems for the analysis of gene expression profiles. Archives of Data Science Series A 1(1), 157-176, 2016. https://doi.org/10.5445/KSP/1000058747/09
Krowiorz K, Ruschmann J, Lai C, Ngom M, Maetzig T, Martins V, Scheffold A, Schneider E, Pochert N, Miller C, Palmqvist L, Staffas A, Mulaw M, Bohl SR, Buske C, Heuser M, Kraus JM, O’Neill K, Hansen CL, Petriv OI, Kestler HA, Döhner H, Bullinger L, Döhner K, Humphries RK, Rouhi A, Kuchenbauer F. MiR-139-5p is a potent tumor suppressor in adult acute myeloid leukemia. Blood Cancer J 6(12): e508, 2016. https://doi.org/10.1038/bcj.2016.110
Gaidzik VI, Teleanu V, Papaemmanuil E, Weber D, Paschka P, Hahn J, Wallrabenstein T, Kolbinger B, Köhne CH, Horst HA, Brossart P, Held G, Kündgen A, Ringhoffer M, Götze K, Rummel M, Gerstung M, Campbell P, Kraus JM, Kestler HA, Thol F, Heuser M, Schlegelberger B, Ganser A, Bullinger L, Schlenk RF, Döhner K, Döhner H. RUNX1 mutations in acute myeloid leukemia are associated with distinct clinico-pathologic and genetic features. Leukemia 30(11): 2160-2168, 2016. https://doi.org/10.1038/leu.2016.126
Dahlhaus M, Burkovski A, Hertwig F, Müssel C, Volland R, Fischer M, Debatin KM, Kestler HA*, Beltinger C*. Boolean modeling identifies Greatwall/MASTL as an important regulator in the AURKA network of neuroblastoma. Cancer Lett 371(1): 79-89, 2016. *corresponding authors. https://doi.org/10.1016/j.canlet.2015.11.025
Kaistha BP, Lorenz H, Schmidt H, Sipos B, Pawlak M, Gierke B, Kreider R, Lankat-Buttgereit B, Sauer M, Fiedler L, Krattenmacher A, Geisel B, Kraus JM, Frese KK, Kelkenberg S, Giese NA, Kestler HA, Gress TM, Buchholz M. PLAC8 Localizes to the Inner Plasma Membrane of Pancreatic Cancer Cells and Regulates Cell Growth and Disease Progression through Critical Cell-Cycle Regulatory Pathways. Cancer Res 76(1): 96-107, 2016. https://doi.org/10.1158/0008-5472.CAN-15-0216
2015
Reichwald K, Petzold A, Koch P, Downie BR, Hartmann N, Pietsch S, Baumgart M, Chalopin D, Felder M, Bens M, Sahm A, Szafranski K, Taudien S, Groth M, Arisi I, Weise A, Bhatt SS, Sharma V, Kraus JM, Schmid F, Priebe S, Liehr T, Görlach M, Than ME, Hiller M, Kestler HA, Volff JN, Schartl M, Cellerino A, Englert C, Platzer M. Insights into Sex Chromosome Evolution and Aging from the Genome of a Short-Lived Fish. Cell 163(6): 1527-1538, 2015. https://doi.org/10.1016/j.cell.2015.10.071
Gaulton KJ, Ferreira T, Lee Y, et al., Kestler H, et al., Altshuler D, Boehnke M, Teslovich TM, McCarthy MI, Morris AP, DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium. Genetic fine mapping and genomic annotation defines causal mechanisms at type 2 diabetes susceptibility loci. Nat Genet 47(12): 1415-1425, 2015. https://doi.org/10.1038/ng.3437
Grieb M, Burkovski A, Sträng JE, Kraus JM, Groß A, Palm G, Kühl M, Kestler HA. Predicting Variabilities in Cardiac Gene Expression with a Boolean Network Incorporating Uncertainty. PLoS One 10(7): e0131832, 2015. https://doi.org/10.1371/journal.pone.0131832
Meena JK, Cerutti A, Beichler C, Morita Y, Bruhn C, Kumar M, Kraus JM, Speicher MR, Wang ZQ, Kestler HA, d'Adda di Fagagna F, Günes C, Rudolph KL. Telomerase abrogates aneuploidy-induced telomere replication stress, senescence and cell depletion. EMBO J 34(10): 1371-1384, 2015. https://doi.org/10.15252/embj.201490070
Hein K, Mittler G, Cizelsky W, Kühl M, Ferrante F, Liefke R, Berger IM, Just S, Sträng JE, Kestler HA, Oswald F, Borggrefe T. Site-specific methylation of Notch1 controls the amplitude and duration of the Notch1 response. Sci Signal 8(369): ra30, 2015. https://doi.org/10.1126/scisignal.2005892
Tao S, Tang D, Morita Y, Sperka T, Omrani O, Lechel A, Sakk V, Kraus J, Kestler HA, Kühl M, Rudolph KL. Wnt activity and basal niche position sensitize intestinal stem and progenitor cells to DNA damage. EMBO J 34(5): 624-640, 2015. https://doi.org/10.15252/embj.201490700
Völkel G, Lausser L, Schmid F, Kraus JM, Kestler HA. Sputnik: ad hoc distributed computation. Bioinformatics 31(8): 1298-301, 2015. https://doi.org/10.1093/bioinformatics/btu818
Schmid M, Kestler HA, Potapov S. On the validity of time-dependent AUC estimators. Brief Bioinform 16(1): 153-168, 2015. https://doi.org/10.1093/bib/bbt059
Kraus JM, Lausser L, Kestler HA. Exhaustive k-nearest neighbour subspace clustering. J Stat Comput Simul 85(1): 30-46, 2015. https://doi.org/10.1080/00949655.2014.933222
Fürstberger A, Maucher M, Kestler HA. Extended pairwise local alignment of wild card DNA/RNA-sequences using dynamic programming. J Stat Comput Simul 85(1): 3-13, 2015. https://doi.org/10.1080/00949655.2014.928294
2014
Azoitei N, Diepold K, Brunner C, Rouhi A, Genze F, Becher A, Kestler H, van Lint J, Chiosis G, Koren J, Fröhling S, Scholl C, Seufferlein T. HSP90 Supports Tumor Growth and Angiogenesis through PRKD2 Protein Stabilization. Cancer Research 74(23): 7125-7136, 2014. https://doi.org/10.1158/0008-5472.CAN-14-1017
Gonzalez O, Assfalg R, Koch S, Schelling A, Meena J, Kraus J, Lechel A, Katz S, Benes V, Scharffetter-Kochanek K, Kestler HA, Guenes C, Iben S. Telomerase stimulates ribosomal DNA transcription under hyperproliferative conditions. Nat Commun 5: 4599, 2014. https://doi.org/10.1038/ncomms5599
Lausser L, Schmid F, Schmid M, Kestler HA. Unlabeling data can improve classification accuracy. Pattern Recognit Lett 37: 15-23, 2014. https://doi.org/10.1016/j.patrec.2013.03.027
Maucher M, Kracht DV, Schober S, Bossert M, Kestler HA. Inferring Boolean functions via higher-order correlations. Comput Stat 29(1-2): 97-115, 2014. https://doi.org/10.1007/s00180-012-0385-2
Lausser L, Müssel C, Melkozerov A, Kestler HA. Identifying predictive hubs to condense the training set of k-nearest neighbour classifiers. Comput Stat 29(1-2): 81-95, 2014. https://doi.org/10.1007/s00180-012-0379-0
Kletting P, Schimmel S, Kestler HA, Hänscheid H, Luster M, Fernández M, Bröer JH, Nosske D, Lassmann M, Glatting G. Molecular radiotherapy: The NUKFIT software for calculating the time-integrated activity coefficient. Med Phys 40, 102504, 2013, with erratum Med Phys. Mar;41(3): 037201, 2014. https://doi.org/10.1118/1.4820367
2013
Schnattinger T, Schöning U, Marchfelder A, Kestler HA. RNA-Pareto: Interactive Analysis of Pareto-optimal RNA Sequence-Structure Alignments. Bioinformatics 29(23): 3102-4, 2013. https://doi.org/10.1093/bioinformatics/btt536
Florian MC, Nattamai KJ, Dörr K, Marka G, Ueberle B, Vas V, Eckl C, Andrä I, Schiemann M, Oostendorp RA, Scharffetter-Kochanek K, Kestler HA, Zheng Y, Geiger H. A canonical to non-canonical Wnt signalling switch in hematopoietic stem cell ageing. Nature 503(7476): 392-396, 2013. https://doi.org/10.1038/nature12631
Schnattinger T, Schöning U, Kestler HA. Structural RNA alignment by multi-objective optimization. Bioinformatics 29(13): 1607-1613, 2013. https://doi.org/10.1093/bioinformatics/btt188
Moreno D, Neller J, Kestler HA, Kraus J, Dünkler A, Johnsson N. A fluorescent reporter for mapping cellular protein-protein interactions in time and space. Mol Syst Biol 9: 647, 2013. https://doi.org/10.1038/msb.2013.3
Radulovic K, Rossini V, Manta C, Holzmann K, Kestler HA, Niess JH. The Early Activation Marker CD69 Regulates the Expression of Chemokines and CD4 T Cell Accumulation in Intestine. PLoS One 8(6): e65413, 2013. https://doi.org/10.1371/journal.pone.0065413
Lausser L, Müssel C, Maucher M, Kestler HA. Measuring and visualizing the stability of biomarker selection techniques. Comput Stat 28(1): 51-65, 2013. https://doi.org/10.1007/s00180-011-0284-y
Hopfensitz M, Müssel C, Maucher M, Kestler HA. Attractors in Boolean networks - a tutorial. Comput Stat 28(1): 19-36, 2013. https://doi.org/10.1007/s00180-012-0324-2
Schels M, Scherer S, Glodek M, Kestler HA, Palm G, Schwenker F. On the discovery of events in EEG data utilizing information fusion. Comput Stat 28(1): 5-18, 2013. https://doi.org/10.1007/s00180-011-0292-y
2012
Gradinaru C, Lopacinska JM, Huth J, Kestler HA, Flyvbjerg H, Mølhave K. Assessment of Automated Analyses of Cell Migration on Flat and Nanostructured Surfaces. Comput Struct Biotechnol J 1(2): e201207004, 2012. https://doi.org/10.5936/csbj.201207004
Herrmann F, Groß A, Zhou D, Kestler HA*, Kühl M. A Boolean Model of the Cardiac Gene Regulatory Network Determining First and Second Heart Field Identity. PLoS One 7(10): e46798, 2012. *corresponding author. https://doi.org/10.1371/journal.pone.0046798
Krndija D, Münzberg C, Maass U, Hafner M, Adler G, Kestler HA, Seufferlein T, Oswald F, von Wichert G. The phosphatase of regenerating liver 3 (PRL-3) promotes cell migration via Arf-activity dependent stimulation of integrin alpha5 recycling. J Cell Sci 125(Pt 16):3883-3892, 2012. https://doi.org/10.1242/jcs.104885
Begus-Nahrmann Y, Hartmann D, Kraus J, Eshraghi P, Scheffold A, Grieb M, Rasche V, Schirmacher P, Lee H-W, Kestler HA, Lechel A, Rudolph KL. Transient telomere dysfunction induces chromosomal instability and promotes carcinogenesis. J Clin Invest 122(6): 2283-2288, 2012. https://doi.org/10.1172/JCI61745
Azoitei N, Hoffmann CM, Ellegast JM, Ball CR, Obermayer K, Gößele U, Koch B, Faber K, Genze F, Schrader M, Kestler HA, Döhner H, Chiosis G, Glimm H, Fröhling S, Scholl C. Targeting of KRAS mutant tumors by HSP90 inhibitors involves degradation of STK33. J Exp Med 209(4): 697-711, 2012. https://doi.org/10.1084/jem.20111910
