Schöning, U., Kestler, H. A. Mathe–Toolbox – Mathematische Notationen, Grundbegriffe und Beweismethoden. (Lehmanns Media, Berlin, 2010).
Maucher, M. On the influence of non-perfect randomness on probabilistic algorithms. (Südwestdeutscher Verlag für Hochschulschriften, Saarbrücken, 2009).
Hesse, R., Lausser, L., Gummert, P., Schmid, F., Wahler, A., Schnack, C., Kroker, K.S., Otto, M., Tumani, H., Kestler, H.A., Rosenbrock, H., von Arnim, C.A.F. Reduced cGMP levels in CSF of AD patients correlate with severity of dementia and current depression. Alzheimers Res Ther 9:17, (2017).
Müssel, C., Schmid, F., Blätte, T. J., Hopfensitz, M., Lausser, L., Kestler, H. A. BiTrinA—multiscale binarization and trinarization with quality analysis. Bioinformatics 32(3): 465–468, (2016).
Radulovic, K., Rossini, V., Manta, C., Holzmann, K., Kestler, H. A., Niess, J. H. The Early Activation Marker CD69 Regulates the Expression of Chemokines and CD4 T Cell Accumulation in Intestine. PLoS One 8(6): e65413, (2013).
Kletting, P., Schimmel, S., Kestler, H. A., Hänscheid, H., Luster, M., Fernández, M., Bröer, J. H., Nosske, D., Lassmann, M., Glatting, G. Molecular radiotherapy: The NUKFIT software for calculating the time-integrated activity coefficient: NUKFIT software. Med Phys 40(10): 102504, (2013).
Schnattinger, T., Schöning, U., Marchfelder, A., Kestler, H. A. RNA-Pareto: interactive analysis of Pareto-optimal RNA sequence-structure alignments. Bioinformatics 29(23): 3102–3104, (2013).
Schnattinger, T., Schöning, U., Kestler, H. A. Structural RNA alignment by multi-objective optimization. Bioinformatics 29(13): 1607–1613, (2013).
Florian, M. C., Nattamai, K. J., Dörr, K., Marka, G., Überle, B., Vas, V., Eckl, C., Andrä, I., Schiemann, M., Oostendorp, R. A. J., Scharffetter-Kochanek, K., Kestler, H. A., Zheng, Y., Geiger, H. A canonical to non-canonical Wnt signalling switch in haematopoietic stem-cell ageing. Nature 503(7476): 392–396, (2013).
Azoitei, N., Hoffmann, C. M., Ellegast, J. M., Ball, C. R., Obermayer, K., Gößele, U., Koch, B., Faber, K., Genze, F., Schrader, M., Kestler, H. A., 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).
Buchholz, M., Kestler, H. A., Holzmann, K., Ellenrieder, V., Schneiderhan, W., Siech, M., Adler, G., Bachem, M. G., Gress, T. M. 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).
Sträng, J. E., Östborn, P. Wave patterns in frequency-entrained oscillator lattices. Phys Rev E Stat Nonlin Soft Matter Phys 72(5): 056137, (2005).
Fensterer, H., Giehl, K., Buchholz, M., Ellenrieder, V., Buck, A., Kestler, H. A., Adler, G., Gierschick, P., Gress, T. M. 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(3): 224–235, (2004).
Kestler, H. A., Müller, A., Hombach, V., Wöhrle, J., Palm, G., Höher, M., Schwenker, F. Decision fusion of micro-variability and signal-averaged ECG parameters from the QRS complex with RBF networks. IEEE Comput Cardiol 29: 297–300, (2002).
Kestler, H. A., Schwenker, F., Wöhrle, J., Hombach, V., Palm, G. , Höher, M. Combined Assessment of Beat-to-Beat Micro-Variability and Signal-Averaged ECG Parameters. IEEE Comput Cardiol 28: 73–76, (2001).
Naldi, A., Monteiro, P. T., Müssel, C., the Consortium for Logical Models and Tools, Kestler, H. A., 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, P. U., Kestler, H. A., 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 Cell Dev 22(5): 695–706, (2013).
Füllen, G., Dengjel, J., Höflich, A., Hoeijemakers, J., Kestler, H. A., Kowald, A., Priebe, S., Rebholz-Schuhmann, D., Schmeck, B., Schmitz, 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, B. O., Ellenrieder, V., Fulda, S., Gress, T. M., Holzmann, K., Kestler, H. A., Kornmann, M., Menke, A., Möller, P., Oswald, F., Schmid, R. M., Schmidt, V., Schirmbeck, R., Seufferlein, T., Wichert, G. von, 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 Ulm University. Pancreas 40(4): 489–502, (2011).
Floßbach, L., Kestler, H. A., Gress, T. M., Möller, P., Barth, T. F. E. Aktuelle Aspekte zur Pathogenese von extranodalen Marginalzonen B-Zell Lymphomen vom MALT-Typ und gastrointestinalen diffusen großzelligen B-Zell Lymphomen. Z Gastroenterol 48: 833–838, (2010).
Kestler, H. A., 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, H. A. , Gress, T. M. Differential diagnosis of pancreatic tumors by molecular analysis of clinical specimens. Pancreatology 8(6): 551–557, (2008).
Kestler, H. A., Kühl, M. From individual Wnt pathways towards a Wnt signalling network. Philos Trans R Soc Lond B Biol Sci 363(1495): 1333–134, (2008).
Wöhrle, J., Nusser, T., Habig, T., Mottaghy, F., Kochs, M., Kestler, H. A., Reske, S. N., Hombach, V. , Krause, B. J. Comparison of the slow-release paclitaxel-eluting Taxus-Express stent with intracoronary β-brachytherapy using a Rhenium-188 filled balloon catheter in patients with in-stent restenoses. J Am Coll Cardiol 98 Suppl. 8A: 444, (2006).
Kestler, H. A. , Küfer, R. Wertigkeit und Notwendigkeit bioinformatischer Methoden zur Mikroarray-Datenanalyse. Urologe 43(6): 669–674, (2004).
