Schöning U, Kestler HA. Mathe–Toolbox – Mathematische Notationen, Grundbegriffe und Beweismethoden. Lehmanns Media, 1st ed 2010, 2nd ed 2012, 3rd ed 2015.


Wilhelm AFX, Kestler HA, (eds). Analysis of Large and Complex Data. Springer, 2016.


Maucher M. On the influence of non-perfect randomness on probabilistic algorithms. Südwestdeutscher Verlag für Hochschulschriften, Saarbrücken, 2009.



Original Articles


Ikonomi N*, Kühlwein SD*, Schwab JD*, Kestler HA. Awakening the HSC: Dynamic Modeling of HSC Maintenance Unravels Regulation of the TP53 Pathway and QuiescenceFront Physiol 11: 848, 2020. *equal contribution.

Lausser L*, Szekely R*, Kestler HA. Chained correlations for feature selectionAdv Data Anal Classif online first, 2020. *equal contribution.


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.


Schobel J, Probst T, Reichert R, Schlee W, Schickler M, Kestler HA, Pryss R. Measuring Mental Effort for Creating Mobile Data Collection ApplicationsInt J Environ Res Public Health 17(5): 1649, 2020.


Thiam P, Kestler HA*, Schwenker F*. Two-Stream Attention Network for Pain Recognition from Video SequencesSensors (Basel) 20(3): 839, 2020. *equally contributing senior authors.


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.


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 LeukemiaInt J Cancer 146(11): 3219-3231, 2020.


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 cellsLeukemia 34(4): 1125-1134, 2020.


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 hematopoiesisLeukemia 34(4): 1027-1037, 2020.


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 suppressorOncogene 39(7): 1445-1465, 2020.




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.


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 serumPLoS One 14(5): e0216862, 2019.

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.


Thiam P, Bellmann P, Kestler HA, Schwenker F. Exploring Deep Physiological Models for Nociceptive Pain Recognition. Sensors (Basel) 19(20): 4503, 2019.


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.


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.


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.


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. 


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 differenceBMC Med Educ 19(64), 2019. 


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.

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.


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 mutationNat Commun 10(2031), 2019.




Hühne H, Kessler V, Fürstberger A, Kühlwein S, Platzer M, Sühnel J, Lausser L, Kestler HA. 3D Network exploration and visualisation for lifespan dataBMC Bioinformatics 19(1): 390, 2018.

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.

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. 

Kestler HA, McNicholas PD, Wilhelm AFX. Special issue on 'Science of big data: theory, methods and applications'. Adv Data Anal Classif 12: 823-825, 2018.

Kustermann M, Manta L, Paone C, Kustermann J, Lausser L, Wiesner C, Eichinger L, Clemen CS, Schröder R, Kestler HA, Sandri M, Rottbauer W, Just S. Loss of the novel Vcp (valosin containing protein) interactor Washc4 interferes with autophagy-mediated proteostasis in striated muscle and leads to myopathy in vivo. Autophagy 14(11): 1911-1927, 2018.

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.


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.


Lausser L, Schmid F, Schirra LR, Wilhelm AFX, Kestler HA. Rank-based classifiers for extremely high-dimensional gene expression dataAdv Data Anal Classif 12(4): 917-936, 2018.


Schwab JD, Kestler HA. Automatic screening for perturbations in Boolean networksFront Physiol 9: 432, 2018.


Lausser L, Schmid F, Siegle L, Hühne R, Buchholz M, Kestler HA. Identification of biological mechanisms by semantic classifier systems. bioRxiv 335737, 2018.


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), 2018. *equal contribution, **equally contributing joint senior authors.


Kesztyüs D, Erhard J, Schönsteiner D, Kesztyüs T. Therapieoptionen für abdominale Adipositas im Erwachsenenalter. Dtsch Arztbl Int 115(29-30): 487-493, 2018.


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.


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.


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.


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 schoolchildrenBMC Public Health 18: 363, 2018.