Katz S, Lechel A, Obenauf AC, Begus-Nahrmann Y, Kraus J, Hoffmann EM, Duda J, Eshraghi P, Hartmann D, Liss B, Schirmacher P, Kestler HA, Speicher MR, Rudolph KL. Disruption of Trp53 in Livers of Mice Induces Formation of Carcinomas With Bilineal Differentiation. Gastroenterology 142(5): 1229-1239.e3, 2012. https://doi.org/10.1053/j.gastro.2012.02.009
Kleger A, Mahaddalkar PU, Katz S, Lechel A, Joo JY, Loya K, Lin Q, Hartmann D, Liebau S, Kraus JM, Cantz T, Kestler HA, Zaehres H, Schöler H, Rudolph KL. Increased Reprogramming Capacity of Mouse Liver Progenitor Cells, Compared With Differentiated Liver Cells, Requires the BAF Complex. Gastroenterology 142(4): 907-917, 2012. https://doi.org/10.1053/j.gastro.2012.01.004
Gress TM*, Kestler HA*, Lausser L, Fiedler L, Sipos B, Michalski CW, Werner J, Giese N, Scarpa A, Buchholz M. Differentiation of multiple types of pancreatico-biliary tumors by molecular analysis of clinical specimens. J Mol Med (Berl) 90(4): 4574-464, 2012. *equal contribution. https://doi.org/10.1007/s00109-011-0832-5
Müssel C, Lausser L, Maucher M, Kestler HA. Multi-Objective Parameter Selection for Classifiers. J Stat Softw 46(5): 1-27, 2012. https://doi.org/10.18637/jss.v046.i05
Hopfensitz M, Müssel C, Wawra C, Maucher M, Kühl M, Neumann H, Kestler HA. Multiscale binarization of gene expression data for reconstructing Boolean networks. IEEE/ACM Trans Comput Biol Bioinform 9(2): 487-498, 2012. https://doi.org/10.1109/TCBB.2011.62
Wang J, Sun Q, Morita Y, Jiang H, Groß A, Lechel A, Hildner K, Guachalla LM, Gompf A, Hartmann D, Schambach A, Wuestefeld T, Dauch D, Schrezenmeier H, Hofmann W, Nakauchi H, Ju Z, Kestler HA, Zender L, Rudolph KL. A Differentiation Checkpoint Limits Hematopoietic Stem Cell Self-Renewal in Response to DNA Damage. Cell 148(5): 1001-1014, 2012. https://doi.org/10.1016/j.cell.2012.01.040
Watabe-Rudolph M, Song Z, Lausser L, Schnack C, Begus-Nahrmann Y, Scheithauer M, Rettinger G, Otto M, Tumani H, Thal DR, Attems J, Jellinger KA, Kestler HA*, von Arnim CAF*, Rudolph KL*. Chitinase enzyme activity in CSF is a powerful biomarker of Alzheimer disease. Neurology 78(8): 569-577, 2012. *corresponding authors. https://doi.org/10.1212/WNL.0b013e318247caa1
Radulovic K, Manta C, Rossini V, Holzmann K, Kestler HA, Wegenka UM, Nakayama T, Niess JH. CD69 regulates type I IFN-induced tolerogenic signals to mucosal CD4 T cells that attenuate their colitogenic potential. J Immunol 188(4): 2001-2013, 2012. https://doi.org/10.4049/jimmunol.1100765
Zickler AM, Hampp S, Messiaen L, Bengesser K, Mussotter T, Roehl AC, Wimmer K, Mautner VF, Kluwe L, Upadhyaya M, Pasmant F, Chuzhanova N, Kestler HA, Högel J, Legius E, Claes K, Cooper DN, Kehrer-Sawatzki H. Characterization of the nonallelic homologous re- combination hotspot PRS3 associated with type-3 NF1 deletions. Hum Mutat 33(2): 372-383, 2012. https://doi.org/10.1002/humu.21644
2011
Huth J, Buchholz M, Kraus JM, Molhave K, Gradinaru C, von Wichert G, Gress TM, Neumann H, Kestler HA. TimeLapseAnalyzer: multi-target analysis for live-cell imaging and time-lapse microscopy. Comput Methods Programs Biomed 104(2): 227-234, 2011. https://doi.org/10.1016/j.cmpb.2011.06.002
Russ AC, Sander S, Lück SC, Lang KM, Bauer M, Rücker FG, Kestler HA, Schlenk RF, Döhner H, Holzmann K, Döhner K, Bullinger L. Integrative nucleophosmin mutation-associated microRNA and gene expression pattern analysis identifies novel microRNA - target gene interactions in acute myeloid leukemia. Haematologica 96(12): 1783-1791, 2011. https://doi.org/10.3324/haematol.2011.046888
Kestler HA, Kühl M. Generating a Wnt switch: it’s all about the right dosage. J Cell Biol 193(3): 431-433, 2011. https://doi.org/10.1083/jcb.201103167
Kestler HA, Lausser L, Lindner W, Palm G. On the fusion of threshold classifiers for categorization and dimensionality reduction. Comput Stat 26(2): 321-340, 2011. https://doi.org/10.1007/s00180-011-0243-7
Maucher M, Kracher B, Kühl M, Kestler HA. Inferring Boolean network structure via correlation. Bioinformatics 27(11): 1529-1536, 2011. https://doi.org/10.1093/bioinformatics/btr166
Maucher M, Schöning U, Kestler HA. Search heuristics and the influence of non-perfect randomness - Examining Genetic Algorithms and Simulated Annealing. Comput Stat 26(2): 303-319, 2011. https://doi.org/10.1007/s00180-011-0237-5
Kraus JM, Müssel C, Palm G, Kestler HA. Multi-objective selection for collecting cluster alternatives. Comput Stat 26(2): 341-353, 2011. https://doi.org/10.1007/s00180-011-0244-6
Meyer LH*, Eckhoff SM*, Queudeville M, Kraus JM, Giordan M, Stursberg J, Zangrando A, Vendramini E, Moericke A, Zimmermann M, Schrauder A, Lahr G, Holzmann K, Schrappe M, Basso G, Stahnke K*, Kestler HA*, te Kronnie G*, Debatin KM. Early Relapse in Pediatric ALL is identified by Time To Leukemia in NOD/SCID mice and is characterized by a gene signature involving survival pathways. Cancer Cell 19(2): 206-217, 2011. *equal contribution. https://doi.org/10.1016/j.ccr.2010.11.014
2010
Song Z, von Figura G, Liu Y, Kraus JM, Torrice C, Dillon P, Rudolph-Watabe M, Ju Z, Kestler HA*, Sanoff H, Rudolph KL*. Lifestyle impacts on the aging associated expression of biomarkers of DNA damage and telomere dysfunction in human blood. Aging Cell 9(4): 607-615, 2010. *corresponding authors. https://doi.org/10.1111/j.1474-9726.2010.00583.x
Stephen SL, Montini E, Sivanandam VG, Al-Dhalimy M, Kestler HA, Finegold M, Grompe M, Kochanek S. Chromosomal integration of adenoviral vector DNA in vivo. J Virol 84(19): 833- 838, 2010. https://doi.org/10.1128/JVI.00751-10
Juchems M, Römpp A, Kestler HA, Ernst A, Brambs HJ, Adler G, Aschoff A, Wagner M. CT-Kolonographie versus Videokoloskopie zum Nachweis kolorektaler Lä̈sionen in der Vorsorge-population. Dtsch Med Wochenschr 135(34-35): 1656-1661, 2010. https://doi.org/10.1055/s-0030-1262457
Kraus JM, Kestler HA. A highly efficient multi-core algorithm for clustering extremely large datasets. BMC Bioinform 11(1): 169, 2010. https://doi.org/10.1186/1471-2105-11-169
Müssel C, Hopfensitz M, Kestler HA. BoolNet - an R package for generation, reconstruction, and analysis of Boolean networks. Bioinformatics 26(10): 1378-1380, 2010. https://doi.org/10.1093/bioinformatics/btq124
Huth J, Buchholz M, Kraus JM, Schmucker M, von Wichert G, Krndija D, Seufferlein T, Gress TM, Kestler HA. Significantly improved precision of cell migration analysis in time-lapse video microscopy through use of a fully automated tracking system. BMC Cell Biol 11: 24, 2010. https://doi.org/10.1186/1471-2121-11-24
Chevillotte M, von Einem J, Meier BM, Lin FM, Kestler HA*, Mertens T*. A new tool linking human cytomegalovirus drug resistance mutations to resistance phenotypes. Antiviral Res 85: 318-327, 2010. *corresponding authors. https://doi.org/10.1016/j.antiviral.2009.10.004
2009
Hombach V, Merkle N, Torzewski J, Kraus JM, Kunze M, Zimmermann O, Kestler HA*, Wöhrle J*. Electrocardiographic and cardiac magnetic resonance imaging parameters as predictors of a worse outcome in patients with idiopathic dilated cardiomyopathy. Eur Heart J 30(11- 12): 1110-1125, 2009. *corresponding authors. https://doi.org/10.1093/eurheartj/ehp293
Begus-Nahrmann Y, Lechel A, Obenauf AC, Nalapareddy K, Peit E, Hoffmann E, Schlaudraff F, Liss B, Schirmacher P, Kestler HA, Danenberg E, Barker N, Clevers H, Speicher MR, Rudolph KL. p53 deletion impairs clearance of chromosomal-instable stem cells in aging telomere- dysfunctional mice. Nat Genet 41(10): 1138-1143, 2009. https://doi.org/10.1038/ng.426
Schwaenen C, Viardot A, Berger H, Barth TF, Bentink S, Döhner H, Enz M, Feller AC, Hansmann ML, Hummel M, Kestler HA, Klapper W, Kreuz M, Lenze D, Loeffler M, Möller P, Müller-Hermelink HK, Ott G, Rosolowski M, Rosenwald A, Ruf S, Siebert R, Spang R, Stein H, Truemper L, Lichter P, Bentz M, Wessendorf S. Microarray-based genomic profiling reveals novel genomic aberrations in follicular lymphoma which associate with patient survival and gene expression status. Genes Chromosomes Cancer 48(1): 39-54, 2009. https://doi.org/10.1002/gcc.20617
2008
Sander S, Bullinger L, Klapproth K, Fiedler K, Kestler HA, Barth TF, Möller P, Stilgenbauer S, Pollack JR, Wirth T. MYC stimulates EZH2 expression by repression of its negative regulator miR-26a. Blood 112: 4202-4212, 2008. https://doi.org/10.1182/blood-2008-03-147645
Kestler HA, Müller A, Kraus JM, Buchholz M, Gress TM, Liu H, Kane DW, Zeeberg BR, Weinstein JN. VennMaster: Area-proportional Euler diagrams for functional GO analysis of microarrays. BMC Bioinform 9(1): 67, 2008. https://doi.org/10.1186/1471-2105-9-67
Wöhrle J, Marx N, Koenig W, Hombach V, Kestler HA, Höher M, Nusser T. Impact of pioglitazone on coronary endothelial function in non-diabetic patients with coronary artery disease. Clinical Research in Cardiology 97(10): 726-733, 2008. https://doi.org/10.1007/s00392-008-0663-8
Hombach V, Merkle N, Kestler HA, Torzewski J, Kochs M, Marx N, Nusser T, Burgstahler C, Rasche V, Bernhardt P, Kunze M, Wöhrle J. Characterization of patients with acute chest pain using cardiac magnetic resonance imaging. Clin Res Cardiol97(10): 760-767, 2008. https://doi.org/10.1007/s00392-008-0675-4
Sträng, JE. Localization of quantum wave packets. J Phys A: Math Theor 41(3): 035307, 2008.