Schwänen, C., Wessendorf, S., Kestler, H. A., Döhner, H., Lichter, P. , Bentz, M. DNA microarray analysis in malignant lymphomas. Ann Hematol 83(6): 323–332, (2003).
El-Messiry, H., Kestler, H. A., Grebe, O. , Neumann, H. Morphological Scal-Space Decomposition for Segmenting the Venricular Structure in Cardiac MR Images. In Bildverarbeitung für die Medizin 2003 (eds. Wittenberg, T., Hastreiter, P., Hoppe, U., Handels, H., Horsch, A. , Meinzer, H.-P.): 181–185, (2003).
Grebe, O., Giesler, M., Kestler, H. A., Hombach, V. , Höher, M. Magnetic Resonance Imaging After Percutaneous Closure of a Patent Foramen Ovale. Circulation 104: e117–e118, (2001).
Kestler, H. A., Hombach, V., Osterhs, H.-H., Kochs, M. , Höher, M. Non-invasive Risk Stratification in Patients after Myocardial Infarction – A Brief Review. Biocybern Biomedical Eng 20(1): 67–79, (2000).
Höher, M., Brummer, T. , Kestler, H. A. Concept and Initial Experience with a Mid-term DICOM Archiving System Acting as an Intelligent Buffer to Clinical Requests. IEEE Comput Cardiol 26: 319–322, (1999).
Schirra, L.-R., Schmid, F., Kestler, H.A., Lausser, L. Interpretable classifiers in precision medicine: feature selection and multi-class categorization. In Artificial Neural Networks in Pattern Recognition (ANNPR-16), (eds. Schwenker, F., Hazem, A., El Gayar, N., Trentin, E.): 105–116. Springer International Publishing, Heidelberg, (2016).
Müssel, C., Lausser, L., Kestler, H.A. Ensembles of Representative Prototype Sets for Classification and Data Set Analysis. In Data Science, Learning by Latent Structures, and Knowledge Discovery,(eds. Lausen, B., Krolak-Schwerdt, S., Böhmer, M.): 329–339. Springer-Verlag, Berlin, (2015).
Lattke, R., Lausser, L., Müssel, C., Kestler, H. A. Detecting Ordinal Class Structures. In Multiple Classifier Systems, (eds. Schwenker, F., Roli, F., Kittler, J.): 100–111. Springer US, (2015).
Völkel, G., Maucher, M., Schöning, U., Kestler, H. A. Group-Based Ant Colony Optimization. In Proceedings of the fifteenth international conference on Genetic and evolutionary computation conference: 121-128. ACM, (2014).
Völkel, G., Maucher, M., Schöning, U., Kestler, H. A. Ant Colony Optimization with Group Learning. In Proceedings of the sixteenth international conference on Genetic and evolutionary computation conference: 57-64. ACM, (2014).
Schmid, F., Lausser, L., Kestler, H. A. Linear Contrast Classifiers in High-Dimensional Spaces. In Artificial Neural Networks in Pattern Recognition, vol LNAI 8774,(eds. Gayar, N. E., Schwenker, F., Suen, C.): 141-152. Springer International Publishing, Heidelberg, (2014).
Lausser, L. Robuste Klassifikationsverfahren für hochdimensionale Datensätze. In Ausgezeichnete Informatikdissertationen 2013, (eds. Hölldobler, S. et al.): 111-121. Köllen Druck+Verlag GmbH, Bonn, (2014).
Lausser, L., Schmid, F. & Kestler, H. A. Multi-classifier systems incorporating meta information for the analysis of gene expression profiles. In Proceedings of the GPSDAA 2013 Symposium, Dresden. KIT Scientific Publishing, (2014).
Müssel, C., Kraus, J. M., Priebe, S., Fürstberger, A., Thalheim, T., Hühne, R., Sühnel, J., Kestler, H. A. An extended data management and analysis system for ageing research. 5th Conference on Systems Biology of Mammalian Cells, Berlin, (2014).
Schmid, F., Lausser, L., Kestler, H.A. Three Transductive Set Covering Machines. In Data Analysis, Machine Learning and Knowledge Discovery Studies in Classification, Data Analysis, and Knowledge Organization, (eds. Spiliopoulou, M., Schmidt- Thieme, L., Janning, R.): 303-311. Springer International Publishing, Heidelberg, (2014).
Lausser, L., Kestler, H. A. Fold change classifiers for the analysis for the analysis of gene expression profiles. In Proceedings of the German/Japanese Workshops in 2010 (Karlsruhe) and 2012 (Kyoto), (eds. Gaul, W., Geyer-Schulz, A., Baba, Y., Okada, A.): 193-202. (2014).
Burkovski, A., Lausser, L., Kraus, J. M., Kestler, H. A. Rank Aggregation for Candidate Gene Identification. In Data Analysis, Machine Learning and Knowledge Discovery (eds. Spiliopoulou, M., Schmidt-Thieme, L., Janning, R.), 285–293. Springer International Publishing, Heidelberg, (2014).
Völkel, G., Kraus, J. M., Kestler, H. A. Algorithm Engineering with Clojure. In ELS ’12: Proceedings of the 5th European Lisp Symposium: 34–41. (2012).
Schnattinger, T., Schöning, U., Kestler, H. A. Pareto-optimal RNA sequence-structure alignments. In 9th International Workshop on Computational Systems Biology (WSCB): 83–86. (2012).
Lausser, L., Müssel, C., Maucher, M., Kestler, H. A. Feature Reduction and Nearest Neighbours. In Challenges at the Interface of Data Analysis, Computer Science, and Optimization, (eds. Gaul, W., Geyer-Schulz, A., Schmidt-Thieme, L., Kunze, J.): 363–370. Springer-Verlag, Heidelberg (2012).