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.


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 dataInt J Data Sci Anal 6(3): 241-249, 2018.

Lausser L, Szekely R, Schirra LR, Kestler HA. The Influence of Multi-class Feature Selection on the Prediction of Diagnostic PhenotypesNeural Process Lett 48(2): 863-880, 2018.




Gress TM, Lausser L, Schirra LR, Ortmüller L, Diels R, Kong B, Michalsik CW, Hackert T, Strobel O, Giese NA, Schenk M, Lawlor RT, Scarpa A, Kestler HA, Buchholz M. Combined microRNA and mRNA microfluidic TaqMan array cards for the diagnosis of malignancy of multiple types of pancreatico-biliary tumors in fine-needle aspiration material. Oncotarget 8(64): 108223-108237, 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. 


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.


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.


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


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.


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.


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.


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.


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.


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.


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.




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.


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.


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.


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.


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.


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.


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.


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.


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.


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.


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. 




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.


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.


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.


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.


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.


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.


Völkel G, Lausser L, Schmid F, Kraus JM, Kestler HA. Sputnik: ad hoc distributed computation. Bioinformatics 31(8): 1298-301, 2015.


Schmid M, Kestler HA, Potapov S. On the validity of time-dependent AUC estimators. Brief Bioinform 16(1): 153-168, 2015.


Kraus JM, Lausser L, Kestler HA. Exhaustive k-nearest neighbour subspace clusteringJ Stat Comput Simul 85(1): 30-46, 2015.


Fürstberger A, Maucher M, Kestler HA. Extended pairwise local alignment of wild card DNA/RNA-sequences using dynamic programmingJ Stat Comput Simul 85(1): 3-13, 2015.



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.


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.


Lausser L, Schmid F, Schmid M, Kestler HA. Unlabeling data can improve classification accuracy. Pattern Recognit Lett 37: 15-23, 2014.


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.


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.


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.




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.


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.


Schnattinger T, Schöning U, Kestler HA. Structural RNA alignment by multi-objective optimization. Bioinformatics 29(13): 1607-1613, 2013.


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.


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.


Lausser L, Müssel C, Maucher M, Kestler HA. Measuring and visualizing the stability of biomarker selection techniques. Comput Stat 28(1): 51-65, 2013.


Hopfensitz M, Müssel C, Maucher M, Kestler HA. Attractors in Boolean networks - a tutorial. Comput Stat 28(1): 19-36, 2013.


Schels M, Scherer S, Glodek M, Kestler HA, Palm G, Schwenker F. On the discovery of events in EEG data utilizing information fusionComput Stat 28(1): 5-18, 2013.




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.


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.


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.


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.


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.


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.


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. 


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.


Müssel C, Lausser L, Maucher M, Kestler HA. Multi-Objective Parameter Selection for Classifiers. J Stat Softw 46(5): 1-27, 2012.


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.


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.


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.


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.


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.




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.


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.


Kestler HA, Kühl M. Generating a Wnt switch: it’s all about the right dosage. J Cell Biol 193(3): 431-433, 2011.


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.


Maucher M, Kracher B, Kühl M, Kestler HA. Inferring Boolean network structure via correlation. Bioinformatics 27(11): 1529-1536, 2011.


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.


Kraus JM, Müssel C, Palm G, Kestler HA. Multi-objective selection for collecting cluster alternatives. Comput Stat 26(2): 341-353, 2011.


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.




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.


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.


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.


Kraus JM, Kestler HA. A highly efficient multi-core algorithm for clustering extremely large datasets. BMC Bioinform 11(1): 169, 2010. 


Müssel C, Hopfensitz M, Kestler HA. BoolNet - an R package for generation, reconstruction, and analysis of Boolean networks. Bioinformatics 26(10): 1378-1380, 2010.


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.


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.




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.


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.


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.




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.


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.


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.


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.


Sträng, JE. Localization of quantum wave packetsJ Phys A: Math Theor 41(3): 035307, 2008. 




