Medical Systems Biology

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Publications1

 

Books

 

U. Schöning and H. A. Kestler. Mathe–Toolbox – Mathematische Notationen, Grundbegriffe und Beweismethoden. Lehmanns Media, 1st ed. 2010, 2nd ed. 2012.

 

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

 


 

Original Articles

 

K. J. Gaulton, T. Ferreira, Y. Lee, A. Raimondo, R. Magi, M. E. Reschen, A. Mahajan, A. Locke, R. N. William, N. Robertson, R. A. Scott, I. Prokopenko, L. J. Scott, T. Green, T. Sparso, D. Thuillier, L. Yengo, H. Grallert, S. Wahl, M. Franberg R. J. Strawbridge, H. A. Kestler, H. Chheda, L. Eisele, S. Gustafsson, V. Steinthorsdottir, G. Thorleifsson, L. Qi, K. C. Lennart, E. M. van Leeuwen, et al. Genetic fine mapping and genomic annotation defines causal mechanisms at type 2 diabetes susceptibility loci. Nature Genetics, 47(12):1415-1425, 2015.

 

K. Reichwald, A. Petzold, P. Koch, B. R. Downie, N. Hartmann, S. Pietsch, M. Baumgart, D. Chalopin, M. Felder, M. Bens, A. Sahm, K. Szafranski, S. Taudien, M. Groth, I. Arisi, A. Weise, S. S. Bhatt, V. Sharma, J. M. Kraus, F. Schmid, S. Priebe, T. Liehr, M. Görlach, M. E. Than, M. Hiller, H. A. Kestler, J.-N. Volff, M. Schartl, A. Cellerino, C. Englert, M. Platzer. Insights into sex chromosome evolution and aging from the genome of a short-lived fish. Cell, 163(6):1527-1538, 2015.

 

K. Hein, G. Mittler, W. Cizelsky, M. Kühl, F. Ferrante, R. Liefke, I. M. Berger, S. Just, J. E. Sträng, H. A. Kestler, F. Oswald, T. Borggrefe. Site-specific methylation of Notch1 controls the amplitude and duration of the Notch1 response. Sience Signaling, 8(369):pp. ra30, 2015.

 

J. K. Meena, A. Cerutti, C. Beichler, Y. Morita, C. Bruhn, M. Kumar, J. M. Kraus, M. R. Speicher, Z.‐Q. Wang, H. A. Kestler, F. d'Adda di Fagagna, C. Günes, K. L. Rudolph. Telomerase abrogates aneuploidy-induced telomere replication stress, senescence and cell depletion. The EMBO Journal, 34(10):1371-1384, 2015.

 

S. Tao, D. Tang, Y. Morita, T. Sperka, O. Omrani, A. Lechel, V. Sakk, J. M. Kraus, H. A. Kestler, M. Kühl, K. L. Rudolph. Wnt activity and basal niche position sensitize intestinal stem and progenitor cells to DNA damage. The EMBO Journal, 34(5):624-640, 2015.

 

M. Dahlhaus, A. Burkovski, F. Hertwig, C. Müssel, R. Volland, M. Fischer, K.-M. Debatin, H. A. Kestler, C. Beltinger. Boolean modeling identifies Greatwall/MASTL as an important regulator in the AURKA network of neuroblastoma. Cancer Letters, 2015, In press.

 

C. Müssel, F. Schmid, T. J. Blätte, M. Hopfensitz, L. Lausser, H. A. Kestler. BiTrinA-multiscale binarization and trinarization with quality analysis. Bioinformatics, 2015. Epub ahead of print.

 

A. Naldi, P. T. Monteiro, C. Müssel, the Consortium for Logical Models and Tools, H. A. Kestler, D. Thieffry, I. Xenarios, J. Saez-Rodriguez, T. Helikar, C. Chaouiya. Cooperative development of logical modelling standards and tools with CoLoMoTo. Bioinformatics, 31(7):1154-1159, 2015.

 

A. Fürstberger, M. MaucherH. A. Kestler. Extended pairwise local alignment of wild card DNA/RNA sequences using dynamic programming. Journal of Statistical Computation and Simulation, 85(1):3–13, 2015.

L. Lausser, F. Schmidt, M. Platzer, M. J. Sillanpää H. A. Kestler. Semantic multi-classifier systems for the analysis of gene expression profiles. Archives of Data Science Series A (Online First), 1(1), 2014.

 

N. Azoitei, K. Diepold, C. Brunner, A. Rouhi, F. Genze, A. Becher, H. A. Kestler, J. van Lint, G. Chiosis, J. Koren, S. Froehling, C. Scholl, T. Seufferlein. HSP90 supports tumor growth and angiogenesis through PRKD2 protein stabilization. Cancer Research, 74(23):7125–7136, 2014.

 

O. G. Gonzalez, R. Assfalg, S. Koch, A. Schelling, J. K. Meena, J. Kraus, A. Lechel, S.-F. Katz, V. Benes, K. Scharffetter-Kochanek, H. A. Kestler, C. Günes, S. Iben. Telomerase stimulates ribosomal DNA transcription under hyperproliferative conditions. Nature Communications, 5(4599), 2014.

 

J. Kraus, L. Lausser and H. A. Kestler. Exhaustive k-nearest-neighbour subspace clustering. Journal of Statistical Computation and Simulation, 85(1):30–46, 2014.