Hopfensitz, M., Maucher, M., Kestler, H. A. Fuzzy Boolean network reconstruction. In Challenges at the Interface of Data Analysis, Computer Science, and Optimization (eds. Gaul, W., Geyer-Schulz, A., Schmidt-Thieme, L., Kunze, J.): 263–270. Springer-Verlag, Heidelberg, (2012).
Lausser, L., Müssel, C., Kestler, H.A. Representative Prototype Sets for Data Characterization and Classification. In Artificial Neural Networks in Pattern Recognition (ANNPR12), vol LNAI 7477, (eds. Mana N., Schwenker F., Trentin E.): 36–47. Springer-Verlag, Heidelberg, (2012).
Lausser, L., Schmid, F., Kestler, H.A. On the utility of partially labeled data for classification of microarray data. In Partially Supervised Learning (PSL), vol LNCS 7081, (eds. Schwenker F., Trentin E.): 96–109. Partially Supervised Learning, (2012).
Lausser, L., Kestler, H.A. Robustness analysis of eleven linear classifiers in extremely high– dimensional feature spaces. In Artificial Neural Networks in Pattern Recognition (ANNPR-10), vol LNAI 5998, (eds. Schwenker, F., El Gayar, N.): 72–83. Springer-Verlag, Heidelberg, (2010).
Kraus, J. M., Kestler, H. A. Multi-core parallelization using transactional memory: A K-means case study. In Statistical Computing 2009, (eds. Kestler, H. A., Lausen, B., Binder, H., Klenk, H.-P., Leisch, F., Schmid, M.): 12. Ulm University, (2009).
Kraus, J. M., Kestler, H. A. Multi-core parallelization in Clojure: a case study. In Proceedings of the 6th European Lisp Workshop: 8–17. ACM, (2009).
Lausser, L., Schwenker, F., Palm, G. Detecting zebra crossings utilizing adaboost. In Verleysen M, editor, Proceedings of the 16th European Symposium on Artificial Neural Networks (ESANN): 535–540. (2008).
Lausser, L., Buchholz, M., Kestler, H.A. Boosting threshold classifiers for high–dimensional data in functional genomics. In Artificial Neural Networks in Pattern Recognition (ANNPR08), vol LNAI 5064, (eds. Prevost, L., Marinai, S., Schwenker, F.): 147–156. Springer-Verlag, Heidelberg, (2008).
Kestler, H. A., Kraus, J. M., Höher, M., Hombach, V., Wöhrle, J. Prognostic Significance of Electrocardiogram and Cine Magnetic Resonance Imaging Parameters in Patients with Idopathic Dilated Cardiomyopathy. IEEE Comput Cardiol 34: 77–80, (2007).
Müller, A., Neitmann, A., Kunze, M., Merkle, N., Höher, M., Hombach, V., Wöhrle, J., Neumann, H., Kestler, H. A. Integrating Model Based and Data Driven Approaches for the Automatic Segmentation of Cardiac Short-Axis Cine MRI Recordings. IEEE Comput Cardiol 33: 73–76, (2006).
Kestler, H. A., Lindner, W., Müller, A. Learning and feature selection using the set covering machine with data-dependent rays on gene expression profiles. In Artificial Neural Networks in Pattern Recognition (ANNPR 06), vol LNAI 4087, (eds. Schwenker, F., Marinai, S.): 286–297. Springer-Verlag, Heidelberg, (2006).
Kestler, H. A., Kraus, J. M., Palm, G., Schwenker, F. On the effects of constraints in semi-supervised hierarchical clustering. In Artificial Neural Networks in Pattern Recognition (ANNPR 06), LNAI 4087, (eds. Schwenker, F., Marinai, S.): 57–66. Springer-Verlag, Heidelberg, (2006).
Guttmann, W., Maucher, M. Variations on an Ordering Theme with Constraints. In 4th IFIP International Conference on Theoretical Computer Science: TCS 2006, (eds. Navarro, G., Bertossi, L., Kohayakawa, Y.): 77–90. Springer US, (2006).
Kestler, H. A., Müller, A., Buchholz, M., Gress, T. M., Palm, G. A perceptually optimized scheme for vsiualizing gene expression ratios with confidence values. In Perception and Interactive Technologies (PIT 06), vol LNAI 4021, (eds. André, E., Dybkjær, L., Minker, W., Neumann, H., Weber, M.): 73–84. Springer-Verlag, Heidelberg, (2006).
List, B., Maucher, M., Schöning, U., Schuler, R. Randomized Quicksort and the Entropy of the Random Source. In Computing and Combinatorics: 11th Annual International Conference, COCOON, (ed. Wang, L.): 450–460. Springer-Verlag, Heidelberg, (2005).
Müller, A., Neitmann, A., Merkle, N., Wöhrle, J., Hombach, V., Kestler, H. A. Contour Detection of Short Axis Slice MR Images for Contraction Irregularity Assessment. IEEE Comput Cardiol 32: 21–24, (2005).
Müller, A., Merkle, N., Hombach, V., Grebe, O., Nusser, T., Wöhrle, J., Binner, L., Kestler, H. A. Extracting Robust Features from Cardiac Magnetic Resonance Image Contours for Detecting Dilated Cardiomyopathy. IEEE Comput Cardiol 31: 157–160, (2004).
El-Messiry, H., Kestler, H. A., Grebe, O., Neumann, H. Segmenting the Endocardial Border of the Left Ventricle in Cardiac Magnetic Resonance Images. IEEE Comput in Cardiol 30: 625–628, (2003).
Kestler, H. A., Höher, M. Prognostic Value of Intra-QRS and ST-T Micro-Variability – A 2 Year Follow-up. IEEE Comput Cardiol 30: 89–92, (2003).
Grebe, O., Müller, A., Merkle, N., Wöhrle, J., Binner, L., Hombach, V., Neumann, H., Kestler, H. A. Estimation of Intra- and Inter-ventricular Dyssynchronization with Cardiac Magnetic Resonance Imaging. IEEE Comput Cardiol 30: 741–743, (2003).