2007
Anton R, Kestler HA, Kühl M. Beta-catenin signaling contributes to stemness and regulates early differentiation in murine embryonic stem cells. FEBS Lett 581(27): 5247-5254, 2007. https://doi.org/10.1016/j.febslet.2007.10.012
Wöhrle J, Nusser T, Krause BJ, Kochs M, Habig T, Mottaghy FM, Kestler HA, Hombach V. Patients with in-stent restenoses: comparison of intracoronary beta-brachytherapy using a rhenium-188 filled balloon catheter with the polymer-based paclitaxel-eluting taxus-express stent. Nuklearmedizin 46(5): 185-191, 2007. https://doi.org/10.1160/nukmed-0084
Wawra C, Kühl M, Kestler HA. Extended analyses of the Wnt/beta-catenin pathway: Robustness and oscillatory behaviour. FEBS Lett 581(21): 4043-4048, 2007. https://doi.org/10.1016/j.febslet.2007.07.043
Wessendorf S, Barth TFE, Viardot A, Mueller A, Kestler HA, Kohlhammer H, Lichter P, Bentz M, Döhner H, Möller P, Schwaenen C. Further delinieation of chromosomal consensus regions in primary mediastinal B-cell lymphomas – an analysis of 37 tumor samples using high resolution genomic profiling (array-CGH). Leukemia 21(12): 2463-2469, 2007. https://doi.org/10.1038/sj.leu.2404919
Müller A, Holzmann KH, Kestler HA. Visualization of genomic aberrations using Affymetrix SNP arrays. Bioinformatics 23(4): 496-497, 2007. https://doi.org/10.1093/bioinformatics/btl608
Barth TFE*, Barth CA*, Kestler HA*, Michl P, Weniger MA, Buchholz M, Möller P, Gress T. Transcriptional profiling suggests that secondary and primary large B-cell lymphomas of the gastrointestinal (GI) tract are blastic variants of GI marginal zone lymphoma. J Pathol 211(3): 305-313, 2007. *equal contribution. https://doi.org/10.1002/path.2096
Hofmeister, T, Schöning, U, Schuler, R, Watanabe, O. Randomized Algorithms for 3-SAT. Theory Comput Syst 40(3): 249-262, 2007. https://doi.org/10.1007/s00224-005-1275-6
Fensterer H, Radlwimmer B, Sträter J, Buchholz M, Aust DE, Julié C, Radvanyi F, Nordlinger B, Belluco C, Van Cutsem E, Köhne CH, Kestler HA, Schwaenen C, Nessling M, Lutz MP, Lichter P, Gress TM, the EORTC Gastrointestinal (GI) Group. Matrix-comparative genomic hybridization from multicenter formalin-fixed paraffin-embedded colorectal cancer tissue blocks. BMC Cancer 7: 58, 2007. https://doi.org/10.1186/1471-2407-7-58
Merkle N, Wöhrle J, Grebe OC, Nusser T, Kunze M, Kestler HA, Kochs M, Hombach V. Assessment of myocardial perfusion to detect coronary artery stenoses by steady-state-free- precession magnetic resonance first-pass imaging. Heart 93(11): 1381-1385, 2007. https://doi.org/10.1136/hrt.2006.104232
Wöhrle J, Nusser T, Kestler HA, Kochs M, Hombach V. Comparison of the slow-release polymerbased paclitaxel-eluting Taxus-Express stent with the bare-metal Express stent for saphenous vein graft interventions. Clin Res Cardiol 96(2): 70-76, 2007. https://doi.org/10.1007/s00392-006-0460-1
2006
Wöhrle J, Nusser T, Merkle N, Kestler HA, Grebe OC, Marx N, Höher M, Kochs M, Hombach V. Myocardial Perfusion Reserve in Cardiovascular Magnetic Resonance: Correlation to Coronary Microvascular Dysfunction. J Cardiovasc Magn Reson 8(6): 781-787, 2006. doi:10.1080/10976640600737649
Nusser T, Höher M, Merkle N, Grebe O, Spiess J, Kestler HA, Rasche V, Kochs M, Hombach V, Wöhrle J. Cardiac Magnetic Resonance Imaging and Transesophageal Echocardiography in Patients With Transcatheter Closure of Patent Foramen Ovale. J Am Coll Cardiol 48(2): 322-329, 2006. https://doi.org/10.1016/j.jacc.2006.03.036
Rücker FG, Bullinger L, Schwaenen C, Lipka DB, Wessendorf S, Fröhling S, Bentz M, Miller S, Scholl C, Schlenk RF, Radlwimmer B, Kestler HA, Pollack JR, Lichter P, Döhner K, Döhner H. Disclosure of Candidate Genes in Acute Myeloid Leukemia With Complex Karyotypes Using Microarray-Based Molecular Characterization. J of Clinical Oncology 24(24): 3887- 3894, 2006. https://doi.org/10.1200/JCO.2005.04.5450
2005
Kestler HA, Müller A, Gress TM, Buchholz M. Generalized Venn Diagrams: A new method of visualizing complex genetic set relations. Bioinformatics 21(8): 1592-1595, 2005. https://doi.org/10.1093/bioinformatics/bti169
Buchholz M*, Kestler HA*, Bauer A, Böck W, Rau B, Leder G, Kratzer W, Bommer M, Scarpa A, Schilling MK, Adler G, Hoheisel JD, Gress TM. Specialized DNA arrays for the differentiation of pancreatic tumors. Clin Cancer Res 11(22): 8048-8054, 2005. *equal contribution. https://doi.org/10.1158/1078-0432.CCR-05-1274
Buchholz M, Braun M, Heidenblut A, Kestler HA, Klöppel G, Schmiegel W, Hahn SA, Lüttges J, Gress TM. Transcriptome analysis of microdissected pancreatic intraepithelial neoplasitc lesions. Oncogene 24(44): 6626-6636, 2005. https://doi.org/10.1038/sj.onc.1208804
Kempe S, Kestler HA, Lasar A, Wirth T. NF-kappaB controls the global pro-inflammatory response in endothelial cells: evidence for the regulation of a pro-atherogenic program. Nucleic Acids Res 33(16): 5308-5319, 2005. https://doi.org/10.1093/nar/gki836
Buchholz M*, Kestler HA*, Holzmann K, Ellenrieder V, Schneiderhan W, Siech M, Adler G, Bachem MG, Gress TM. Transcriptome analysis of human hepatic and pancreatic stellate cells: organ-specific variations of a common transcriptional phenotype. J Mol Med (Berl) 83(10): 795-805, 2005. *equal contribution. https://doi.org/10.1007/s00109-005-0680-2
Hombach V, Grebe O, Merkle N, Waldenmaier S, Hoher M, Kochs M, Wöhrle J, Kestler HA. Sequelae of acute myocardial infarction regarding cardiac structure and function and their prognostic significance as assessed by magnetic resonance imaging. Eur Heart J 26(6): 549-557, 2005. https://doi.org/10.1093/eurheartj/ehi147
Sträng, JE. On the characteristic exponents of Floquet solutions to the Mathieu equation. Acad Roy Belg Bull Cl Sci 16(6): 269-287, 2005.
Sträng, JE, Östborn, P. Wave patterns in frequency-entrained oscillator lattices. Phys Rev E Stat Nonlin Soft Matter Phys 72(5): 056137, 2005. https://doi.org/10.1103/PhysRevE.72.056137
Schuler, R. An algorithm for the satisfiability problem of formulas in conjunctive normal form. Algorithms 54(1): 40-44, 2005. https://doi.org/10.1016/j.jalgor.2004.04.012
2004
Mattfeldt T, Trijic D, Gottfried HW, Kestler HA. Classification of incidental carcinoma of the prostate using learning vector quantization and support vector machines. Cell Oncol 26: 45-55, 2004.
Mattfeldt T, Kestler HA, Sinn HP. Prediction of the axillary lymph node status in mammary cancer on the basis of clinicopathological data and flow cytometry. Med Biol Eng Comput 42: 733-739, 2004. https://doi.org/10.1007/bf02345205
Holzmann K, Kohlhammer H, Schwaenen C, Wessendorf S, Kestler HA, Schwoerer A, Rau B, Radlwimmer B, Döhner H, Lichter P, Gress T, Bentz M. Genomic DNA-chip hybridization reveals a higher incidence of genomic amplifications in pancreatic cancer than conventional comparative genomic hybridization and leads to the identification of novel candidate genes. Cancer Res 46(13): 4428-4433, 2004. https://doi.org/10.1158/0008-5472.CAN-04-0431
Kohlhammer H, Schwaenen C, Wessendorf S, Holzmann K, Kestler HA, Kienle D, Barth TF, Möller P, Ott G, Kalla J, Radlwimmer B, Pscherer A, Stilgenbauer S, Döhner H, Lichter P, Bentz M. Genomic DNA-chip hybridization in t(11;14)-positive mantle cell lymphomas shows a high frequency of aberrations and allows a refined characterization of consensus regions. Blood 104(3): 795-801, 2004. https://doi.org/10.1182/blood-2003-12-4175
Schwaenen C, Nessling M, Wessendorf S, Salvi T, Wrobel G, Radlwimmer B, Kestler HA, Haslinger C, Stilgenbauer S, Döhner H, Bentz M, Lichter P. Automated array-based genomic profiling in chronic lymphocytic leukemia: Development of a clinical tool and discovery of recurrent genomic alterations. Proc Natl Acad Sci U S A 101: 1039-1044, 2004. https://doi.org/10.1073/pnas.0304717101
Wöhrle J, Kochs M, Vollmer C, Kestler HA, Hombach V, Höher M. Re-angioplasty of in-stent restenosis versus balloon restenoses - a matched pair comparison. Int J Cardiol 93: 257-262, 2004. https://doi.org/10.1016/j.ijcard.2003.05.009
Mattfeldt T, Trijic D, Gottfried HW, Kestler HA. Incidental carcinoma of the prostate: clinico- pathological, stereological and immunohistochemical findings studied with logistic regression and self-organizing feature maps. BJU International93: 284-290, 2004. https://doi.org/10.1111/j.1464-410X.2004.04603.x
Fensterer H, Giehl K, Buchholz M, Ellenrieder V, Buck A, Kestler HA, Adler G, Gierschik P, Gress T. Expression Profiling of the Influence of RAS Mutants on the TGFB1-Induced Phenotype of the Pancreatic Cancer Cell Line PANC-1. Genes Chromosomes Cancer 39: 224-235, 2004. https://doi.org/10.1002/gcc.20000
2003
Mattfeldt T, Gottfried HW, Wolter H, Schmidt V, Kestler HA, Mayer J. Classification of Pro- static Carcinoma with Artificial Neural Networks Using Comparative Genomic Hybridization and Quantitative Stereological Data. Pathology Res Pract 199: 773-784, 2003. https://doi.org/10.1078/0344-0338-00496
Grebe O, Paetsch I, Kestler HA, Herkommer B, Schnackenburg B, Hombach V, Fleck E, Nagel E. Optimal acquisition parameters for contrast enhanced magnetic resonance imaging after chronic myocardial infarction. J Cardiovasc Magn Reson5: 575-587, 2003. https://doi.org/10.1081/jcmr-120025231
Wöhrle J, Nusser T, Hoffmeister A, Kestler HA, Grebe OC, Höher M, Koenig W, Hombach V, Kochs M. Einfluß von Molisdomin auf rheologische Parameter und das Auftreten kardiovaskulärer Ereignisse bei Patienten mit koronarer Herzkrankheit. Dtsch Med Wochenschr 128: 1333-1337, 2003. https://doi.org/10.1055/s-2003-39973
Schwenker F, Dietrich C, Kestler HA, Riede K, Palm G. Radial Basis Function Neural Networks and Temporal Fusion for the Classification of Bioacoustic Time Series. Neurocomputing 51: 265-275, 2003. https://doi.org/10.1016/S0925-2312(02)00621-5
2002
Aida, S, Schuler, R, Tsukiji, T, Watanabe, O. The Difference between Polynomial-Time Many-One and Truth-Table Reducibilities on Distributional Problems. Theory Comput Syst 35: 449-463, 2002. https://doi.org/10.1007/s00224-002-1025-y
Mattfeldt T, Wolter H, Trijic D, Gottfried HW, Kestler HA. Chromosomal regions in prostatic carcinomas studied by comparative genomic hybridization, hierarchical cluster analysis and self-organizing feature maps. Anal Cell Pathol 24: 167-179, 2002. https://doi.org/10.1155/2002/902831
2001
Mattfeldt T, Wolter H, Kemmerling R, Gottfried HW, Kestler HA. Cluster analysis of comparative genomic hybridization (CGH) data using self-organizing maps: Application to prostate carcinomas. Anal Cell Pathol 23(1): 29-37, 2001. https://doi.org/10.1155/2001/852674
Mattfeldt T, Kestler HA, Hautmann R, Gottfried HW. Prediction of Postoperative Prostatic Cancer Stage on the Basis of Systematic Biopsies using Two Types of Artificial Neural Networks. Eur Urol 39: 530-537, 2001. https://doi.org/10.1159/000052499
Schwenker F, Kestler HA, Palm G. Three learning phases for radial–basis–function networks. Neural Netw 14(4-5): 439-458, 2001. https://doi.org/10.1016/S0893-6080(01)00027-2
Hug H, Schuler R. Strategies for the development of a peptide computer. Bioinformatics 17(4): 364-368, 2001. https://doi.org/10.1093/bioinformatics/17.4.364
Kestler HA. ROC with confidence – a Perl program for receiver operator characteristic curves. Comput Methods Programs Biomed 64(2): 133-136, 2001. https://doi.org/10.1016/S0169-2607(00)00098-5
2000
Kestler HA, Wöhrle J, Höher M. Cardiac vulnerability assessment from electrical microvariability of the high-resolution electrocardiogram. Med Biol Eng Comput 38: 88-92, 2000. https://doi.org/10.1007/BF02344694
Kestler HA, Sablatnög S, Simon S, Enderle S, Baune A, Kraetzschmer GK, Schwenker F, Palm G. Concurrent Object Identification and Localization for a Mobile Robot. Künstliche Intelligenz 14(4): 23-29, 2000.
Haschka M, Kestler HA. Warum sind Pfützen elliptisch. Der mathematische und natur-wissenschaftliche Unterricht 53(4): 209-212, 2000.