 

L. Lausser, C. Müssel, A. Melkozerov, H. A. Kestler. Identifying predictive hubs to condense the training set of k-nearest neighbour classifiers. Computational Statistics, 29(1-2):81-95, 2014.

 

L. Lausser, F. Schmid, M. Schmid, H. A. Kestler. Unlabeling data can improve classification accuracy. Pattern Recognition Letters, 37:15-23, 2014.

 

M. Maucher, D. V. Kracht, S. Schober, M. Bossert, H. A. Kestler. Inferring Boolean functions via higher-order correlations. Computational Statistics, 29(1-2):97-115, 2014.

 

M. Schmid, H. A. Kestler, S. Potapov. On the validity of time-dependent AUC estimators. Briefings in Bioinformatics, 16(1):153-168, 2015.

 

M. Hopfensitz, C. Müssel, M. Maucher, H. A. Kestler. Attractors in Boolean networks – a tutorial. Computational Statistics, 28(1):19–36, 2013.

 

L. Lausser, C. Müssel, M. MaucherH. A. Kestler. Measuring and visualizing the stability of biomarker selection techniques. Computational Statistics, 28(1):51–65, 2013.

 

M. Schels, S. Scherer, M. Glodek, H. A. Kestler, G. Palm, F. Schwenker. On the discovery of events in EEG data utilizing information fusion. Computational Statistics, 28(1):5–18, 2013.

 

D. Moreno, J. Neller, H. A. Kestler, J. Kraus, A. Dünkler, and N. Johnsson. A fluorescent reporter for mapping cellular protein-protein interactions in time and space. Molecular Systems Biology, 9:647, 2013.

 

F. Herrmann, A. Groß, D. Zhou, H. A. Kestler, M. Kühl. A Boolean model of the cardiac gene regulatory network determining first and second heart field identity. PLOS ONE, 7(10):e46798, 2012.

 

A. Kleger, P. U. Mahaddalkar, S. Katz, A. Lechel, J. Y. Joo, K. Loya, Q. Lin, D. Hartmann, S. Liebau, J. M. Kraus, T. Cantz, H. A. Kestler, H. Zaehres, H. Schöler, K. L. Rudolph. Increased reprogramming capacity of mouse liver progenitor cells, compared with differentiated liver cells, requires the BAF complex. Gastroenterology, 142(4):907–917, 2012.

 

N. Azoitei, C. M. Hoffmann, J. M. Ellegast, C. R. Ball, K. Obermayer, U. Gößele, B. Koch, K. Faber, F. Genze, M. Schrader, H. A. Kestler, H. Döhner, G. Chiosis, H. Glimm, S. Fröhling, C. Scholl. Targeting of KRAS mutant tumors by HSP90 inhibitors involves degradation of STK33. J Exp Med, 209(4):697–711, 2012.

 

D. Krndija, C. Münzberg, U. Maass, M. Hafner, G. Adler, H. A. Kestler, T. Seufferlein, F. Oswald, G. von Wichert. The phosphatase of regenerating liver 3 (PRL-3) promotes cell migration via Arf-activity dependent stimulation of integrin alpha5 recycling. J Cell Sci, 125(16):3883–3892, 2012.

 

Y. Begus-Nahrmann, D. Hartmann, J. Kraus, P. Eshraghi, A. Scheffold, M. Grieb, V. Rasche, P. Schirmacher, H.-W. Lee, H. A. Kestler, A. Lechel, K. L. Rudolph. Transient telomere dysfunction induces chromosomal instability and promotes carcinogenesis. The Journal of Clinical Investigation, 122(6):2283–2288, 2012.

 

C. Gradinaru, J. M. Lopacinska, J. Huth, H. A. Kestler, H. Flyvbjerg, K. Mølhave. Assessment of automated analyses of cell migration on flat and nanostructured surfaces. Computational and Structural Biotechnology Journal, 1(2):e201207004, 2012.

 

T. M. Gress, H. A. Kestler, L. Lausser, L. Fiedler, B. Sipos, C. W. Michalski, J. Werner, N. Giese, A. Scarpa, M. Buchholz. Differentiation of multiple types of pancreatico-biliary tumors by molecular analysis of clinical specimens. J Mol Med (Berl), 90(4):457–464, 2012. TMG, HAK equal contribution.

 

M. Hopfensitz, C. Müssel, C. Wawra, M. Maucher, M. Kühl, H. Neumann, H. A. Kestler. Multiscale binarization of gene expression data for reconstructing Boolean networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 9(2):487–498, 2012.

 

S. Katz, A. Lechel, A. C. Obenauf, Y. Begus-Nahrmann, J. Kraus, E. M. Hoffmann, J. Duda, P. Eshraghi, D. Hartmann, B. Liss, P. Schirmacher, H. A. Kestler, M. R. Speicher, K. L. Rudolph. Disruption of trp53 in livers of mice induces formation of carcinomas with bilineal differentiation. Gastroenterology, 142(5):1229–1239.e3, 2012.

 

C. Müssel, L. Lausser, M. MaucherH. A. Kestler. Multi-Objective parameter selection for classifiers. Journal of Statistical Software, 46(5):1–27, 2012.

 

K. Radulovic, C. Manta, V. Rossini, K. Holzmann, H. A. Kestler, U. M. Wegenka, T. Nakayama, J. H. Niess. CD69 regulates type i IFN-induced tolerogenic signals to mucosal CD4 t cells that attenuate their colitogenic potential. Journal of Immunology, 188(4):2001–2013, 2012.