El-Messiry, H., Kestler, H. A., Grebe, O., Neumann, H. Morphological Scale-Space Decomposition for Segmenting the Ventricular Structure in Cardiac MR Images. In Bildverarbeitung für die Medizin 2003, (eds. Wittenberg, T., Hastreiter, P., Hoppe, U., Handels, H., Horsch, A., Meinzer, H.-P.): 181–185. Springer-Verlag, Heidelberg, (2003).
Arvind, V., Schuler, R. The Quantum Query Complexity of 0-1 Knapsack and Associated Claw Problems. In Algorithms and Computation: 14th International Symposium, ISAAC 2003, (eds. Ibaraki, T., Katoh, N., Ono, H.): 168–177. Springer-Verlag, Heidelberg, (2003).
Kestler, H. A., Buchholz, M., Böck, W., Schwenker, F., Müller, A., Palm, G., Gress, T. M. Feature reduction and classification of pancreatic cancer vs healthy pancreas based on gene expression data. In Currents in Computational Molecular Biology 2003, (eds. Spang, R., Beéiat, P., Vingron, M.): 251–252. (2003).
Hollas, B., Schuler, R. A Stochastic Approach to Count RNA Molecules Using DNA Sequencing Methods. In Algorithms in Bioinformatics: Third International Workshop, WABI 2003, (eds. Benson, G., Page, R. D. M.): 55–62. Springer-Verlag, Heidelberg, (2003).
Simon, S., Schwenker, F., Kestler, H. A., Kraetzschmar, G., Palm, G. Hierarchical Object Classification for Autonomous Mobile Robots. In Artificial Neural Networks – ICANN 2002, (ed. Dorronsoro, J. R.): 831–836. Springer-Verlag, Heidelberg, (2002).
Kestler, H. A., Müller, A., Hombach, V., Wöhrle, J., Grebe, O., Palm, G., Moher, M., Schwenker, F. Decision fusion of micro-variability and signal averaged ECG parameters from the QRS complex with RBF networks. IEEE Computers in Cardiology 29: 297–300, (2002).
Schwenker, F., Kestler, H. A. Analysis of support vectors helps to identify borderline patients in classification studies. IEEE Comput Cardiol 29: 305–308, (2002).
Hofmeister, T., Schöning, U., Schuler, R., Watanabe, O. A Probabilistic 3—SAT Algorithm Further Improved. In STACS 2002: 19th Annual Symposium on Theoretical Aspects of Computer Science Antibes, (eds. Alt, H., Ferreira, A.): 192–202. Springer-Verlag, Heidelberg, (2002).
Hug, H., Schuler, R. DNA-based Parallel Computation of Simple Arithmetic. In DNA Computing: 7th International Workshop on DNA-Based Computers, (eds. Jonoska, N., Seeman, N. C.): 321–328. Springer-Verlag, Heidelberg, (2002).
Grebe, O., Lehn, M., Neumann, H., Schwenker, F., Wöhrle, J., Höher, M., Hombach, V., Kestler, H. A. Parameters for characterizing diastolic function with cardiac magnetic resonance imaging. IEEE Comput Cardiol 29: 185–188, (2002).
Wichert, A., Kestler, H. A., Walter, H., Grön, G., Baune, A., Grothe, J., Wunderlich, A., Sommer, F. T. Explorative detection of delay activity during a working memory task. In Neural Networks and Expert Systems in Medicine and Healthcare, (ed. Papadourakis, G. M.): 266–271. Technological Educational Institute of Crete, (2001).
Schwenker, F., Kestler, H. A., 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: 344–349. IEEE, (2001).
Kestler, H. A., Schwenker, F., Wöhrle, J., Hombach, V., Palm, G., Hoher, M. Combined assessment of beat-to-beat micro-variability and signal-averaged ECG parameters. IEEE Comput Cardiol 28: 73–76, (2001).
Grebe, O., Höher, M., Schwenker, F., Neumann, H., Wöhrle, J., Palm, G., Hombach, V., Kestler, H. A. New Markers for Diastolic Function by Cardiac Magnetic Resonance Imaging. IEEE Comput Cardiol 28: 625–628, (2001).
Aida, S., Schuler, R., Tsukiji, T., Watanabe, O. On the Difference between Polynomial-Time Many-One and Truth-Table Reducibilities on Distributional Problems. In STACS 2001: 18th Annual Symposium on Theoretical Aspects of Computer Science Dresden, (eds. Ferreira, A., Reichel, H.): 51–62. Springer-Verlag, Heidelberg, (2001).
Kestler, H.A., Höher, M., Schwenker, F. Evolutionary Optimization of a Wavelet Classifier for the Categorization of Beat-to-Beat Variability Signals. In Artificial Neural Nets and Genetic Algorithms, (eds. Kurkova, V., Steele, N., Neruda, R., Karny, M.): 280–283. Springer-Verlag, Wien, (2001).
Simon, S., Vogt, F., Kestler, H. A., Schwenker, F., Palm, G. Aufmerksamkeitssteuerung für die Objektklassifikation auf einem autonomen mobilen Roboter. In Dynamische Perzeption, (eds. Baratoff, G., Neumann, H.): 195–198. Akademische Verlagsgesellschaft, (2000).
Schwenker, F., Kestler, H. A., Palm, G. Radial–Basis–Function Networks: Learning and Applications. In Fourth International Conference on Knowledge–Based Intelligent Engineering Systems, Allied Technologies, (eds. Howlett, R. J., Jain, L. C.): 33–43. IEEE, (2000).
Schwenker, F., Kestler, H. A., Palm, G. Combination of Supervised and Unsupervised Learning for Radial–Basis–Function Networks. In Second International ICSC Symposium on Neural Computation (NC’2000), (eds. Bothe, H. H., Rojas, R.): 22–28. ICSC Academic Press, (2000).
Schwenker, F., Kestler, H. A. Decision Trees for the Analysis and Classification of Signal Averaged High-Resolution ECGs. Biomed Tech 45: 191–194, (2000).