Mattfeldt T, Gottfried HW, Schmidt V, Kestler HA. Classification of spatial textures in benign and cancerous glandular tissues by stereology and stochastic geometry using artificial neural networks. J Microsc 198: 143-158, 2000. https://doi.org/10.1111/j.1365-2818.2000.00689.x
Lindner W, Schuler R, Watanabe O. Resource-Bounded Measure and Learnability. Theory Comput Syst 33(2): 151-170, 2000. https://doi.org/10.1007/s002249910010
1999
Haschka M, Kestler HA. Squinting and stereoscopic vision. Phys. Educ 34(5): 316-320, 1999.
Mattfeldt T, Kestler HA, Hautmann R, Gottfried HW. Prediction of prostatic cancer progression after radical prostatectomy using artificial neural networks: a feasibility study. BJU Int 84: 316-323, 1999. https://doi.org/10.1046/j.1464-410x.1999.00209.x
Kestler HA, Schulé M, Schwenker F, Neumann H, Mattfeldt T. Neural Classification of Cytological Smears from the Cervix. Biomed Tech (Berl) 44: 17-24, 1999. https://doi.org/10.1515/bmte.1999.44.1-2.17 (in German)
Kestler HA, Haschka M. A Model for the Emergence of Cafe ́–au–Lait Macules. J Invest Dermatol 113: 858-859, 1999. https://doi.org/10.1046/j.1523-1747.1999.00764.x
1998
Kestler HA, Janko S, Häußler U, Muche R, Höher M, Hombach V, Wiecha J. A remark on the high-conductance calcium activated potassium channel in human endothelial cells. Res Exp Med 198(3): 133-143, 1998. https://doi.org/10.1007/s004330050097
1996
Schuler R, Yamakami T. Structural Average Case Complexity. J Comput Syst Sci 52(2): 308-327, 1996. https://doi.org/10.1007/3-540-56287-7_100
1995
Arvind V, Köbler J, Schöning U, Schuler R. If NP has polynomial-size circuits, then MA = AM. Theor Comput Sci 137(2): 279-282, 1995. https://doi.org/10.1016/0304-3975(95)91133-B
Arvind V, Köbler J, Schuler R. On Helping and Interactive Proof Systems. Int J Found Comput Sci 6(2): 137-153, 1995. https://doi.org/10.1142/S012905419500010X
1994
Kestler HA, Farschtschi AA, Wein PH. Untersuchung und Simulation Neuronaler Netze mit dynamischer Strukturänderung. Automatisierungstechnische Praxis 36(2): 47-51, 1994.
1991
Mundhenk M., Schuler R. Random languages for nonuniform complexity classes. J Complex 7(3): 296-310, 1991. https://doi.org/10.1016/0885-064X(91)90038-Y
Schwab JD*, Kühlwein SD*, Ikonomi N, Kühl M, Kestler HA. Concepts in Boolean Network Modeling - What Do They All Mean. Comput Struct Biotec 18: 571-581, 2020. *equal contribution. https://doi.org/10.1016/j.csbj.2020.03.001
Naldi A, Monteiro PT, Müssel C, Consortium for Logical Models and Tools, Kestler HA, Thieffry D, Xenarios I, Saez-Rodriguez J, Helikar T, Chaouiya C. Cooperative development of logical modelling standards and tools with CoLoMoTo. Bioinformatics 31(7): 1154-1159, 2015.
Liebau S, Mahaddalkar PU, Kestler HA, Illing A, Seufferlein T, Kleger A. A hierarchy in reprogramming capacity in different tissue microenvironments: What we know and what we need to know. Stem Cells Dev 22(5): 695-706, 2013.
Fuellen G, Dengjel J, Hoeflich A, Hoeijmakers J, Kestler HA, Kowald A, Priebe S, Rebholz-Schuhmann D, Schmeck B, Schmítz U, Stolzing A, Sühnel J, Wuttke D, Vera J. Systems Biology and Bioinformatics in Aging Research: A Workshop Report. Rejuvenation Res 15(6): 631-641, 2012.
Giehl K, Bachem M, Beil M, Böhm BO, Ellenrieder V, Fulda S, Gress TM, Holzmann K, Kestler HA, Kornmann M, Menke A, Möller P, Oswald F, Schmid RM, Schmidt V, Schirmbeck R, Seufferlein T, von Wichert G, Wagner M, Walther P, Wirth T, Adler G. Inflammation, Regeneration and Transformation in the Pancreas - Results of the Collaborative Research Center 518 (SFB 518) at the University of Ulm. Pancreas 40(4): 489-502, 2011.
Floßbach L, Kestler HA, Gress TM, Möller P, Barth TFE. Aktuelle Aspekte zur Pathogenese von extranodalen Marginalzonen B-Zell Lymphomen vom MALT-Typ und gastrointestinalen diffusen großzelligen B-Zell Lymphomen. Z Gastroenterol 48(8): 833-838, 2010.
Kestler HA, Wawra C, Kracher B, Kühl M. Network modelling of signal transduction: establishing the global view. BioEssays 30(11-12): 1110-1125, 2008.
Buchholz M, Kestler HA, Gress TM. Differential diagnosis of pancreatic tumors by molecular analysis of clinical specimens. Pancreatology 8(6): 551-557, 2008.
Kestler HA, Kühl M. From individual Wnt pathways towards a Wnt signalling network. Philos Trans R Soc Lond B Biol Sci 363: 1333-1347, 2008.
Kestler HA, Küfer R. Wertigkeit und Notwendigkeit bioinformatischer Methoden zur Mikroarray-Datenanalyse. Urologe A 43: 669-674, 2004.
Schwaenen C, Wessendorf S, Kestler HA, Döhner H, Lichter P, Bentz M. DNA microarray analysis in malignant lymphomas. Ann Hematol 82(6): 323-332, 2003.
Grebe O, Giesler M, Kestler HA, Hombach V, Höher M. Magnetic Resonance Imaging After Percutaneous Closure of a Patent Foramen Ovale. Circulation 104(22): e117-e118, 2001.
Kestler HA, Hombach V, Osterhues HH, Kochs M, Höher M. Non-invasive Risk Stratification in Patients after Myocardial Infarction – A Brief Review. Biocybern Biomed Eng 20(1): 67-79, 2000.
Schwab JD, Lutz M, Kestler HA. A First Glance on Coevolution of Boolean Networks to Simulate the Development of Interacting Systems in Molecular Biology. In Davino C, Palumbo F, Wilhelm AFX, Kestler HA (eds.), Recent Trends and Future Challenges in Learning from Data, Studies in Classification, Data Analysis, and Knowledge Organization, pp. 129-141. Springer, 2024. https://doi.org/10.1007/978-3-031-54468-2_12
Hotstegs CLO, Kestler HA, Kraus JM. Asynchronous and Synchronous–Asynchronous Particle Swarms. In Davino C, Palumbo F, Wilhelm AFX, Kestler HA (eds.), Recent Trends and Future Challenges in Learning from Data, Studies in Classification, Data Analysis, and Knowledge Organization, pp. 33-48. Springer, 2024. https://doi.org/10.1007/978-3-031-54468-2_4
Kaftan P, Heinrich MP, Hansen L, Rasche V, Kestler HA, Bigalke A. Abstracting Volumetric Medical Images with Sparse Keypoints for Efficient Geometric Segmentation of Lung Fissures with a Graph CNN. In Maier A, Deserno TM, Handels H, Maier-Hein K, Palm C, Tolxdorff T (eds.), Bildverarbeitung in der Medizin 2024 (BVM2024), Erlangen, pp. 60 - 65. Informatik aktuell, Springer, 2024. https://doi.org/10.1007/978-3-658-44037-4_19
Ricken TB, Bellmann P, Gruss S, Kestler HA, Walter S, Schwenker F. Pain Recognition Differences between Female and Male Subjects: An Analysis based on the Physiological Signals of the X-ITE Pain Database. 25th International Conference on Multimodal Interaction (ICMI 23), Paris, pp. 121-130. ACM, 2023. https://doi.org/10.1145/3610661.3617131
Hieber D, Prokop G, Karthan M, Holl F, Kestler HA, Grabow G, Märkl B, Pryss R, Liesche-Starnecker F, Schobel J. Towards an Architecture for Collecting a Multidimensional Glioblastoma Dataset. 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), L’Aquila, pp. 904-909. IEEE, 2023. https://doi.org/10.1109/CBMS58004.2023.00340
Karthan M, Romahn P, Pryss R, Kestler HA, Schobel J. Collecting Data from Senior Citizens Using Serious Games. In Mantas A, Gallos P, Zoulias E, Hasman A, Househ M, Diomidous M, Iaskos J, Charalampidou M (eds.), Advances in Informatics, Management and Technology in Healthcare, Studies in Health Technology and Informatics 295, pp. 234-237. IOS Press, 2022. https://doi.org/10.3233/shti220705
Bellmann P, Lausser L, Kestler HA, Schwenker F. Experimental Analysis of Bidirectional Pairwise Ordinal Classifier Cascades. In Torsello A, Rossi L, Pelillo M, Biggio B, Robles-Kelly A (eds.), Structural, Syntactic, and Statistical Pattern Recognition. S+SSPR 2021, LNCS 12644, pp 55-64. Springer, 2021. https://doi.org/10.1007/978-3-030-73973-7_6
Bellmann P, Lausser L, Kestler HA, Schwenker F. Introducing Bidirectional Ordinal Classifier Cascades Based on a Pain Intensity Recognition Scenario. In Del Bimbo A, Cucciara R, Sclaroff S, Farinella GM, Mei T, Bertini M, Escalante HJ, Vezzani R (eds), Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021, LNCS 12666, pp 773-787. Springer, 2021. https://doi.org/10.1007/978-3-030-68780-9_58
Thiam P, Kestler HA, Schwenker F. Multimodal Deep Denoising Convolutional Autoencoders for Pain Intensity Classification based on Physiological Signals. In De Marsico M, di Baja GS, Fred A (eds.), Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - Vol. 1: ICPRAM, pp. 289-296, SciTePress, 2020. https://doi.org/10.5220/0008896102890296
Bellmann P, Thiam P, Schwenker F. Pain Intensity Recognition - An Analysis of Short-Time Sequences in a Real-World Scenario. In De Marsico M, di Baja GS, Fred A (eds.), Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - Vol. 1: ICPRAM, pp. 149-161, SciTePress, 2020. https://doi.org/10.1007/978-3-030-58309-5_12
Lausser L, Szekely R, Kessler V, Schwenker F, Kestler HA. Selecting Features from Foreign Classes. In Pancioni L, Schwenker F, Trentin E, (eds.), Artificial Neural Networks in Pattern Recognition (ANNPR) 2018, LNCS 11081, pp. 66-77. Springer, 2018. https://doi.org/10.1007/978-3-319-99978-4_5
Lausser L, Just S, Rottbauer W, Kestler HA. Semantic Biomarker Selection for Functional Genomics of Heart Failure Model Organisms. Computing in Cardiology (CinC) 44, IEEE, 2017. https://doi.org/10.22489/cinc.2017.258-195
Völkel G, Maucher M, Müssel C, Schöning U, Kestler HA. Information Theoretic Measures for Ant Colony Optimization. In Wilhelm AFX, Kestler HA, (eds.), Analysis of Large and Complex Data, pp. 519-530. Springer International Publishing, 2016. https://doi.org/10.1007/978-3-319-25226-1_44
Schirra LR, Lausser L, Kestler HA. Selection Stability as a Means of Biomarker Discovery in Classification. In Wilhelm AFX, Kestler HA, (eds.), Analysis of Large and Complex Data, pp. 79-89. Springer International Publishing, 2016. https://doi.org/10.1007/978-3-319-25226-1_7
Schirra LR, Schmid F, Kestler HA, Lausser L. Interpretable Classifiers in Precision Medicine: Feature Selection and Multi-class Categorization. In Schwenker F, Abbas HM, El Gayar N, Trentin E, (eds.), Artificial Neural Networks in Pattern Recognition (ANNPR) 2016, LNCS 9896, pp. 105-116. Springer International Publishing, 2016. https://doi.org/10.1007/978-3-319-46182-3_9
Lattke R, Lausser L, Müssel C, Kestler HA. Detecting ordinal class structures. In Schwenker F, Roli F, Kittler J, (eds), Multiple Classifier Systems (MCS 2015), volume LNCS 9132, pp. 100-111. Springer, 2015. https://doi.org/10.1007/978-3-319-20248-8_9
Müssel C, Lausser L, Kestler HA. Ensembles of Representative Prototype Sets for Classification and Data Set Analysis. In Lausen B, Krolak-Schwerdt S, Böhmer M, (eds.), Data Science, Learning by Latent Struktures, and Knowledge Discovery, Studies in Classification, Data Analysis, and Knowledge Organization, pp 329-338. Springer 2015. https://doi.org/10.1007/978-3-662-44983-7_29
Schmid F*, Lausser L*, Kestler HA. Linear Contrast Classifiers in High-Dimensional Spaces. In El Gayar N, Schwenker F, Suen C, editors, Artificial Neural Networks in Pattern Recognition (ANNPR) 14, LNAI 8774, pp 141–152. Springer, 2014.*equal contribution https://doi.org/10.1007/978-3-319-11656-3_13
Lausser L, Schmid F, Kestler HA. Semantic multi-classifier systems for the analysis of gene expression profiles. In Proceedings of the GPSDAA 2013 Symposium in Dresden. Archives of Data Science 1(1), 2014.