 

J. Wang, Q. Sun, Y. Morita, H. Jiang, A. Groß, A. Lechel, K. Hildner, L. M. Guachalla, A. Gompf, D. Hartmann, A. Schambach, T. Wuestefeld, D. Dauch, H. Schrezenmeier, W. Hofmann, H. Nakauchi, Z. Ju, H. A. Kestler, L. Zender, K. L. Rudolph. A Differentiation Checkpoint Limits Hematopoietic Stem Cell Self-Renewal in Response to DNA Damage. Cell, 148(5):1001–1014, 2012. Supplementary information.

 

M. Watabe-Rudolph, Z. Song, L. Lausser, C. Schnack, Y. Begus-Nahrmann, M. Scheithauer, G. Rettinger, M. Otto, H. Tumani, D. R. Thal, J. Attems, K. A. Jellinger, H. A. Kestler, C. A. F. von Arnim, K. L. Rudolph. Chitinase enzyme activity in CSF is a powerful biomarker of alzheimer disease. Neurology, 78(8):569–577, 2012. HAK is corresponding author.

A. M. Zickler, S. Hampp, L. Messiaen, K. Bengesser, T. Mussotter, A. C. Roehl, K. Wimmer, V. F. Mautner, L. Kluwe, M. Upadhyaya, F. Pasmant, N. Chuzhanova, H. A. Kestler, J. Högel, E. Legius, K. Claes, D. N. Cooper, H. Kehrer-Sawatzki. Characterization of the nonallelic homologous recombination hotspot PRS3 associated with type-3 NF1 deletions. Hum Mutat, 33(2):372–383, 2012.

 

J. Huth, M. Buchholz, J. M. Kraus, K. Molhave, C. Gradinaru, G. von Wichert, T. M. Gress, H. Neumann, H. A. Kestler. TimeLapseAnalyzer: multi-target analysis for live-cell imaging and time-lapse microscopy. Comput Methods Programs Biomed, 104(2):227–34, 2011.

 

H. A. Kestler and M. Kühl. Generating a Wnt switch: it's all about the right dosage. J Cell Biol, 193(3):431–3, 2011.

 

H. A. Kestler, L. Lausser, W. Lindner, G. Palm. On the fusion of threshold classifiers for categorization and dimensionality reduction. Computational Statistics, 26(2):321–340, 2011.

 

J. M. Kraus, C. Müssel, G. Palm, H. A. Kestler. Multi-objective selection for collecting cluster alternatives. Computational Statistics, 26(2):341–353, 2011.

 

M. Maucher, B. Kracher, M. Kühl, H. A. Kestler. Inferring Boolean network structure via correlation. Bioinformatics, 27(11):1529–36, 2011.

 

M. Maucher, U. Schöning, H. A. Kestler. Search heuristics and the influence of non-perfect randomness - Examining Genetic Algorithms and Simulated Annealing. Computational Statistics, 26(2):303–319, 2011.

L.-H. Meyer, S. M. Eckhoff, M. Queudeville, J. M. Kraus, M. Giordan, J. Stursberg, A. Zangrando, E. Vendramini, A. Moericke, M. Zimmermann, A. Schrauder, G. Lahr, K. Holzmann, M. Schrappe, G. Basso, K. Stahnke, H. A. Kestler, G. te Kronnie, K.-M. Debatin. Early Relapse in 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. LHM, SME, KS, HAK, GtK contributed equally.

 

A. C. Russ, S. Sander, S. C. Lück, K. M. Lang, M. Bauer, F. G. Rücker, H. A. Kestler, R. F. Schlenk, H. Döhner, K. Holzmann, K. Döhner, L. Bullinger. Integrative nucleophosmin mutation-associated microRNA and gene expression pattern analysis identifies novel microRNA - target gene interactions in acute myeloid leukemia. Haematologica, 96(12):1783–91, 2011.

 

M. Chevillotte, J. von Einem, B. M. Meier, F. M. Lin, H. A. Kestler, T. Mertens. A new tool linking human cytomegalovirus drug resistance mutations to resistance phenotypes. Antiviral Res., 85:318–327, 2010. HAK and TM are corresponding authors.

 

J. Huth, M. Buchholz, J. M. Kraus, M. Schmucker, G. von Wichert, D. Krndija, T. Seufferlein, T. M. Gress, H. A. Kestler. 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.

 

M. Juchems, A. Römpp, H. A. Kestler, A. Ernst, H.-J. Brambs, G. Adler, A. Aschoff, M. Wagner. CT-Kolonographie versus Videokoloskopie zum Nachweis kolorektaler Läsionen in der Vorsorgepopulation. Dtsch Med Wochenschr, 135(34-35):1656–1661, 2010.

 

J. M. Kraus and H. A. Kestler. A highly efficient multi-core algorithm for clustering extremely large datasets. BMC Bioinformatics, 11(1):169, 2010.

 

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

 

Z. Song, G. von Figura, Y. Liu, J. M. Kraus, C. Torrice, P. Dillon, M. Rudolph-Watabe, Z. Ju, H. A. Kestler, H. Sanoff, K. L. Rudolph. 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. HAK and KLR are corresponding authors.