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.


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.


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.


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.


Müller A, Holzmann KH, Kestler HA. Visualization of genomic aberrations using Affymetrix SNP arrays. Bioinformatics 23(4): 496-497, 2007.


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.


Hofmeister, T, Schöning, U, Schuler, R, Watanabe, O. Randomized Algorithms for 3-SATTheory Comput Syst 40(3): 249-262, 2007.


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.


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.


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.




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.


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.




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.


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.


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.


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.


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.


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.


Sträng, JE. On the characteristic exponents of Floquet solutions to the Mathieu equationAcad Roy Belg Bull Cl Sci 16(6): 269-287, 2005.


Sträng, JE, Östborn, P. Wave patterns in frequency-entrained oscillator latticesPhys Rev E Stat Nonlin Soft Matter Phys 72(5): 056137, 2005.


Schuler, R. An algorithm for the satisfiability problem of formulas in conjunctive normal formAlgorithms 54(1): 40-44, 2005.




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.


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.


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.


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.


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.


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.


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.




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.


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.


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.


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.




Aida, S, Schuler, R, Tsukiji, T, Watanabe, O. The Difference between Polynomial-Time Many-One and Truth-Table Reducibilities on Distributional ProblemsTheory Comput Syst 35: 449-463, 2002.


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.




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.


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.


Schwenker F, Kestler HA, Palm G. Three learning phases for radial–basis–function networks. Neural Netw 14(4-5): 439-458, 2001.


Hug H, Schuler R. Strategies for the development of a peptide computer. Bioinformatics 17(4): 364-368, 2001.


Kestler HA. ROC with confidence – a Perl program for receiver operator characteristic curves. Comput Methods Programs Biomed 64(2): 133-136, 2001.




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.


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.


Lindner W, Schuler R, Watanabe O. Resource-Bounded Measure and LearnabilityTheory Comput Syst 33(2): 151-170, 2000.




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.


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. (in German)


Kestler HA, Haschka M. A Model for the Emergence of Cafe ́–au–Lait Macules. J Invest Dermatol 113: 858-859, 1999.




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.




Schuler R, Yamakami T. Structural Average Case ComplexityJ Comput Syst Sci 52(2): 308-327, 1996.




Arvind V, Köbler J, Schöning U, Schuler R. If NP has polynomial-size circuits, then MA = AMTheor Comput Sci 137(2): 279-282, 1995.


Arvind V, Köbler J, Schuler R. On Helping and Interactive Proof SystemsInt J Found Comput Sci 6(2): 137-153, 1995.




Kestler HA, Farschtschi AA, Wein PH. Untersuchung und Simulation Neuronaler Netze mit dynamischer Strukturänderung. Automatisierungstechnische Praxis 36(2): 47-51, 1994.




Mundhenk M., Schuler R. Random languages for nonuniform complexity classesJ Complex 7(3): 296-310, 1991.




Review articles


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.


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.



Refereed conference proceedings


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.


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.


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.


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.


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.


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.


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.


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.


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

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.


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.


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.


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.


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.


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.


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.


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.


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.


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. 


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.


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.


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.


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.


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.


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.


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.


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.


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.


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.


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.


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.


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.


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.


 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.


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.


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.


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.


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://


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.


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.


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.


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.


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.


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.


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.


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.


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.


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.


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.


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.


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.


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.


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.


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.


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.


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.


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.


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.


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.


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.


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.), IEEE Computers in Cardiology, pp. 233-236. IEEE Computer Society, 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, 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. 



Book chapters


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.



Technical reports, Book reviews, Editorials, Letters to the Editor


Schmid M, Bischl, B, Kestler HA. Proceedings of Reisensburg 2016-2017, Comput Stat 34(3): 943-944, 2019

Kestler HA, Bischl B, Schmid M. Proceedings of Reisensburg 2014-2015, Comput Stat 33(3): 1125-1126, 2018.


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,, 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.