Völkel G, Maucher M, Schöning U, Kestler HA. Ant Colony Optimization with Group Learning, Gecco'14: Proceedings of the 2014 Genetic and Evolutionary Computation Conference. ACM, 2014. https://doi.org/10.1145/2576768.2598214
Lausser, L. Robuste Klassifikationsverfahren für hochdimensionale Datensätze. In Hölldobler, S. et al., (eds.), Ausgezeichnete Informatikdissertationen 2013, pp. 111-121. Köllen Druck+Verlag GmbH, Bonn, 2014.
Schmid S, Lausser L, Kestler HA. Three Transductive Set Covering Machines. In Spiliopoulou M, Schmidt-Thieme L, Janning R. Data Analysis, Machine Learning and Knowledge Discovery, Studies in Classification, Data Analysis, and Knowledge Organization, pp. 303-311. Springer, 2014. https://doi.org/10.1007/978-3-319-01595-8_33
Burkovski A, Lausser L, Kraus J, Kestler HA. Rank aggregation for candidate gene selection. In Spiliopoulou M, Schmidt-Thieme L, Janning R. Data Analysis, Machine Learning and Knowledge Discovery, Studies in Classification, Data Analysis, and Knowledge Organization, pp. 285-293. Springer, 2014. https://doi.org/10.1007/978-3-319-01595-8_31
Lausser L, Kestler HA. Fold Change Classifiers for the Analysis of Gene Expression Profiles. In Gaul W, Geyer-Schulz A, Baba Y, Okada A, (eds.), German-Japanese Interchange of Data Analysis Results, pp. 193-202. Springer International Publishing, 2014. https://doi.org/10.1007/978-3-319-01264-3_17
Völkel G, Maucher M, Kestler HA. Group-Based Ant Colony Optimization, Gecco'13: Proceedings of the 2013 Genetic and Evolutionary Computation Conference, pp. 121-128. ACM, 2013. https://doi.org/10.1145/2463372.2463387
Lausser L, Müssel C, Kestler HA. Representative prototype sets for data characterization and classification. In Mana N, Schwenker F, Trentin E, (eds.), Artificial Neural Networks in Pattern Recognition (ANNPR12), LNCS 7477, pp. 36-47. Springer, Heidelberg, 2012. https://doi.org/10.1007/978-3-642-33212-8_4
Schnattinger T, Schöning U, Kestler HA, Pareto-optimal RNA sequence-structure alignments, In 9th International Workshop on Computational Systems Biology (WSCB), 2012. best paper award
Völkel G, Kraus J, Kestler HA. Algorithm Engineering with Clojure. In Proceedings of the 5th European Lisp Symposium. Zadar, Croatia, 2012.
Lausser L, Schmid F, Kestler HA. On the Utility of Partially Labeled Data for Classification of Microarray Data. In Schwenker F, Trentin E, (eds.), Partially Supervised Learning, vol. LNCS 7081, pp. 96-109. Springer, 2012. https://doi.org/10.1007/978-3-642-28258-4_11
Lausser L, Müssel C, Maucher M, Kestler HA. Feature Reduction and Nearest Neighbours. In Gaul W, Geyer-Schulz A, Schmidt-Thieme L, Kunze J, (eds.), Challenges at the Interface of Data Analysis, Computer Science, and Optimization, Studies in Classification, Data Analysis, and Knowledge Organization, pp. 363-370. Springer, 2012. https://doi.org/10.1007/978-3-642-24466-7_37
Hopfensitz M, Maucher M, Kestler HA. Fuzzy Boolean network reconstruction. In Gaul W, Geyer-Schulz A, Schmidt-Thieme L, Kunze J, (eds.), Challenges at the Interface of Data Analysis, Computer Science, and Optimization, Studies in Classification, Data Analysis, and Knowledge Organization, pp. 263-270. Springer, 2012. https://doi.org/10.1007/978-3-642-24466-7_27
Lausser L, Kestler HA. Robustness analysis of eleven linear classifiers in extremely high-dimensional feature spaces. In Schwenker F, El Gayar N, (eds.), Artificial Neural Networks in Pattern Recognition (ANNPR 2010), LNCS 5998, pp. 72-83. Springer-Verlag, Heidelberg, 2010. https://doi.org/10.1007/978-3-642-12159-3_7
Kraus JM, Kestler HA. Multi-core Parallelization in Clojure – a Case Study. In ELW ’09: Proceedings of the 6th European Lisp Workshop, pp. 8-17. ACM, 2009. https://doi.org/10.1145/1562868.1562870
Lausser L, Buchholz M, Kestler HA. Boosting Threshold Classifiers for High-Dimensional Data in Functional Genomics. In Prevost L, Marinai S, Schwenker F, (eds.), Artificial Neural Networks in Pattern Recognition (ANNPR 2008), LNAI 5064, pp. 147-156. Springer, Heidelberg, 2008. https://doi.org/10.1007/978-3-540-69939-2_15
Lausser, L, Schwenker, F, Palm, G. Detecting zebra crossings utilizing AdaBoost. In Verleysen M, (ed.), Proceedings of the 16th European Symposium on Artificial Neural Networks, ESANN, pp. 535-540. 2008.
Kestler HA, Kraus J, Höher M, Hombach V, Wöhrle J. Prognostic Significance of Electrocardiogram and Cine Magnetic Resonance Imaging Parameters in Patients with Idiopathic Dilated Cardiomyopathy. Computers in Cardiology (CinC) 34: 77-80. IEEE, 2007. https://doi.org/10.1109/CIC.2007.4745425
Mueller A, Neitmann A, Kunze M, Merkle N, Höher M, Hombach V, Wöhrle J, Neumann H, Kestler HA. Integrating Model Based and Data Driven Approaches for the Automatic Segmentation of Cardiac Short-Axis Cine MRI Recordings. Computers in Cardiology (CinC) 33: 73-76. IEEE, 2006.
Guttmann, W, Maucher, M. Variations on an Ordering Theme with Constraints. In Navarro, G, Bertossi, L, Kohayakawa, Y, (eds.) 4th IFIP International Conference on Theoretical Computer Science, TCS 2006, pp. 77-90. Springer, 2006. https://doi.org/10.1007/978-0-387-34735-6_10
Kestler HA, Müssel C. An empirical comparison of feature reduction methods in the context of microarray data classification. In Schwenker F, Marinai S, (eds.), Artificial Neural Networks in Pattern Recognition (ANNPR 2006), LNAI 4087, pp. 260-273. Springer, Heidelberg, 2006. https://doi.org/10.1007/11829898_24
Kestler HA, Kraus J, Palm G, Schwenker F. On the effects of constraints in semi-supervised hierarchical clustering. In Schwenker F, Marinai S, (eds.), Artificial Neural Networks in Pattern Recognition (ANNPR 2006), LNAI 4087, pp. 57-66. Springer, Heidelberg, 2006. https://doi.org/10.1007/11829898_6
Kestler HA, Lindner W, Müller A. Learning and feature selection using the set covering machine with data-dependent rays on gene expression profiles. In Schwenker F, Marinai S ,(eds.), Artificial Neural Networks in Pattern Recognition (ANNPR 2006), LNAI 4087, pp. 286-297. Springer, Heidelberg, 2006. https://doi.org/10.1007/11829898_26
Schwenker F, Sachs A, Palm G, Kestler HA. Orientation Histograms for Face Recognition. In Schwenker F, Marinai S, (eds.), Artificial Neural Networks in Pattern Recognition (ANNPR 2006), LNAI 4087, pp. 253-259. Springer, Heidelberg, 2006. https://doi.org/10.1007/11829898_23
Kestler HA, Müller A, Buchholz M, Gress T, Palm G. A perceptually optimized scheme for visualizing gene expression ratios with confidence values. In André E, Dybkjær L, Minker W, Neumann H, Weber M, (eds.), Perception and Interactive Technologies (PIT 2006), LNAI 4021, pp. 73-84. Springer, Heidelberg, 2006. https://doi.org/10.1007/11768029_8
Mueller A, Neitmann A, Merkle N, Woehrle J, Hombach V, Kestler HA. Contour Detection of Short Axis Slice MR Images for Contraction Irregularity Assessment. Computers in Cardiology (CinC) 32: 21-24. IEEE, 2005. https://doi.org/10.1109/CIC.2005.1588023
List, B, Maucher, M, Schöning, U, Schuler, R. Randomized Quicksort and the Entropy of the Random Source. In Wang, L, (ed.) Computing and Combinatorics: 11th Annual International Conference, COCOON, LNCS 3595, pp. 450-460. Springer, Heidelberg, 2005. https://doi.org/10.1007/11533719_46
Mueller A, Merkle N, Hombach V, Grebe O, Nusser T, Woehrle J, Binner L, Kestler HA. Extracting Robust Features from Cardiac Magnetic Resonance Image Contours for Detecting Dilated Cardiomyopathy. Computers in Cardiology (CinC) 31: 157-160. IEEE, 2004. https://doi.org/10.1109/CIC.2004.1442895
Baumer, S, Schuler, R. Improving a Probabilistic 3-SAT Algorithm by Dynamic Search and Independent Clause Pairs. In Giunchiglia, E, Tacchella, A, (eds.), Theory and Applications of Satisfiability Testing: 6th International Conference, SAT 2003, LNCS 2919, pp. 150-161. Springer, Heidelberg, 2004. https://doi.org/10.1007/978-3-540-24605-3_12
El-Messiry H, Kestler HA, Grebe O, Neumann H. Morphological Scale-Space Decomposition for Segmenting the Ventricular Structure in Cardiac MR Images. In Wittenberg T, Hastreiter P, Hoppe U, Handels H, Horsch A, Meinzer HP, (eds.), Bildverarbeitung für die Medizin 2003, Informatik aktuell, pp. 181-185. Springer Verlag, Berlin, 2003. https://doi.org/10.1007/978-3-642-18993-7_37
Arvind, V, Schuler, R. The Quantum Query Complexity of 0-1 Knapsack and Associated Claw Problems. In Ibaraki, T, Katoh, N, Ono, H, (eds.) Algorithms and Computation: 14th International Symposium, ISAAC 2003, LNCS 2906, pp.168-177. Springer-Verlag, Heidelberg, 2003. https://doi.org/10.1007/978-3-540-24587-2_19
El-Messiry H, Kestler HA, Grebe O, Neumann H. Segmenting the Endocardial Border of the Left Ventricle in Cardiac Magnetic Resonance Images. Computers in Cardiology (CinC) 30: 625-628. IEEE, 2003. https://doi.org/10.1109/CIC.2003.1291233
Grebe O, Mueller A, Merkle N, Wöhrle J, Binner L, Hombach V, Neumann H, Kestler HA. Estimation of Intra- and Inter-ventricular Dyssynchronization with Cardiac Magnetic Resonance Imaging. Computers in Cardiology (CinC) 30: 741-743. IEEE, 2003. https://doi.org/10.1109/CIC.2003.1291262
Kestler HA, Höher M. Prognostic Value of Intra-QRS and ST-T Micro-Variability – A 2 Year Follow-up. Computers in Cardiology (CinC) 30: 89-92. IEEE, 2003. https://doi.org/10.1109/CIC.2003.1291097
Hollas, B, Schuler, R. A Stochastic Approach to Count RNA Molecules Using DNA Sequencing Methods. In Benson, G, Page, RDM, (eds.) Algorithms in Bioinformatics, WABI 2003, LNCS 2812, pp. 55-62. Springer, Heidelberg, 2003. ttps://doi.org/10.1007/978-3-540-39763-2_5
Schwenker F, Kestler HA. Analysis of support vectors helps to identify borderline patients in classification studies. Computers in Cardiology (CinC) 29: 305-308. IEEE, 2002. https://doi.org/10.1109/CIC.2002.1166769
Kestler HA, Müller A, Hombach V, Wöhrle J, Grebe O, Palm G, Höher M, Schwenker F. Decision fusion of micro-variability and signal-averaged ECG parameters from the QRS complex with RBF networks. Computers in Cardiology (CinC) 29: 297-300. IEEE, 2002. https://doi.org/10.1109/CIC.2002.1166767
Grebe O, Lehn M, Neumann H, Schwenker F, Wöhrle J, Höher M, Hombach V, Kestler HA. Parameters for characterizing diastolic function with cardiac magnetic resonance imaging. Computers in Cardiology (CinC) 29: 185-188. IEEE, 2002. https://doi.org/10.1109/CIC.2002.1166738
Aida, S, Schuler, R, Tsukiji, T, Watanabe, O. On the Difference between Polynomial-Time Many-One and Truth-Table Reducibilities on Distributional Problems. In Ferreira A, Reichel H, (eds), STACS 2001, LNCS 2010, pp. 51-62. Springer, Berlin, Heidelberg, 2002. https://doi.org/10.1007/3-540-44693-1_5
Simon S, Schwenker F, Kestler HA, Kraetzschmar G, Palm G. Hierarchical Object Classification for Autonomous Mobile Robots. In Dorronsoro JR, (ed.), Artificial Neural Networks – ICANN 2002, LNCS 2415, pp. 831-836. Springer, Berlin, 2002. https://doi.org/10.1007/3-540-46084-5_135
Hug, H, Schuler, R. DNA-based Parallel Computation of Simple Arithmetic. In Jonoska, N, Seeman, N, (eds.) DNA Computing: 7th International Workshop on DNA-Based Computers, LNCS 2340, pp. 321-328. Springer, Heidelberg, 2002. https://doi.org/10.1007/3-540-48017-X_30
Wichert A, Kestler HA, Walter H, Grön G, Baune A, Grothe J, Wunderlich A, Sommer FT. Explorative detection of delay activity during a working memory task. In Papadourakis G (ed.), Neural Networks and Expert Systems in Medicine and Healthcare, pp. 266-271. Technological Educational Institute of Crete, 2001.