 

S. L. Stephen, E. Montini, V. G. Sivanandam, M. Al-Dhalimy, H. A. Kestler, M. Finegold, M. Grompe, S. Kochanek. Chromosomal integration of adenoviral vector dna in vivo. J Virol, 84(19):833–838, 2010.

 

Y. Begus-Nahrmann, A. Lechel, A. C. Obenauf, K. Nalapareddy, E. Peit, E. Hoffmann, F. Schlaudraff, B. Liss, P. Schirmacher, H. A. Kestler, E. Danenberg, N. Barker, H. Clevers, M. R. Speicher, K. L. Rudolph. p53 deletion impairs clearance of chromosomal-instable stem cells in aging telomere-dysfunctional mice. Nat Genet., 41(10):1138–43, 2009.

 

V. Hombach, N. Merkle, J. Torzewski, J. M. Kraus, M. Kunze, O. Zimmermann, H. A. Kestler, J. Wöhrle. 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):1110–25, 2009. HAK and JW are both senior authors.

 

C. Schwaenen, A. Viardot, H. Berger, T. F. Barth, S. Bentink, H. Döhner, M. Enz, A. C. Feller, M. L. Hansmann, M. Hummel, H. A. Kestler, W. Klapper, M. Kreuz, D. Lenze, M. Loeffler, P. Möller, H. K. Müller-Hermelink, G. Ott, M. Rosolowski, A. Rosenwald, S. Ruf, R. Siebert, R. Spang, H. Stein, L. Truemper, P. Lichter, M. Bentz, S. Wessendorf. 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.

 

V. Hombach, N. Merkle, H. A. Kestler, J. Torzewski, M. Kochs, N. Marx, T. Nusser, C. Burgstahler, V. Rasche, P. Bernhardt, M. Kunze, J. Wöhrle. Characterization of patients with acute chest pain using cardiac magnetic resonance imaging. Clinical Research in Cardiology, 97(10):760–767, 2008.

 

H. A. Kestler, A. Müller, J. M. Kraus, M. Buchholz, T. M. Gress, H. Liu, D. W. Kane, B. R. Zeeberg, J. N. Weinstein. VennMaster: Area-proportional Euler diagrams for functional GO analysis of microarrays. BMC Bioinformatics, 9(1):67, 2008.

 

S. Sander, L. Bullinger, K. Klapproth, K. Fiedler, H. A. Kestler, T. F. Barth, P. Moller, S. Stilgenbauer, J. R. Pollack, T. Wirth. MYC stimulates EZH2 expression by repression of its negative regulator miR-26a. Blood, 112:4202–4212, 2008.

 

E. Sträng. Localization of quantum wave packets. Journal of Physics A: Mathematical and Theoretical, 41(3):035307, 2008.

 

J. Wöhrle, N. Marx, W. Koenig, V. Hombach, H. A. Kestler, M. Höher, T. Nusser. Impact of pioglitazone on coronary endothelial function in non-diabetic patients with coronary artery disease. Clinical Research in Cardiology, 97(10):726–733, 2008.

 

R. Anton, H. A. Kestler, M. Kühl. Beta-catenin signaling contributes to stemness and regulates early differentiation in murine embryonic stem cells. FEBS Letters, 581(27):5247–54, 2007.

 

T. F. E. Barth, C. A. Barth, H. A. Kestler, P. Michl, M. A. Weniger, M. Buchholz, P. Möller, T. Gress. Transcriptional profiling suggests that secondary and primary large B-cell lymphomas of the gastrointestinal (GI) tract are blastic variants of GI marginal zone lymphoma. The Journal of Pathology, 211(3):305–313, 2007. TFEB, CAB and HAK contributed equally.

 

H. Fensterer, B. Radlwimmer, J. Sträter, M. Buchholz, D. E. Aust, C. Julié, F. Radvanyi, B. Nordlinger, C. Belluco, E. Van Cutsem, C.-H. Köhne, H. A. Kestler, C. Schwaenen, M. Nessling, M. P. Lutz, P. Lichter, T. M. Gress, and the EORTC Gastrointestinal (GI) Group. Matrix-comparative genomic hybridization from multicenter formalin-fixed paraffin-embedded colorectal cancer tissue blocks. BMC Cancer, 7:58, 2007.

 

N. Merkle, J. Wöhrle, O. C. Grebe, T. Nusser, M. Kunze, H. A. Kestler, M. Kochs, and V. Hombach. 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.

 

A. Müller, K.-H. Holzmann, H. A. Kestler. Visualization of genomic aberrations using Affymetrix SNP arrays. Bioinformatics, 23(4):496–7, 2007.

 

C. Wawra, M. Kühl, H. A. Kestler. Extended analyses of the Wnt/beta-catenin pathway: Robustness and oscillatory behaviour. FEBS Lett, 581/21:4043–4048, 2007.

 

S. Wessendorf, T. F. E. Barth, A. Viardot, A. Müller, H. A. Kestler, H. Kohlhammer, P. Lichter, M. Bentz, H. Döhner, P. Möller, C. Schwaenen. 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):2463–9, 2007.

 

J. Wöhrle, T. Nusser, H. A. Kestler, M. Kochs, V. Hombach. Comparison of the slow-release polymerbased paclitaxel-eluting Taxus-Express stent with the bare-metal Express stent for saphenous vein graft interventions. Clinical Research in Cardiology, 96(2):70–76, 2007.