Kestler, H. A., Palm, G. A simple evolutionary wavelet classifier for the categorization of beat-to-beat variability signals. Biomed Tech 45: 30–35, (2000).
Kestler, H. A., 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. IEEE Comput Cardiol 27: 715–718, (2000).
Schwenker, F., Kestler, H. A., Palm, G. An Algorithm for Adaptive Clustering and Visualization of Highdimensional Data Sets. In Computational Intelligence in Data Mining, (eds. Riccia, G. D., Kruse, R., Lenz, H. J.): 127–140. Springer-Verlag, Wien, (2000).
Höher, M., Wöhrle, J., Scharf, B., Thamasett, S., Stiller, S., Bauer, S., Kestler, H. A. Heart-Rate Dependency of QRS-Microvariability During Atrial Pacing. IEEE Comput Cardiol 27: 727–730, (2000).
Simon, S., Kestler, H. A., 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: 244–249. IEEE, (1999).
Kestler, H. A., Schwenker, F., Hafner, G., Hombach, V., Palm, G., Höher, M. Feasibility Study of Complete Neural Net Based Classification of Signal–Averaged High–Resolution ECGs. IEEE Comput Cardiol 26: 575–578, (1999).
Höher, M., Brummer, T., Kestler, H. A. Concept and initial experience with a mid-term DICOM archiving system acting as an intelligent buffer to clinical requests. IEEE Comput Cardiol 26: 319–322, (1999).
Kestler, H. A., 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. In KI–99 Advances in Artificial Intelligence, (eds. Burgard, W., Christaller, T., Cremers, A. B.): 267–279. Springer-Verlag, Heidelberg, (1999).
Baune, A., Simon, S., Kestler, H. A., Schwenker, F., Palm, G. Schritthaltende Objektklassifikation für einen autonomen mobilen Roboter. In Autonome Mobile Systeme 1999, (eds. Schmidt, G., Hanebeck, U., Freyberger, F.): 254–261. Springer-Verlag, Heidelberg, (1999).
Schuler, R. Universal Distributions and Time-Bounded Kolmogorov Complexity . In STACS 99: 16th Annual Symposium on Theoretical Aspects of Computer Science Trier, (eds. Meinel, C., Tison, S.): 434–443. Springer-Verlag, Heidelberg, (1999).
Kestler, H. A., Simon, S., Baune, A., Hagenbüchner, M., Schwenker, F., Palm, G. A Hierarchical Neural Object Classifier for Subsymbolic–Symbolic Coupling. In Mustererkennung 1999, (eds. Förster, W., Buhmann, J. M., Faber, A., Faber, P.): 27–35. Springer-Verlag, Heidelberg, (1999).
Wichert, A., Kestler, H. A. A categorical based reanimation expert system. In Neural Networks and Expert Systems in Medicine and Healthcare, (eds. Ifeachor, E. C., Sperduti, A., Starita, A.): 187–193. World Scientific, (1998).
Kestler, H. A., 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 IEEE Comput Cardiol, (eds. Murray, A., Swiryn, S.): 233–236. IEEE Computer in Society, (1998).
Schuler, R. A note on universal distributions for polynomial-time computable distributions. in Computational Complexity, 1997. Proceedings., Twelfth Annual IEEE Conference on (Formerly: Structure in Complexity Theory Conference): 69–73. (1997).
Kestler, H. A., Strey, H., Dickhaus, H., Palm, G., Hombach, V., Höher, M. Diskrete Waveletanalyse des signalgemittelten, hochauflösenden Elektrokardiogramms. In Medizinische Informatik, Biometrie und Epidemiologie - GMDS 97, (eds. Muche, R., Büchele, G., Harder, D., Gaus, W.): 96–101. MMV Medizin Verlag, (1997).
Kestler, H. A., Strey, H., Dickhaus, H., Palm, G., Hombach, V., Höher, M. Discrete Wavelet Analysis of the Signal-Averaged High-Resolution Electrocardiogram. In IEEE Comput Cardiol, (eds. Murray, A., Swiryn, S.): 621–624. IEEE Computer in Society, (1997).
Kestler, H. A., Schwenker, F., Palm, G., Hombach, V., Höher, M. Neuronale Netze zur Visualisierung und Klassifikation - Anwendung auf hochverstärkte EKG Signale. In Medizinische Informatik, Biometrie und Epidemiologie - GMDS 97 (eds. Muche, R., Büchele, G., Harder, D., Gaus, W.), 90–95. MMV Medizin Verlag, (1997).
Höher, M., Ritscher, D. E., Bauer, S., Kodler, M., Kestler, H. A., Hombach, V. Beat-to-Beat Variability of QRS Duration: Initial Results from a Large ECG Database with Prospective Follow-up. In IEEE Comput Cardiol, (eds. Murray, A., Swiryn, S.): 613–616, IEEE Computer in Society, (1997).
Schwenker, F., Kestler, H. A., Palm, G. Visualization and Analysis of Signal Averaged High Resolution Electrocardiograms Employing Cluster Analysis and Multidimensional Scaling. In IEEE Comput Cardiol, (eds. Murray, A., Arzbaecher, R.): 453–456, IEEE Computer in 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: 190–195. (1996).
Kestler, H. A., Höher, M., Schwenker, F., Hombach, V. Filtering Beat-to-Beat Recordings of the High Resolution Electrocardiogram. In IEEE Comput Cardiol, (eds. Murray, A., Arzbaecher, R.): 461–464, IEEE Computer Society, (1996).
Kestler, H. A., Höher, M., Palm, G., Kochs, M., Hombach, V. Time Domain Variability of High Resolution Beat-to-Beat Recordings Classified by Neural Networks. In IEEE Comput Cardiol, (eds. Murray, A., Arzbaecher, R.): 317–320. IEEE Computer Society, (1996).
Schwenker, F., Kestler, H. A., Höher, M., Palm, G. Klassifikation hochverstärkter EKG Signale durch RBF Netzwerke. In Mustererkennung 1995, (eds. Sagerer, G., Posch, S., Kummert, F.): 387–394. Springer-Verlag, Heidelberg, (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: 148–159. IEEE, (1995).