Kestler HA, Höher M, Palm G. Evolutionary Optimization of a Wavelet Classifier for the Categorization of Beat-to-Beat Variability Signals. In Kurkova V, Neruda R, Karny M, Stelle N.C., (eds.), Artificial Neural Nets and Genetic Algorithms, pp. 280-283. Springer, Wien, 2001. https://doi.org/10.1007/978-3-7091-6230-9_69
Schwenker F, Kestler HA, Simon S, Palm G. 3D Object Recognition for Autonomous Mobile Robots Utilizing Support Vector Classifiers. In Proceedings of the 2001 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2001, pp. 344-349. IEEE, 2001. https://doi.org/10.1109/CIRA.2001.1013223
Kestler HA, Schwenker F, Wöhrle J, Hombach V, Palm G, Höher M. Combined Assessment of Beat-to-Beat Micro-Variability and Signal-Averaged ECG Parameters. Computers in Cardiology (CinC) 28: 73-76. IEEE, 2001. https://doi.org/10.1109/CIC.2001.977594
Grebe O, Höher M, Schwenker F, Neumann H, Wöhrle J, Palm G, Hombach V, Kestler HA. New Markers for Diastolic Function by Cardiac Magnetic Resonance Imaging. Computers in Cardiology (CinC) 28: 625-628. IEEE, 2001. https://doi.org/10.1109/CIC.2001.977733
Simon S, Vogt F, Kestler HA, Schwenker F, Palm G. Aufmerksamkeitssteuerung für die Objektklassifikation auf einem autonomen mobilen Roboter. In Baratoff G, Neumann H, (eds.), Dynamische Perzeption, Proceedings in Artificial Intelligence, pp. 195-198. Akademische Verlagsgesellschaft, Berlin, 2000.
Schwenker F, Kestler HA, Palm G. An Algorithm for Adaptive Clustering and Visualization of Highdimensional Data Sets. In Della Riccia G, Kruse R, Lenz HJ, (eds.), Computational Intelligence in Data Mining, CISM 408, pp. 127-140. Springer, Wien, 2000. https://doi.org/10.1007/978-3-7091-2588-5_7
Schwenker F, Kestler HA, Palm G. Combination of Supervised and Unsupervised Learning for Radial–Basis–Function Networks. In Bothe HH, Rojas R, (eds.), Second International ICSC Symposium on Neural Computation (NC’2000), pp. 22-28. ICSC Academic Press, Canada, 2000.
Schwenker F, Kestler HA, Palm G. Radial–Basis–Function Networks: Learning and Applications. In Howlett R, Jain L, (eds.), Fourth International Conference on Knowledge–Based Intelligent Engineering Systems & Allied Technologies (KES'2000), Proceedings, pp. 33-43. IEEE, Piscataway, 2000. https://doi.org/10.1109/KES.2000.885756
Höher M, Wöhrle J, Scharf B, Thamasett S, Stiller S, Bauer S, Kestler HA. Heart-Rate Dependency of QRS-Microvariability During Atrial Pacing. Computers in Cardiology (CinC) 27: 727-730. IEEE, 2000. https://doi.org/10.1109/CIC.2000.898627
Kestler HA, Haschka M, Müller A, Schwenker F, Palm G, Höher M. Evolutionary Optimization of a Wavelet Classifier for the Categorization of Beat-to-Beat Variability Signals. Computers in Cardiology (CinC) 27: 715-718. IEEE, 2000. https://doi.org/110.1109/CIC.2000.898624
Höher M, Müller A, Reinshagen M, Bauer S, Kestler HA. A stepwise approach towards a hospital-wide electronic patient record archiving system. Computers in Cardiology 27, pp. 287-290. IEEE, 2000. https://doi.org/10.1109/CIC.2000.898513
Schwenker F, Kestler HA. Decision Trees for the Analysis and Classification of Signal Averaged High-Resolution ECGs. Biomed. Technik, 45(Suppl. 2): 191-194, 2000.
Kestler HA, Palm G. A simple evolutionary wavelet classifier for the categorization of beat-to- beat variability signals. Biomed. Technik, 45(Suppl. 2): 30-35, 2000.
Baune A, Simon S, Kestler HA, Schwenker F, Palm G. Schritthaltende Objektklassifikation für einen autonomen mobilen Roboter. In Schmidt G, Hanebeck U, Freyberger F, (eds.), Autonome Mobile Systeme 1999, Informatik aktuell, pp. 254-261. Springer-Verlag, Berlin, 1999. https://doi.org/10.1007/978-3-642-59708-4_26
Höher M, Brummer T, Kestler HA. Concept and Initial Experience with a Mid-term DICOM Archiving System Acting as an Intelligent Buffer to Clinical Requests. Computers in Cardiology 26, pp. 319-322. IEEE, 1999. https://doi.org/10.1109/CIC.1999.825971
Simon S, Kestler HA, Baune A, Schwenker F, Palm G. Object classification with simple visual attention and a hierarchical neural network for subsymbolic–symbolic coupling. In Proceedings of the 1999 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA ’99, pp. 244-249. IEEE, 1999. https://doi.org/10.1109/CIRA.1999.810056
Schuler, R. Universal Distributions and Time-Bounded Kolmogorov Complexity . In Meinel, C, Tison, S, (eds.), STACS 99: 16th Annual Symposium on Theoretical Aspects of Computer Science Trier, LNCS 1563, pp. 434-443. Springer-Verlag, Heidelberg, 1999. https://doi.org/10.1007/3-540-49116-3_41
Kestler HA, Simon S, Baune A, Schwenker F, Palm G. Object Classification Using Simple, Colour Based Visual Attention and a Hierarchical Neural Network for Neuro–Symbolic Integration. In Burgard W, Christaller T, Cremers AB, (eds.), KI–99 Advances in Artificial Intelligence, LNCS 1701, pp. 267-279. Springer-Verlag, Berlin,1999. https://doi.org/10.1007/3-540-48238-5_22
Kestler HA, Simon S, Baune A, Hagenbuchner M, Schwenker F, Palm G. A Hierarchical Neural Object Classifier for Subsymbolic–Symbolic Coupling. In Förster W, Buhmann JM, Faber A, Faber P, (eds.), Mustererkennung 1999, Informatik aktuell, pp. 27-35. Springer Verlag, Berlin, 1999. https://doi.org/10.1007/978-3-642-60243-6_3
Kestler HA, Schwenker F, Hafner G, Hombach V, Palm G, Höher M. Feasibility Study of Complete Neural Net Based Classification of Signal–Averaged High–Resolution ECGs. Computers in Cardiology, 26: 575-578. IEEE, 1999. https://doi.org/10.1109/CIC.1999.826036
Kestler HA, Haschka M, Kratz W, Schwenker F, Palm G, Hombach V, Höher M. De-noising of High-resolution ECG Signals by Combining the Discrete Wavelet Transform with the Wiener Filter. In Murray A, Swiryn S, (eds.), Computers in Cardiology, pp. 233-236. IEEE, 1998.
Wichert A, Kestler HA. A categorical based reanimation expert system. In Ifeachor E, Sperduti A, Starita A, (eds.), Neural Networks and Expert Systems in Medicine and Healthcare, Proceedings of the Third International Conference, pp. 187-193. World Scientific, 1998.
Höher M, Ritscher DE, Bauer S, Kodler M, Kestler HA, Hombach V. Beat-to-Beat Variability of QRS Duration: Initial Results from a Large ECG Database with Prospective Follow-up. In Murray A, Swiryn S, (eds.), IEEE Computers in Cardiology, pp. 613-616. IEEE Computer Society, 1997.
Kestler HA, Strey H, Dickhaus H, Palm G, Hombach V, Höher M. Diskrete Waveletanalyse des signalgemittelten, hochauflösenden Elektrokardiogramms. In Muche R, Büchele G, Harder D, Gaus W, (eds.), Medizinische Informatik, Biometrie und Epidemiologie - GMDS 97, 96-101. MMV Medizin Verlag, München, 1997.
Kestler HA, Schwenker F, Palm G, Hombach V, Höher M. Neuronale Netze zur Visualisierung und Klassifikation - Anwendung auf hochverstärkte EKG Signale. In Muche R, Büchele G, Harder D, Gaus W, (eds.), Medizinische Informatik, Biometrie und Epidemiologie - GMDS 97, pp. 90-95. MMV Medizin Verlag, München, 1997.
Schuler, R. A note on universal distributions for polynomial-time computable distributions. in Computational Complexity. Proceedings., Twelfth Annual IEEE Conference on (Formerly: Structure in Complexity Theory Conference), pp. 69-73, 1997.
Kestler HA, Strey H, Dickhaus H, Palm G, Hombach V, Höher M. Discrete Wavelet Analysis of the Signal-Averaged High-Resolution Electrocardiogram. In Murray A, Swiryn S, (eds.), IEEE Computers in Cardiology, pp. 621-624. IEEE Computer Society, 1997.
Kestler HA, Höher M, Palm G, Kochs M, Hombach V. Time Domain Variability of High Re- solution Beat-to-Beat Recordings Classified by Neural Networks. In Murray A, Arzbaecher R,(eds.), IEEE Computers in Cardiology, pp. 317-320. IEEE Computer Society, 1996.
Kestler HA, Höher M, Schwenker F, Hombach V. Filtering Beat-to-Beat Recordings of the High Resolution Electrocardiogram. In Murray A, Arzbaecher R, (eds.), IEEE Computers in Cardiology, pp. 461-464. IEEE Computer Society, 1996.
Schwenker F, Kestler HA, Palm G. Visualization and Analysis of Signal Averaged High Resolu- tion Electrocardiograms Employing Cluster Analysis and Multidimensional Scaling. In Murray A, Arzbaecher R, (eds.), IEEE Computers in Cardiology, pp. 453-456. IEEE Computer Society, 1996.
Schuler, R. Truth-table closure and Turing closure of average polynomial time have different measures in EXP. In Eleventh Annual IEEE Conference on Computational Complexity, pp. 190-195, 1996.
Höher M, Kestler HA, Bauer S, Weismüller P, Palm G, Hombach V. Neural Network Based Analysis of the Signal Averaged Electrocardiogram. In Murray A, Arzbaecher R, (eds.), IEEE Computers in Cardiology, pp. 257-260. IEEE Computer Society, 1995.
Kestler HA, Schwenker F, Höher M. Combining Supervised Competitive Learning and Gradient Descent Learning to Classify Signal-Averaged High-Resolution Electrograms. In Murray A, Arzbaecher R, (eds.), IEEE Computers in Cardiology, pp. 381-384. IEEE Computer Society, 1995.