 

J. Wöhrle, T. Nusser, B. J. Krause, M. Kochs, T. Habig, F. M. Mottaghy, H. A. Kestler, V. Hombach. 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):185–91, 2007.

 

M. Fischer, Q. Thai, M. Grieb, J. Pleiss. Dwarf - a data warehouse system for analyzing protein families. BMC Bioinformatics, 7(1):495, 2006.

 

T. Nusser, M. Höher, N. Merkle, O. Grebe, J. Spiess, H. A. Kestler, V. Rasche, M. Kochs, V. Hombach, J. Wöhrle. Cardiac Magnetic Resonance Imaging and Transesophageal Echocardiography in Patients With Transcatheter Closure of Patent Foramen Ovale. Journal of the American College of Cardiology, 48(2):322–329, 2006.

 

F. G. Rücker, L. Bullinger, C. Schwaenen, D. B. Lipka, S. Wessendorf, S. Fröhling, M. Bentz, S. Miller, C. Scholl, R. F. Schlenk, B. Radlwimmer, H. A. Kestler, J. R. Pollack, P. Lichter, K. Döhner, H. Döhner. 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.

 

J. Wöhrle, T. Nusser, N. Merkle, H. A. Kestler, O. C. Grebe, N. Marx, M. Höher, M. Kochs, V. Hombach. Myocardial Perfusion Reserve in Cardiovascular Magnetic Resonance: Correlation to Coronary Microvascular Dysfunction. Journal of Cardiovascular Magnetic Resonance, 8(6):781–787, 2006.

 

M. Buchholz, M. Braun, A. Heidenblut, H. A. Kestler, G. Klöppel, W. Schmiegel, S. A. Hahn, J. Lüttges, T. M. Gress. Transcriptome analysis of microdissected pancreatic intraepithelial neoplasitc lesions. Oncogene, 24(44):6626–36, 2005.

 

M. Buchholz, H. A. Kestler, A. Bauer, W. Böck, B. Rau, G. Leder, W. Kratzer, M. Bommer, A. Scarpa, M. K. Schilling, G. Adler, J. D. Hoheisel, T. M. Gress. Specialized DNA arrays for the differentiation of pancreatic tumors. Clin Cancer Res, 11(22):8048–54, 2005. HAK and MB contributed equally.

 

M. Buchholz, H. A. Kestler, K. Holzmann, V. Ellenrieder, W. Schneiderhan, M. Siech, G. Adler, M. G. Bachem, T. M. Gress. Transcriptome analysis of human hepatic and pancreatic stellate cells: organ-specific variations of a common transcriptional phenotype. J Molecular Medicine, 83(10):795–805, 2005. MB and HAK contributed equally.

 

V. Hombach, O. Grebe, N. Merkle, S. Waldenmaier, M. Hoher, M. Kochs, J. Wohrle, H. A. Kestler. 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.

 

S. Kempe and H. A. Kestler, A. Lasar, T. Wirth. 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):5308–19, 2005.

 

H. A. Kestler, A. Müller, T. M. Gress, M. Buchholz. Generalized Venn Diagrams: A new method of visualizing complex genetic set relations. Bioinformatics, 21(8):1592–5, 2005.

 

J. E. Sträng. On the characteristic exponents of Floquet solutions to the Mathieu equation. Acad. Roy. Belg. Bull. Cl. Sci. (6), 16(7-12):269–287, 2005.

 

J. E. Sträng and P. Östborn. Wave patterns in frequency-entrained oscillator lattices. Phys. Rev. E, 72:056137, 2005.

 

H. Fensterer, K. Giehl, M. Buchholz, V. Ellenrieder, A. Buck, H. A. Kestler, G. Adler, P. Gierschick, T. Gress. Expression Profiling of the Influence of RAS Mutants on the TGFB1-Induced Phenotype of the Pancreatic Cancer Cell Line PANC-1. Genes, Chromosomes and Cancer, 39:224–235, 2004.

 

K. Holzmann, H. Kohlhammer, C. Schwaenen, S. Wessendorf, H. A. Kestler, A. Schwoerer, B. Rau, B. Radlwimmer, H. Döhner, P. Lichter, T. Gress, M. Bentz. 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 Research, 46(13):4428–33, 2004.

 

H. Kohlhammer, C. Schwaenen, S. Wessendorf, K. Holzmann, H. A. Kestler, D. Kienle, T. F. Barth, P. Möller, G. Ott, J. Kalla, B. Radlwimmer, A. Pscherer, S. Stilgenbauer, H. Döhner, P. Lichter, M. Bentz. 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.

 

T. Mattfeldt, H. A. Kestler, H.-P. Sinn. Prediction of the axillary lymph node status in mammary cancer on the basis of clinicopathological data and flow cytometry. Medical & Biological Engineering & Computing, 42:733–739, 2004.

 

T. Mattfeldt, D. Trijic, H.-W. Gottfried, H. A. Kestler. Classification of incidental carcinoma of the prostate using learning vector quantization and support vector machines. Cellular Oncology, 26:45–55, 2004.

 

T. Mattfeldt, D. Trijic, H.-W. Gottfried, H. A. Kestler. Incidental carcinoma of the prostate: clinicopathological, stereological and immunohistochemical findings studied with logistic regression and self-organizing feature maps. BJU International, 93:284–290, 2004.