Schuler, R. Average polynomial time is hard for exponential time under sn-reductions. In Foundations of Software Technology and Theoretical Computer Science: 15th Conference, (ed. Thiagarajan, P. S.): 240–247. Springer-Verlag, Heidelberg, (1995).
Kestler, H. A., Schwenker, F., Höher, M. Combining Supervised Competitive Learning and Gradient Descent Learning to Classify Signal-Averaged High-Resolution Electrograms. In IEEE Comput Cardiol 22: 381–384, (1995).
Schuler, R., Yamakami, T. Sets computable in polynomial time on average. In Computing and Combinatorics: First Annual International Conference, COCOON, (eds. Du, D.-Z., Li, M.): 400–409. Springer-Verlag, Heidelberg, (1995).
Höher, M., Kestler, H. A., Bauer, S., Weismüller, P., Palm, G., Hombach, V. Neural Network Based Analysis of the Signal Averaged Electrocardiogram. In IEEE Computers in Cardiology 22: 257–260, (1995).
Karg, C., Schuler, R. Structure in average case complexity. In Algorithms and Computations: 6th International Symposium, ISAAC ’95 Cairns, (eds. Staples, J., Eades, P., Katoh, N., Moffat, A.): 62–71. Springer-Verlag, Heidelberg, (1995).
Kestler, H. A., 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: 46–49. IEEE, (1995).
Schwenker, F., Kestler, H. A., Palm, G. A Comparison of LVQ and RBF Networks for Classification and Data Clustering. In Proceedings of the 6th Microcomputer School: 646–651. (1994).
Schwenker, F., Kestler, H. A., 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: 646–651. IEEE, (1994).
Arvind, V., Köbler, J., Schuler, R. On helping and interactive proof systems. In Algorithms and Computation: 5th International Symposium, ISAAC ’94, (eds. Du, D.-Z., Zhang, X.-S.): 137–145. Springer-Verlag, Heidelberg, (1994).
Schuler, R., Yamakami, T. Structural average case complexity. In Foundations of Software Technology and Theoretical Computer Science: 12th Conference, (ed. Shyamasundar, R.): 128–139. Springer-Verlag, Heidelberg, (1992).
Völkel, G., Maucher, M., Müssel, C., Schöning, U., Kestler, H. A. Information Theoretic Measures for Ant Colony Optimization. In Analysis of Large and Complex Data, (eds. Wilhelm, A. F. X., Kestler, H. A.), 519–530. Springer-Verlag, Heidelberg, 2016.
Schirra, L. R., Lausser, L., Kestler, H. A. Selection Stability as a Means of Biomarker Discovery in Classification. In Analysis of Large and Complex Data, (eds. Wilhelm, A. F. X., Kestler, H. A.), 79–89. Springer-Verlag, Heidelberg, 2016.
Dünkler, A., Rösler, R., Kestler, H. A., Moreno-Andrés, D., Johnsson, N. SPLIFF: A Single-Cell Method to Map Protein-Protein Interactions in Time and Space. In Single Cell Protein Analysis, vol 1346, (eds. Singh, A. K., Chandrasekaran, A.), 151–168. Springer Science+Business Media, New York, 2015.
Kühl, M., Kracher, B., Groß, A., Kestler, H. A. Mathematical Models of Wnt Signaling Pathways. In Wnt Signaling in Development and Disease: Molecular Mechanisms and Biological Functions, (eds. Hoppler, S., Moon, R. T.), 153–160. Wiley Blackwell, New Jersey, 2014.
Wawra, C., Kühl, M., Kestler, H. A. Boolean networks for modelling gene regulation. In Mathematical Analysis of Evolution, Information, and Complexity, (eds. Arendt, W., Schleich, W. P.), 157–180. Wiley-VCH, Weinheim, 2009.
List, B., Maucher, M., Schöning, U., Schuler, R. QuickSort from an information-theoretic view. In Mathematical analysis of evolution, information, and complexity, (eds. Arendt, W., Schleich, W.), 455–464. Wiley-VCH, Weinheim, 2009.
Lausser, L., Schwenker, F., Kestler, H. A. Boosting ensembles of weak classifiers. In high dimensional input spaces in Mathematical Analysis of Evolution, Information, and Complexity, (eds. Arendt, W., Schleich, W. P.), 311–332. Wiley-VCH, Weinheim 2009.
Kraus, J. M., Palm, G., Schwenker, F., Kestler, H. A. Semi-supervised clustering in functional genomics. In Mathematical Analysis of Evolution, Information, and Complexity, (eds. Arendt, W., Schleich, W. P.), 243–271. Wiley-VCH, Weinheim 2009.
Balser, W., Röscheisen, C., Steiner, F., Sträng, J. E. Solutions of systems of linear ordinary differential equations. In Mathematical Analysis of Evolution, Information, and Complexity, (eds. Arendt, W., Schleich, W. P.), 73-95. Wiley-Verlag, Weinheim, 2009.
Kestler, H. A., Schuler, R., Müller, A., Buchholz, M., Schwenker, F., Palm, G., Gress, T. M. Bioinformatic methods for microarray data analysis pancreatic cancer. In Exocrine pancreas cancer: The European Pancreatic Cancer-Research Cooperative (EPC-RC), (eds. Gress, T. M., Neoptolemos, J., Lemoine, N. R., Real, F. X.), 228–241. Solvay Pharmaceuticals, 2005.
Buchholz, M., Kestler, H. A., Bauer, A., Hoheisel, J. D., Gress, T. M. Development of diagnostic arrays for the differential diagnosis of a pancreatic mass. In Exocrine pancreas cancer: The European Pancreatic Cancer-Research Cooperative (EPC-RC), (eds. Gress, T. M., Neoptolemos, J., Lemoine, N. R., Real, F. X.), 394–401. Solvay Pharmaceuticals, 2005.