Schuler, R., Watanabe, O. Towards average-case complexity analysis of NP optimization problems. In Structure in Complexity Theory Conference, Proceedings of Tenth Annual IEEE, pp. 148-159, 1995.
Kestler HA, Schwenker F, Höher M, Palm G. Adaptive Class-Specific Partitioning as a Means of Initializing RBF-Networks. In Proceedings of the International Conference on Systems, Man, and Cybernetics, pp. 46-49. IEEE, 1995.
Schuler, R. Average polynomial time is hard for exponential time under sn-reductions. In Thiagarajan, PS (ed.), Foundations of Software Technology and Theoretical Computer Science: 15th Conference, pp. 240-247. Springer-Verlag, Heidelberg, 1995.
Schuler, R, Yamakami, T. Sets computable in polynomial time on average. In Du, DZ, Li, M,(eds.), Computing and Combinatorics: First Annual International Conference, COCOON, pp. 400-409. Springer-Verlag, Heidelberg, 1995.
Schwenker F, Kestler HA, Höher M, Palm G. Klassifikation hochverstärkter EKG Signale durch RBF Netzwerke. In Sagerer G, Posch S, Kummert F, (eds.), Mustererkennung 1995, pp. 387-394. Springer Verlag, 1995.
Karg, C, Schuler, R. Structure in average case complexity. In Staples, J, Eades, P, Katoh, N, Moffat, A, (eds.), Algorithms and Computations: 6th International Symposium, ISAAC ’95 Cairns, pp. 62-71. Springer-Verlag, Heidelberg, 1995.
Schwenker F, Kestler HA, Palm G. A Comparison of LVQ and RBF Networks for Classification and Data Clustering. In Proceedings of the 6th Microcomputer School, pp. 646-651. Brno, 1994.
Schwenker F, Kestler HA, Palm G, Höher M. Similarities of LVQ and RBF Learning - A survey of learning rules and the application to the the classification of signals from high-resolution electrocardiography. In Proceedings of the International Conference on Systems, Man, and Cybernetics, pp. 646-651. IEEE, 1994.
Arvind, V., Köbler, J., Schuler, R. On helping and interactive proof systems. In Du, DZ, Zhang, XS, (eds.) Algorithms and Computation: 5th International Symposium, ISAAC ’94, pp. 137-145. Springer-Verlag, Heidelberg, 1994.
Schuler, R, Yamakami, T. Structural average case complexity. In Shyamasundar, R (ed.) Foundations of Software Technology and Theoretical Computer Science: 12th Conference, pp. 128-139. Springer-Verlag, Heidelberg, 1992.
Ikonomi N, Werle SD, Schwab JD, Kestler HA. Discrete Logic Modeling of Cell Signaling Pathways. In Zi Z, Liu X (eds.), TGF-Beta Signaling, Methods in Molecular Biology 2488, chap. 12, pp. 159-181, Humana, 2022.
Schöning U, Schnattinger T, Kestler HA, Stoll B, Marchfelder A. RNA Structures as Processing Signals. In Bossert M (ed.), Information- and Communication Theory in Molecular Biology, pp 367-374. Springer, 2018.
Dünkler A, Rösler R, Kestler HA, Moreno-Andrés D, Johnsson N. SPLIFF: A Single-Cell Method to Map Protein-Protein Interactions in Time and Space. In Anup K. Singh and Aarthi Chandrasekaran, (eds.), Single Cell Protein Analysis: Methods and Protocols, Methods in Molecular Biology, vol. 1346, chap. 11, pp 151-168. Humana Press, 2015.
Kühl M, Kracher B, Groß A, Kestler HA. Mathematical models of Wnt signaling pathways, In Moon R, Hoppler S, (eds), Wnt signaling in Development and Disease: Molecular Mechanisms and Biological Functions. chap 11. pp. 153-160. Wiley, Weinheim, 2014.
List, B, Maucher, M, Schöning, U, Schuler, R. QuickSort from an information-theoretic view. In Arendt, W., Schleich, WP, (eds.), Mathematical analysis of evolution, information, and complexity. Chap.17, pp. 455-464. Wiley-VCH, Weinheim, 2009.
Lausser L, Schwenker F, Kestler HA. Boosting ensembles of weak classifiers in high dimensional input spaces. In Arendt W, Schleich WP, (eds.), Mathematical Analysis of Evolution, Information, and Complexity. Chap. 11, pp. 311-332. Wiley-VCH, Weinheim, 2009.
Kraus JM, Palm G, Schwenker F, Kestler HA. Semi-supervised clustering in functional genomics. In Arendt W, Schleich WP, (eds.), Mathematical Analysis of Evolution, Information, and Complexity. Chap. 9, pp. 243-272. Wiley-VCH, Weinheim, 2009.
Wawra C, Kühl M, Kestler HA. Boolean networks for modelling gene regulation. In Arendt W, Schleich WP, (eds.), Mathematical Analysis of Evolution, Information, and Complexity, Chap. 5, pp 157-180. Wiley-VCH, Weinheim, 2009.
Balser, W., Röscheisen, C., Steiner, F., Sträng, J. E. Solutions of systems of linear ordinary differential equations. In Arendt, W, Schleich, WP, (eds.), Mathematical Analysis of Evolution, Information, and Complexity, Chap. 2, pp. 73-95. Wiley-Verlag, Weinheim, 2009.
Buchholz M, Kestler HA, Bauer A, Hoheisel JD, Gress TM. Development of diagnostic arrays for the differential diagnosis of a pancreatic mass. In Gress TM, Neoptolemos J, Lemoine NR, Real FX, (eds.), Exocrine pancreas cancer, pp. 394-401. Solvay Pharmaceuticals, 2005.
Kestler HA, Schuler R, Müller A, Buchholz M, Schwenker F, Palm G, Gress TM. Bioinformatic methods for microarray data analysis in pancreatic cancer. In Gress TM, Neoptolemos J, Lemoine NR, Real FX, (eds.), Exocrine pancreas cancer, pp. 228-241. Solvay Pharmaceuticals, 2005.
Schwenker F, Kestler HA, Palm G. Unsupervised and Supervised Learning in Radial-Basis- Function Networks. In Seiffert U, Jain L, (eds.), Self-Organizing Neural Networks. Chap. 10, pp. 217-243. Physica-Verlag, Heidelberg, 2002.
Schwenker F, Kestler HA, Palm G. Algorithms for the Visualization of Large and Multivariate Data Sets. In Seiffert U, Jain L, (eds.), Self-Organizing Neural Networks. Chap. 8, pp. 165-183. Physica-Verlag, Heidelberg, 2002.
Mattfeldt T, Gottfried HW, Burger M, Kestler HA. Classification of Prostatic Cancer Using Artificial Neural Networks. In Losa GA, Merlini D, Nonnenmacher TF, Weibel ER, (eds.), Fractals in Biology and Medicine, Volume III, pp. 101-111. Birkhäuser, Basel, 2002.
Hombach V, Osterhues HH, Schleß B, Kochs M, Kestler HA, Höher M. QT Dispersion: Definition, Methodology, and Clinical Relevance. In Oto A, Breithardt G, (eds.), Myocardial Repolarization: From Gene to Bedside. Chap. 10, pp. 187-209. Futura Publishing Co., Armonk, 2001.
Schwenker F, Kestler HA. 3-D Visual Object Classification with Hierarchical Radial Basis Function Networks. In Howlett R, Jain L, (eds.), Radial Basis Function Networks 2. Chap. 8, pp. 269-293. Physica-Verlag, Heidelberg, 2001.
Kestler HA, Schwenker F. RBF Network Classification of ECGs as a Potential Marker for Sudden Cardiac Death. In Howlett R, Jain L, (eds.), Radial Basis Function Networks 2. Chap. 6, pp. 167-214. Physica-Verlag, Heidelberg, 2001.
Höher M, Bauer S, Kestler HA. Detection of QRS-Variability. In Osterhues HH, Hombach V, Moss AJ, (eds.), Advances in Noninvasive Electrocardiographic Monitoring Techniques, chap. 10, pp. 109-119. Kluwer Academic Publishers, Dordrecht, 2000.
Kestler HA, Schwenker F, Palm G, Wöhrle J, Höher M. Neural Classification in High-Resolution ECG Signal Processing. In Osterhues HH, Hombach V, Moss AJ, (eds.), Advances in Noninvasive Electrocardiographic Monitoring Techniques. Chap. 43, pp. 441-452. Kluwer Academic Publishers, Dordrecht, 2000.
Kestler HA. Lexikon der Neurowissenschaft. Spektrum Akademischer Verlag, Heidelberg, 2000. Coauthor.
Hombach V, Kestler HA, Osterhues HH, Scharf B, Kochs M, Höher M. A Modern Approach to Risk Stratification in Patients with Structural Heart Disease. In Katila T, Maniewski R, (eds.), Lecture Notes of the ICB Seminars 38: High–resolution Electro- and Magnetocardiography, pp. 126-136. Polish Academy of Sciences, Warsaw, 1998.
Kestler HA. Wörterbuch der Kognitionswissenschaft. Klett-Cotta, Stuttgart, 1995. Coauthor.
Schwenker F, He J, Kestler HA, Littman E, Schieszl S, Palm G. Anwendungen neuronaler Netze. In Bol G, Nakhaeizadeh G, Vollmer KH, (eds.), Finanzmarktanalyse und -prognose mit innovativen quantitativen Verfahren, pp. 35-70. Physica-Verlag, Heidelberg, 1996.
Kestler HA, Kraus JM (eds.). Statistical Computing 2024 - Abstracts der 54. Arbeitstagung, Berichte des Instituts für Medizinische Systembiologie 2024-01, Ulm University, Germany, 2024.
Vichi M, Cerioli A, Kestler HA, Okada A, Weihs C. Editorial for ADAC issue 2 of volume 18, Adv Data Anal Classif 18(2): 245-249, 2024. https://doi.org/10.1007/s11634-024-00597-3
Vichi M, Cerioli A, Kestler HA, Okada A, Weihs C. Editorial for ADAC issue 4 of volume 17, Adv Data Anal Classif 17(4): 545-548, 2023. https://doi.org/10.1007/s11634-023-00564-4
Vichi M, Cerioli A, Kestler HA, Okada A, Weihs C. Editorial for ADAC issue 3 of volume 17, Adv Data Anal Classif 17(3): 545-548, 2023. https://doi.org/10.1007/s11634-023-00554-6
Kestler HA, Kraus JM (eds.). Statistical Computing 2023 - Abstracts der 53. Arbeitstagung, Berichte des Instituts für Medizinische Systembiologie 2023-01, Ulm University, Germany, 2023. http://dx.doi.org/10.18725/OPARU-50109
Vichi M, Cerioli A, Kestler HA, Okada A, Weihs C. Editorial for ADAC issue 2 of volume 17, Adv Data Anal Classif 17(2): 287-290, 2023. https://doi.org/10.1007/s11634-023-00544-8
Vichi M, Cerioli A, Kestler HA, Okada A, Weihs C. Editorial for ADAC issue 1 of volume 17, Adv Data Anal Classif 17(1): 1-4, 2023. https://doi.org/10.1007/s11634-023-00535-9
Vichi M, Cerioli A, Kestler HA, Okada A, Weihs C. Editorial for ADAC issue 4 of volume 16 Adv Data Anal Classif 16(4): 817-821, 2022. https://doi.org/10.1007/s11634-022-00525-3
Weidner FM, Schwab JD, Werle SD, Ikonomi N, Lausser L, Kestler HA. Response to the letter to the editor: On the feasibility of dynamical analysis of network models of biochemical regulation. Bioinformatics 38(14): 3676, 2022. https://doi.org/10.1093/bioinformatics/btac318
Vichi M, Cerioli A, Kestler HA, Okada A, Weihs C. Editorial for ADAC issue 3 of volume 16, Adv Data Anal Classif 16(3): 487-490, 2022. https://doi.org/10.1007/s11634-022-00511-9
Kestler HA, Fürstberger A (eds.). Statistical Computing 2022 - Abstracts der 52. Arbeitstagung, Berichte des Instituts für Medizinische Systembiologie 2022-01, Ulm University, Germany, 2022. http://dx.doi.org/10.18725/OPARU-47039
Vichi M, Cerioli A, Kestler HA, Okada A, Weihs C. Editorial for ADAC issue 4 of volume 15, Adv Data Anal Classif 15(4): 825-828, 2021. https://doi.org/10.1007/s11634-021-00464-5
Vichi M, Cerioli A, Kestler HA, Okada A, Weihs C. Editorial for ADAC issue 3 of volume 15, Adv Data Anal Classif 15(3): 543-546, 2021. https://doi.org/10.1007/s11634-021-00459-2
Vichi M, Cerioli A, Kestler HA, Okada A, Weihs C. Editorial for ADAC issue 2 of volume 15, Adv Data Anal Classif 15(2): 261-265, 2021. https://doi.org/10.1007/s11634-021-00443-w
Vichi M, Cerioli A, Kestler HA, Okada A, Weihs C. Editorial for ADAC issue 1 of volume 15, Adv Data Anal Classif 15(1): 1-4, 2021. https://doi.org/10.1007/s11634-021-00438-7
Vichi M, Cerioli A, Kestler HA, Okada A, Weihs C. Editorial for ADAC issue 3 of volume 14, Adv Data Anal Classif14(3): 585-589, 2020. https://doi.org/10.1007/s11634-020-00421-8
Dammann P, Scherag A, Zak N, Szafranski K, Holtze S, Begall S, Burda H, Kestler HA, Hildbrandt T, Platzer M. Comment on ‚Naked mole-rat mortality rates defy Gompertzian laws by not increasing with age‘, eLife 8: e45415, 2019. https://doi.org/10.7554/eLife.45415
Kestler HA, Schmid M, Lausser L, Fürstberger A (eds.). Statistical Computing 2019 - Abstracts der 51. Arbeitstagung, Ulmer Informatik-Berichte 2019-01, Ulm University, Germany, 2020. https://doi.org/10.18725/OPARU-23807
Kestler HA, Schmid M, Lausser L, Kraus JM, Fürstberger A (eds.). Statistical Computing 2018 - Abstracts der 50. Arbeitstagung, Ulmer Informatik-Berichte 2018-01, Ulm University, Germany, 2020. https://doi.org/10.18725/OPARU-23809
Schmid M, Bischl, B, Kestler HA. Proceedings of Reisensburg 2016-2017, Comput Stat 34(3): 943-944, 2019. https://doi.org/10.1007/s00180-019-00907-w
Kestler HA, Bischl B, Schmid M. Proceedings of Reisensburg 2014-2015, Comput Stat33(3): 1125-1126, 2018. https://doi.org/10.1007/s00180-018-0823-x
Fürstberger A, Platzer M, Kestler HA. Googles DeepVariant: eine Methode für die Medizin- und Bioinformatik? BIOspektrum 24(3): 235-235, 2018.