 

C. Schwaenen, M. Nessling, S. Wessendorf, T. Salvi, G. Wrobel, B. Radlwimmer, H. A. Kestler, C. Haslinger, S. Stilgenbauer, H. Döhner, M. Bentz, P. Lichter. 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.

 

J. Wöhrle, M. Kochs, C. Vollmer, H. A. Kestler, V. Hombach, M. Höher. Re-angioplasty of in-stent restenosis versus balloon restenoses–a matched pair comparison. Int J Cardiol, 93:257–62, 2004.

 

O. Grebe, I. Paetsch, H. A. Kestler, B. Herkommer, B. Schnackenburg, V. Hombach, E. Fleck, E. Nagel. Optimal acquisition parameters for contrast enhanced magnetic resonance imaging after chronic myocardial infarction. J Cardiovasc Magn Reson, 5:575–587, 2003.

 

T. Mattfeldt, H.-W. Gottfried, H. Wolter, V. Schmidt, H. A. Kestler, J. Mayer. Classification of Prostatic Carcinoma with Artificial Neural Networks Using Comparative Genomic Hybridization and Quantitative Stereological Data. Pathology Res Pract, 199:773–784, 2003.

 

F. Schwenker, C. Dietrich, H. A. Kestler, K. Riede, G. Palm. Radial Basis Function Neural Networks and Temporal Fusion for the Classification of Bioacoustic Time Series. Neurocomputing, 51:265–275, 2003.

 

J. Wöhrle, T. Nusser, A. Hoffmeister, H. A. Kestler, O. C. Grebe, M. Höher, W. Koenig, V. Hombach, M. Kochs. Einfluß von Molisdomin auf rheologische Parameter und das Auftreten kardiovaskulärer Ereignisse bei Patienten mit koronarer Herzkrankheit. Deutsche Medizinische Wochenschrift, 128:1333–1337, 2003.

 

T. Mattfeldt, H. Wolter, D. Trijic, H.-W. Gottfried, H. A. Kestler. Chromosomal regions in prostatic carcinomas studied by comparative genomic hybridization, hierarchical cluster analysis and self-organizing feature maps. Analytical Cellular Pathology, 24:167–179, 2002.

 

H. A. Kestler. ROC with confidence – a Perl program for receiver operator characteristic curves. Computer Methods and Programs in Biomedicine, 64(2):133–136, 2001.

 

T. Mattfeldt, H. A. Kestler, R. Hautmann, H.-W. Gottfried. Prediction of Postoperative Prostatic Cancer Stage on the Basis of Systematic Biopsies using Two Types of Artificial Neural Networks. European Urology, 39:530–537, 2001.

 

T. Mattfeldt, H. Wolter, R. Kemmerling, H.-W. Gottfried, H. A. Kestler. Cluster analysis of comparative genomic hybridization (CGH) data using self-organizing maps: Application to prostate carcinomas. Analytical Cellular Pathology, 23(1):29–37, 2001.

 

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

 

M. Haschka and H. A. Kestler. Warum sind Pfützen elliptisch. Der mathematische und naturwissenschaftliche Unterricht, 53(4):209–212, 2000.

 

H. A. Kestler, S. Sablatnög, S. Simon, S. Enderle, A. Baune, G. K. Kraetzschmer, F. Schwenker,  G. Palm. Concurrent Object Indentification and Localization for a Mobile Robot. Künstliche Intelligenz, (4):23–29, 2000.

 

H. A. Kestler, J. Wöhrle, M. Höher. Cardiac vulnerability assessment from electrical microvariability of the high-resolution electrocardiogram. Medical & Biological Engineering & Computing, 38:88–92, 2000.

 

T. Mattfeldt, H.-W. Gottfried, V. Schmidt, H. A. Kestler. Classification of spatial textures in benign and cancerous glandular tissues by stereology and stochastic geometry using artificial neural networks. Journal of Microscopy, 198:143–158, 2000.

 

M. Haschka and H. A. Kestler. Squinting and stereoscopic vision. Phys. Educ., 34(5):316–320, 1999.

 

H. A. Kestler and M. Haschka. A Model for the Emergence of Café–au–Lait Macules. The Journal of Investigative Dermatology, 113:858–859, 1999.

 

H. A. Kestler, M. Schulé, F. Schwenker, H. Neumann, T. Mattfeldt. Neural Classification of Cytological Smears from the Cervix. Biomed. Technik, 44:17–24, 1999. in german.

 

T. Mattfeldt, H. A. Kestler, R. Hautmann, H.-W. Gottfried. Prediction of prostatic cancer progrssion after radical prostatectomy using artificial neural networks: a feasibility study. BJU International, 84:316–323, 1999.

 

H. A. Kestler, S. Janko, U. Häußler, R. Muche, M. Höher, V. Hombach, J. Wiecha. A remark on the high- conductance calcium activated potassium channel in human endothelial cells. Res Exp Med, 198(3):133–143, 1998.

 

H. A. Kestler, A. A. Farschtschi, P. H. Wein. Untersuchung und Simulation Neuronaler Netze mit dynamischer Strukturänderung. Automatisierungstechnische Praxis, 36(2):47–51, 1994.

 


 

Review articles

 

K. Giehl, M. Bachem, M. Beil, B. O. Böhm, V. Ellenrieder, S. Fulda, T. M. Gress, K. Holzmann, H. A. Kestler, M. Kornmann, A. Menke, P. Möller, F. Oswald, R. M. Schmid, V. Schmidt, R. Schirmbeck, T. Seufferlein, G. von Wichert, M. Wagner, P. Walther, T. Wirth, G. Adler. 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.