Schwenker, F., Kestler, H. A., Palm, G.Unsupervised and supervised learning in radial-basis-function networks. In Self-Organizing Neural Networks, (ed. Seiffert, U.), 217–243. Physica-Verlag, Heidelberg, 2002.
Schwenker, F., Kestler, H. A., Palm, G. Algorithms for the visualization of large and multivariate data sets. In Self-Organizing Neural Networks, (ed. Seiffert, U.), 165–183. Physica-Verlag, Heidelberg 2002.
Mattfeldt, T., Gottfried, H.-W., Burger, M., Kestler, H. A. Classification of Prostatic Cancer Using Artificial Neural Networks. In Fractals in Biology and Medicine, Volume III, (eds. Losa, G. A., Merlini, D., Nonnenmacher, T. F., Weibel, E. R.), 101–111. Birkhäuser, Basel, 2002.
Schwenker, F., Kestler, H. A. 3D Visual Object Classification with Hierarchical Radial Basis Function Networks. In Radial Basis Function Networks 2, (eds. Howlett, R. J., Jain, L. C.), 269–293. Physica-Verlag, Heidelberg, 2001.
Kestler, H. A., Schwenker, F. RBF Network Classification of ECGs as a Potential Marker for Sudden Cardiac Death. In Radial Basis Function Networks 2, (eds. Howlett, R. J., Jain, L. C.), 167–214. Physica-Verlag, Heidelberg, 2001.
Hombach, V., Osterhüs, H.-H., Schleß, B., Kochs, M., Kestler, H. A., Höher, M. QT Dispersion: Definition, Methodology, and Clinical Relevance. In Myocardial Repolarization: From Gene to Bedside, (eds. Oto, A., Breithardt, G.), 187–209. Futura Publishing Co., Armonk, 2001.
Kestler, H. A., Schwenker, F., Palm, G., Wöhrle, J., Höher, M. Neural Classification in High-Resolution ECG Signal Processing. In Advances in Noninvasive Electrocardiographic Monitoring Techniques, (eds. Osterhüs, H.-H., Hombach, V., Moss, A. J.), 441–452. Kluwer Academic Publishers, Dordrecht, 2000.
Höher, M., Bauer, S., Kestler, H. A. Detection of QRS-Variability. In Advances in Noninvasive Electrocardiographic Monitoring Techniques, (eds. Osterhüs, H.-H., Hombach, V., Moss, A. J.), 109–119. Kluwer Academic Publishers, Dordrecht, 2000.
Kestler, H. A. Lexikon der Neurowissenschaft. Spektrum Akademischer Verlag, Heidelberg, 2000. Coauthor.
Hombach, V., Kestler, H. A., Osterhüs, H. H., Scharf, B., Kochs, M., Höher, M. A Modern Approach to Risk Stratification in Patients with Structural Heart Disease. In Lecture Notes of the ICB Seminars 38: High–resolution Electro- and Magnetocardiography, (eds. Katila, T., Maniewski, R.), 126–136. Polish Academy of Sciences, 1998.
Schwenker, F., He, J., Kestler, H. A., Littman, E., Schieszl, S., Palm, G. Anwendungen neuronaler Netze. In Finanzmarktanalyse und -prognose mit innovativen quantitativen Verfahren, (eds. Bol, G., Nakhaeizadeh, G., Vollmer, K.-H.), 35–70. Physica-Verlag, Heidelberg, 1996.
Kestler, H. A. Kybernetik. In Wörterbuch der Kognitionswissenschaft. Klett-Cotta, Stuttgart, 1995. Coauthor.
Fürstberger, A., Lausser, L., Kraus, J. M., Schmid, M., Kestler, H. A. (eds.). Statistical Computing 2016, Abstracts der 47. Arbeitstagung der Arbeitsgruppen Statistical Computing (GMDS/IBS- DR), Klassifikation und Datenanalyse in den Biowissenschaften (GfKl). Schloss Reisensburg (Günzburg). Ulmer Informatikberichte 2016/04 (2016).
Fürstberger, A., Lausser, L., Kraus, J. M., Schmid, M., Kestler, H. A. (eds.). Statistical Computing 2015, Abstracts der 47. Arbeitstagung der Arbeitsgruppen Statistical Computing (GMDS/IBS- DR), Klassifikation und Datenanalyse in den Biowissenschaften (GfKl), Schloss Reisensburg (Günzburg). Ulmer Informatikberichte 2015/04 (2015).
Kestler, H. A., Schmid, M., Lausser, L., Kraus, J. M. (eds.). Statistical Computing 2014, Abstracts der 46. Arbeitstagung der Arbeitsgruppen Statistical Computing (GMDS/IBS-DR), Klassifikation und Datenanalyse in den Biowissenschaften (GfKl). Schloss Reisensburg (Günzburg). Ulmer Informatikberichte 2014/04 (2014).
Kestler, H. A. Systemrelevant: Alterung von Stammzellen. In Das SyStaR-Projekt an der Universität Ulm 6: 53–56, (2013).
Kraus, J. M., Burkovski, A., Kestler, H. A. Aggregating diverse high-throughput data for the identification of common differences between young and old. V. Else Kröner-Fresenius Symposium on Adult Stem Cells in Aging, Diseases, and Cancer, Eisenach, (2013).
Kestler, H. A., Schmid, M., Schmid, F., Maucher, M. Statistical Computing 2013, Abstracts der 45. Arbeitstagung der Arbeitsgruppen Statistical Computing. Ulmer Informatikberichte 2012/07, (2013).
Kestler, H.A., Binder, H., Schmid, M., Kraus, J.M. Statistical Computing 2012, Abstracts der 44. Arbeitstagung der Arbeitsgruppen Statistical Computing. Ulmer Informatikberichte 2012/02, (2012).
Kestler, H. A. Book review: Medizinische Statistik (ed. Harms, V.). Harms Verlag, Lindhöft, 2012. Zeitschrift für Gastroenterologie 50, 987, (2012).