Kestler HA, Schmid M, Lausser L, Kraus JM, Fürstberger A, (eds.). Statistical Computing 2017 – Abstracts der 49. Arbeitstagung, Ulmer Informatik-Berichte 2017-01, Ulm University, Germany, 2017, ISSN 0939-5091.
Fürstberger A, Kraus JM, Kestler HA, (eds.). Classification 2016 — Abstracts of the 5th German-Japanese Symposium, Ulmer Informatik-Berichte 2016-05, Ulm University, Germany, 2016, ISSN 0939-5091.
Fürstberger A, Lausser L, Kraus JM, Schmid, M, Kestler HA, (eds.). Statistical Computing 2016 – Abstracts der 48. Arbeitstagung, Ulmer Informatik-Berichte 2016-04, Ulm University, Germany, 2016, ISSN 0939-5091.
Fürstberger, A, Lausser, L, Kraus, JM, Schmid, M, Kestler, HA, (eds.). Statistical Computing 2015 – Abstracts der 47. Arbeitstagung, Ulmer Informatik-Berichte 2015-04, Ulm University, Germany, 2015, ISSN 0939-5091.
Kestler HA, Schmid M. Proceedings of Reisensburg 2013, J Stat Comput Simul 85(1): 1-2, 2015.
Kestler HA, Schmid M, Lausser L, Kraus JM, (eds.). Statistical Computing 2014 – Abstracts der 46. Arbeitstagung. Ulmer Informatik-Berichte 2014-04, University of Ulm, Germany, 2014, ISSN 0939-5091.
Kestler HA, Schmid M, Schmid F, Maucher M, Kraus JM. Statistical Computing 2013 – Abstracts der 45. Arbeitstagung. Ulmer Informatik-Berichte 2013-07, University of Ulm, Germany, 2013, ISSN 0939-5091.
Binder H, Kestler HA, Schmid M. Editorial: Proceedings of Reisensburg 2011. Computational Statistics 29(1-2): 1-2, 2014.
Kestler HA, systemrelevant: alterung von stammzellen - Das SyStaR-Projekt an der Universität Ulm, systembiologie.de, pp. 53-56, Ausgabe 06, Januar 2013.
Kestler HA. Book review: “Medizinische Statistik, Harms V, Harms Verlag 2012”. Z Gastroenterol 50(9): 987, 2012.
Binder H, Kestler HA, Schmid M. Editorial: Proceedings of Reisensburg 2010. Comput Stat 28(1): 1-3, 2013.
Kestler HA, Binder H, Schmid M, Kraus JM. Statistical Computing 2012 – Abstracts der 44. Arbeitstagung. Ulmer Informatik-Berichte 2012-02, University of Ulm, Germany, 2012, ISSN 0939-5091.
Kestler HA, Binder H, Schmid M, Leisch F, Kraus JM. Statistical Computing 2011 – Abstracts der 43. Arbeitstagung. Ulmer Informatik-Berichte 2011-04, University of Ulm, Germany, 2011, ISSN 0939-5091.
Kestler HA, Binder H, Lausen B, Klenk HP, Schmid M, Leisch F. Statistical Computing 2010 – Abstracts der 42. Arbeitstagung. Ulmer Informatik-Berichte 2010-05, University of Ulm, Germany, 2010, ISSN 0939-5091.
Zhou D, Müssel C, Lausser L, Hopfensitz M, Kühl M, Kestler HA. Boolean networks for modeling and analysis of gene regulation. Ulmer Informatik-Berichte 2009-10, University of Ulm, Germany, 2009, ISSN 0939-5091.
Kestler HA, Lausen B, Binder H, Klenk HP, Leisch F, Schmid M. Statistical Computing 2009 – Abstracts der 41. Arbeitstagung. Ulmer Informatik-Berichte 2009-07, University of Ulm, Germany, 2009, ISSN 0939-5091.
Maucher M, Schöning U, Kestler HA. On the different notions of pseudorandomness. Ulmer Informatik-Berichte 2008-11, University of Ulm, Germany, 2008, ISSN 0939-5091.
Maucher M, Schöning U, Kestler HA. An empirical assessment of local and population based search methods with different degrees of pseudorandomness. Ulmer Informatik-Berichte 2008- 07, University of Ulm, Germany, 2008, ISSN 0939-5091.
Kestler HA, Messner J, Müller A, Schuler R. On the complexity of intersecting multiple circles for graphical display. Ulmer Informatik-Berichte 2008-01, University of Ulm, Germany, 2008, ISSN 0939-5091.
Kestler HA, Müller A, Liu H, Kane DW, Zeeberg BW, Weinstein JN. Euler diagrams for visualizing annotated gene expression data. In Verroust-Blondet A, Viaud ML, (eds.), Euler Diagrams 2005, 1-4. Paris, France: INRIA, INA, 2005.
Köbler, J, Schuler, R. Average-case intractability vs. worst-case intractability. Information and Computation 190, 1-17, 2004.
Schwenker F, Kestler HA, Palm G. 3-D Visual Object Classification with Hierarchical Radial Basis Function Networks. Ulmer Informatik-Berichte 2001-02, University of Ulm, Germany, 2001, ISSN 0939-5091.
Kestler HA, Schwenker F, Palm G. RBF network classification of ECGs as a potential marker for sudden cardiac death. Ulmer Informatik-Berichte 2001-03, University of Ulm, Germany, 2001, ISSN 0939-5091.
Kestler HA. Annual Review of Biomedical Engineering Volume 1, 1999. Med Biol Eng Comput, N14–N16, May 2000. Book review.
Baune A, Simon S, Kestler HA, Schwenker F, Palm G. Implementierungsaspekte der Objekt-klassifikation unter SMARTSOFT. Ulmer SFB 527 Reports 1999/10, University of Ulm, Germany, 1999, ISSN 1438-2237.
Simon S, Kestler HA, Baune A, Schwenker F, Palm G. Werkzeuge zur visuellen Objektklassifikation. Ulmer SFB 527 Reports 1999/3, University of Ulm, Germany, 1999, ISSN 1438-2237.
Kestler HA. Calculation and Display of Confidence Bounds for Receiver Operator Characteristics. Methods Inf Med 38(1): 74, 1999. Letter to the Editor.
Kestler HA, Simon S, Baune A, Schwenker F, Palm G. Object classification using simple, colour based visual attention and a hierarchical neural network for neural–symbolic integration. Ulmer SFB 527 Reports 1999/4, University of Ulm, Germany, 1999, ISSN 1438-2237.
Kestler HA, Mayer G, Neumann H. Ansätze der clusterbasierten Objektverfolgung auf einem mobilen Roboter. Ulmer SFB 527 Reports 1999/5, University of Ulm, Germany, 1999, ISSN 1438-2237.
Kestler HA, Borst M, Neumann H. Einfache Handgestikerkennung mit einem zweistufigen Nearest–neighbour Klassifikator. Ulmer SFB 527 Reports 1999/6, University of Ulm, Germany, 1999, ISSN 1438-2237.
Kestler HA. Per(l)formance Evaluation of Classifiers – Using Perl for Simulation. In Christoffel J (ed.), GMD Report 49: Erster Deutscher Perl-Workshop 1.0. GMD – Forschungszentrum Informationstechnik GmbH, 1999.
Höher M, Kestler HA, Hombach V. Frequency and Wavelet Analysis of the Signal-Averaged Surface Electrocardiogram. Ann Noninvasive Electrocardiol 1(3): 261-263, 1996. Editorial.
Schuler, R. Some properties of sets tractable under every polynomial-time computable distribution. Inform Process Lett 55: 179-184, 1995.
Höher M, Kestler HA, Hombach V. Special computerized evaluation of high resolution electrocardiograms for risk stratification - Neural network analysis. New Trends Arrhythm 9(4): 859- 864, 1993.
Schuler, R. Randomness as a Resource for the Class BPP. Berichte der gelben Reihe 7. Universität Koblenz/Landau, 1989.
Schöning, U, Schuler, R. Renamable-Horn clauses and unit resolution. Berichte der gelben Reihe 5. Universität Koblenz/Landau, 1989.
Mundhenk, M, Schuler, R. Random Languages for Non-Uniform Complexity Classes. Berichte der gelben Reihe 2. Universität Koblenz/Landau, 1989.
Wissenschaftlicher Mitarbeiter (m/w/d)
"Recent Trends and Future Challenges in Learning from Data" has been published with Springer.
Our paper "Permutation-invariant linear classifiers" has been published in Machine Learning.
Our paper "Prediction of resistance to bevacizumab plus FOLFOX in metastatic colorectal cancer-Results of the prospective multicenter PERMAD trial" has been published in PLoS One.
Our paper "Segmentation-based cardiomegaly detection based on semi-supervised estimation of cardiothoracic ratio" has been published in Scientific Reports.
"Prospective study validating a multidimensional treatment decision score predicting the 24-month outcome in untreated patients with clinically isolated syndrome and early relapsing–remitting multiple sclerosis, the ProVal-MS study" has been published in Neurological Research and Practice.
Our paper "GatekeepR: an R shiny application for the identification of nodes with high dynamic impact in boolean networks" has been published online first in Bioinformatics.
Our paper "The Necessity of Interoperability to Uncover the Full Potential of Digital Health Devices" has been published in JMIR Medical Informatics.
"Multicentric pilot study to standardize clinical whole exome sequencing (WES) for cancer patients" has been published in npj Precision Oncology.
Our paper "AMBAR-interactive alteration annotations for molecular tumor boards" has been published in Computer Methods and Programs in Biomedicine.
"A protocol for the use of cloud-based quantum computers for logical network analysis of biological systems" has been published in STAR Protocols.
Our paper "A systems biology approach to define mechanisms, phenotypes, and drivers in PanNETs with a personalized perspective" has been published in npj systems biology and applications.
"Supporting SURgery with GEriatric Co-Management and AI (SURGE-Ahead): A study protocol for the development of a digital geriatrician" has been published in PLoS One.
"Self-Assessment of Having COVID-19 With the Corona Check Mhealth App" has been published in IEEE Journal of Biomedical and Health Informatics.
Our first quantum computing paper "Leveraging quantum computing for dynamic analyses of logical networks in systems biology" has been published in Patterns.