 

L. Floßbach, H. A. Kestler, T. M. Gress, P. Möller, T. F. E. Barth. Aktuelle Aspekte zur Pathogenese von extranodalen Marginalzonen B-Zell Lymphomen vom MALT-Typ und gastrointestinalen diffusen großzelligen B-Zell Lymphomen. Z Gastroenterol, 48(8):833–8, 2010.

 

M. Buchholz, H. A. Kestler, T. M. Gress. Differential diagnosis of pancreatic tumors by molecular analysis of clinical specimens. Pancreatology, 8(6):551–557, 2008.

 

H. A. Kestler and M. Kühl. From individual Wnt pathways towards a Wnt signalling network. Philos Trans R Soc Lond B Biol Sci, 363:1333–134, 2008.

 

H. A. Kestler, C. Wawra, B. Kracher, M. Kühl. Network modelling of signal transduction: establishing the global view. BioEssays, 30(11-12):1110–1125, 2008.

 

H. A. Kestler and R. Küfer. Wertigkeit und Notwendigkeit bioinformatischer Methoden zur Mikroarray-Datenanalyse. Urologe A, 43:669–674, 2004.

 

C. Schwaenen, S. Wessendorf, H. A. Kestler, H. Döhner, P. Lichter, and M. Bentz. DNA microarray analysis in malignant lymphomas. Ann Hematol, 83:323–332, 2003.

 

O. Grebe, M. Giesler, H. A. Kestler, V. Hombach, M. Höher. Magnetic Resonance Imaging After Percutaneous Closure of a Patent Foramen Ovale. Circulation, 104(22):e117–e118, 2001.

 

H. A. Kestler, V. Hombach, H.-H. Osterhues, M. Kochs, M. Höher. Non-invasive Risk Stratification in Patients after Myocardial Infarction – A Brief Review. Biocybernetics and Biomedical Engineering, 20(1):67–79, 2000.

 


 

Refereed conference proceedings

 

F. Schmid, L. Lausser, H. A. Kestler. Linear contrast classifiers in high-dimensional spaces. In N. E. Gayar, F. Schwenker, and C. Suen, editors, Artificial Neural Networks in Pattern Recognition, vol LNAI 8774, pages 141 – 152, 2014.

 

L. Lausser and H. A. Kestler. Fold change classifiers for the analysis for the analysis of gene expression profiles. In W. Gaul, A. Geyer-Schulz, Y. Baba, and A. Okada, editors, Proceedings of the German/Japanese Workshops in 2010 (Karlsruhe) and 2012 (Kyoto), Studies in Classification, Data Analysis, and Knowledge Organization, pages 193–202, 2014.

 

A. Burkovski, L. Lausser, J. M. KrausH. A. Kestler. Rank aggregation for candidate gene identification. In M. Spiliopoulou, L. Schmidt-Thieme, and R. Janning, editors, Data Analysis, Machine Learning and Knowledge Discovery Studies in Classification, Data Analysis, and Knowledge Organization, pages 285–293, Heidelberg, 2014. Springer.

 

F. Schmid, L. LausserH. A. Kestler. Three transductive set covering machines. In M. Spiliopoulou, L. Schmidt-Thieme, and R. Janning, editors, Data Analysis, Machine Learning and Knowledge Discovery Studies in Classification, Data Analysis, and Knowledge Organization, pages 303–311, Heidelberg, 2014. Springer.

 

G. Völkel, M. MaucherH. A. Kestler. Group-based ant colony optimization. In C. Blum, editor, Proceedings of the fifteenth international conference on Genetic and evolutionary computation conference, pages 121–128, New York, NY, USA, 2013. ACM.

 

L. Lausser, C. MüsselH. A. Kestler. Representative prototype sets for data characterization and classification. In N. Mana, F. Schwenker, and E. Trentin, editors, Artificial Neural Networks in Pattern Recognition (ANNPR12), volume LNAI 7477, pages 36–47. Springer-Verlag, Heidelberg, 2012.

 

M. Hopfensitz, M. MaucherH. A. Kestler. Fuzzy Boolean network reconstruction. In W. Gaul, A. Geyer-Schulz, L. Schmidt-Thieme, and J. Kunze, editors, Challenges at the Interface of Data Analysis, Computer Science, and Optimization, Studies in Classification, Data Analysis, and Knowledge Organization, pages 263–270. Springer, 2012.

 

L. Lausser, C. Müssel, M. MaucherH. A. Kestler. Feature reduction and nearest neighbours. In W. Gaul, A. Geyer-Schulz, L. Schmidt-Thieme, and J. Kunze, editors, Challenges at the Interface of Data Analysis, Computer Science, and Optimization, Studies in Classification, Data Analysis, and Knowledge Organization, pages 363–370. Springer, 2012.

 

L. Lausser, F. Schmid, H. A. Kestler. On the utility of partially labeled data for classification of microarray data. In F. Schwenker and E. Trentin, editors, Partially Supervised Learning, volume LNCS 7081, pages 96–109. Springer, 2012.

 

G. Völkel, J. Kraus, and H. A. Kestler. Algorithm engineering with clojure. In Proceedings of the 5th European Lisp Symposium, Zadar, Croatia, 2012. accepted.