Kestler, H. A., Binder, H., Schmid, M., Leisch, F., Kraus, J. M. Statistical Computing 2011, Abstracts der 43. Arbeitstagung der Arbeitsgruppen Statistical Computing. Ulmer Informatikberichte 2011/04, (2011).
Kestler, H. A., Binder, H., Lausen,B., Klenk, H.-P., Schmid, M., Leisch, F. Statistical Computing 2010, Abstracts der 42. Arbeitstagung Statistical Computing. Ulmer Informatikberichte 2010/05, (2010).
Zhou, D., Müssel, C., Lausser, L., Hopfensitz, M., Kühl, M., Kestler, H. A. Boolean networks for modeling and analysis of gene regulation. Ulmer Informatikberichte 2009/10, (2009).
Kestler, H. A., Lausen, B., Binder, H., Klenk, H.-P., Leisch, F., Schmid, M. Statistical Computing 2009, Abstracts der 41. Arbeitstagung Statistical Computing. Ulmer Informatik-Berichte 2009/07, (2009).
Maucher, M., Schöning, U., Kestler, H. A. On the different notions of pseudorandomness. Ulmer Informatik-Berichte 2008/11, (2008).
Maucher, M., Schöning, U., Kestler, H. A. An empirical assessment of local and population based search methods with different degrees of pseudorandomness. Ulmer Informatik-Berichte 2008/07, (2008).
Kestler, H. A., Messner, J., Müller, A., Schuler, R. On the complexity of intersecting multiple circles for graphical display. Ulmer Informatik-Berichte 2008/01, (2008).
Kestler, H. A., Müller, A., Liu, H., Kane, D. W., Zeeberg, B. W., Weinstein, J. N. Euler diagrams for visualizing annotated gene expression data. In Euler Diagrams 2005, (eds. Verroust-Blondet, A., Viaud, M.-L.): 1–4. INRIA, INA, 2005.
Köbler, J., Schuler, R. Average-case intractability vs. worst-case intractability. Information and Computation 190, 1–17, (2004).
Kestler, H. A., Schwenker, F., Palm, G. RBF network classification of ECGs as a potential marker for sudden cardiac death. Ulmer Informatik-Bereichte, (2003).
Grebe, O., Eberele, C., Kestler, H. A., Kochs, M., Hombach, V., Höher, M. Steady state free precession imaging for the evaluation of left ventricular function - Reference values and comparison to routine laevocardiography. ESC: Euro CMR Abstract Book:19, (2002).
Schwenker, F., Kestler, H. A., Palm, G. 3D Visual Object Classification with Hierarchical Radial Basis Function Networks. Ulmer Informatik-Berichte 2001/02, (2001).
Kestler, H. A. Annual Review of Biomedical Engineering Volume 1, 1999. Medical, Biological Engineering, Computing N14–N16, (2000).
Simon, S., Kestler, H. A., Baune, A., Schwenker, F., Palm, G. Werkzeuge zur visuellen Objektklassifikation. Ulmer SFB 527 Reports 1999/3, (1999).
Kestler, H. A. Per(l)formance Evaluation of Classifiers – Using Perl for Simulation. In GMD Report 49: Erster Deutscher Perl-Workshop 1.0, (ed. Christoffel, J.), GMD – Forschungszentrum Informationstechnik GmbH, (1999).
Kestler, H. A. Calculation and Display of Confidence Bounds for Receiver Operator Characteristics. Methods Inf Med 38, 74, (1999).
Baune, A., Simon, S., Kestler, H. A., Schwenker, F., Palm, G. Implementierungsaspekte der Objektklassifikation unter SMARTSOFT. Ulmer SFB 527 Reports 1999/10, (1999).
Kestler, H. A., Borst, M., Neumann, H. Einfache Handgestikerkennung mit einem zweistufigen Nearest–neighbour Klassifikator. Ulmer SFB 527 Reports 1999/6, (1999).
Kestler, H. A., Mayer, G., Neumann, H. Ansätze der Clusterbasierten Objektverfolgung auf einem mobilen Roboter. Ulmer SFB 527 Reports 1999/5, (1999).
Kestler, H. A., Schwenker, F., Palm, G., Hombach, V., Höher, M. Neuronale Netze zur Visualisierung und Klassifikation - Anwendung auf hochverstärkte EKG Signale. In Medizinische Informatik, Biometrie und Epidemiologie - GMDS 97, (eds. Muche, R., Büchele, G., Harder, D., Gaus, W.): 90–95, MMV Medizin Verlag, München, (1997).
Höher, M., Kestler, H. A., Hombach, V. Frequency and Wavelet Analysis of the Signal-Averaged Surface Electrocardiogram. Annals of Noninvasive Electrocardiology 1: 261–263, (1996).
Schuler, R. Some properties of sets tractable under every polynomial-time computable distribution. Inform Process Lett 55: 179–184, (1995).
Höher, M., Kestler, H. A., Hombach, V. Special computerized evaluation of high resolution electrocardiograms for risk stratification - Neural network analysis. New Trends Arrhythm 9: 859–864, (1993).
Kestler, H. A. Numerische Lösung dynamischer Optimierungsaufgaben mittels Algorithmen der nichtlinearen Programmierung. Lehrstuhl für Steuerungs- und Regelungstechnik, Technische Universität München, 1989.
Schöning, U., Schuler, R. Renamable-Horn clauses and unit resolution. Universität Koblenz/Landau. 1989.
Wissenschaftlicher Mitarbeiter (m/w/d)
Our paper "Boolean network modeling and its integration with experimental read-outs: An interdiscipliary presentation using a leukemia model" has been published online first in Pathologie.
"Combined analysis of a serum mRNA/miRNA marker signature and CA 19-9 for timely and accurate diagnosis of recurrence after resection of pancreatic ductal adenocarcinoma: A prospective multicenter cohort study" has been published online first in the United European Gastroenterology Journal.
"Identifications of Similarity Metrics for Patients With Cancer: Protocol for a Scoping Review" has been published in JMIR Research Protocols.
"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.