 

L. Lausser and H. A. Kestler. Robustness analysis of eleven linear classifiers in extremely high–dimensional feature spaces. In F. Schwenker and N. El Gayar, editors, Artificial Neural Networks in Pattern Recognition (ANNPR-10), volume LNAI 5998, pages 72–83. Springer-Verlag, Heidelberg, 2010.

 

J. M. Kraus and H. A. Kestler. Multi-core parallelization in Clojure: a case study. In Proceedings of the 6th European Lisp Workshop, pages 8–17, New York, 2009. ACM.

 

L. Lausser, M. Buchholz, H. A. Kestler. Boosting threshold classifiers for high–dimensional data in functional genomics. In L. Prevost, S. Marinai, and F. Schwenker, editors, Artificial Neural Networks in Pattern Recognition (ANNPR08), volume LNAI 5064, pages 147–156. Springer-Verlag, Heidelberg, 2008.

 

L. Lausser, F. Schwenker, and G. Palm. Detecting zebra crossings utilizing adaboost. In ESANN, pages 535–540, 2008.

 

H. A. Kestler, J. Kraus, M. Höher, V. Hombach, J. Wöhrle. Prognostic Significance of Electrocardiogram and Cine Magnetic Resonance Imaging Parameters in Patients with Idopathic Dilated Cardiomyopathy. IEEE Computers in Cardiology, 34:77–80, 2007.

 

W. Guttmann and M. Maucher. Variations on an ordering theme with constraints. In G. Navarro and L. B. und Yoshiharu Kohayakawa, editors, 4th IFIP International Conference on Theoretical Computer Science: TCS 2006, pages 77–90. Springer, 2006.

 

H. A. Kestler and C. Müssel. An empirical comparison of feature reduction methods in the context of microarray data classification. In F. Schwenker and S. Marinai, editors, Artificial Neural Networks in Pattern Recognition (ANNPR 06), volume LNAI 4087, pages 260–273. Springer-Verlag, Heidelberg, 2006.

 

H. A. Kestler, J. Kraus, G. Palm, F. Schwenker. On the effects of constraints in semi-supervised hierarchical clustering. In F. Schwenker and S. Marinai, editors, Artificial Neural Networks in Pattern Recognition (ANNPR 06), volume LNAI 4087, pages 57–66. Springer-Verlag, Heidelberg, 2006.

 

H. A. Kestler, W. Lindner, A. Müller. Learning and feature selection using the set covering machine with data-dependent rays on gene expression profiles. In F. Schwenker and S. Marinai, editors, Artificial Neural Networks in Pattern Recognition (ANNPR 06), volume LNAI 4087, pages 286–297. Springer-Verlag, Heidelberg, 2006.

 

H. A. Kestler, A. Müller, M. Buchholz, T. Gress, G. Palm. A perceptually optimized scheme for vsiualizing gene expression ratios with confidence values. In E. André, L. Dybkjær, W. Minker, H. Neumann, and M. Weber, editors, Perception and Interactive Technologies (PIT 06), volume LNAI 4021, pages 73–84. Springer-Verlag, Heidelberg, 2006.

 

A. Müller, A. Neitmann, M. Kunze, N. Merkle, M. Höher, V. Hombach, J. Wöhrle, H. Neumann,  H. A. Kestler. Integrating Model Based and Data Driven Approaches for the Automatic Segmentation of Cardiac Short-Axis Cine MRI Recordings . IEEE Computers in Cardiology, 33:73–76, 2006.

 

F. Schwenker, A. Sachs, G. Palm, H. A. Kestler. Orientation histograms for face recognition. In F. Schwenker and S. Marinai, editors, Artificial Neural Networks in Pattern Recognition (ANNPR 06), volume LNAI 4087, pages 253–259. Springer-Verlag, Heidelberg, 2006.

 

B. List, M. Maucher, U. Schöning, R. Schuler. Randomized quicksort and the entropy of the random source. In L. Wang, editor, Computing and Combinatorics, 11th Annual International Conference, pages 450–460. Springer, 2005.

 

A. Müller, A. Neitmann, N. Merkle, J. Woehrle, V. Hombach, H. A. Kestler. Contour Detection of Short Axis Slice MR Images for Contraction Irregularity Assessment. IEEE Computers in Cardiology, 32:21–24, 2005.

 

A. Müller, N. Merkle, V. Hombach, O. Grebe, T. Nusser, J. Woehrle, L. Binner, H. A. Kestler. Extracting Robust Features from Cardiac Magnetic Resonance Image Contours for Detecting Dilated Cardiomyopathy. IEEE Computers in Cardiology, 31:157–160, 2004.

 

H. El-Messiry, H. A. Kestler, O. Grebe, H. Neumann. Morphological Scal-Space Decomposition for Segmenting the Venricular Structure in Cardiac MR Images. In T. Wittenberg, P. Hastreiter, U. Hoppe, H. Handels, A. Horsch, and H.-P. Meinzer, editors, Bildverarbeitung für die Medizin 2003, pages 181–185, Berlin, 2003. Springer Verlag.

 

H. El-Messiry, H. A. Kestler, O. Grebe, H. Neumann. Segmenting the Endocardial Border of the Left Ventricle in Cardiac Magnetic Resonance Images. IEEE Computers in Cardiology, 30:625–628, 2003.

 

O. Grebe, A. Müller, N. Merkle, J. Wöhrle, L. Binner, V. Hombach, H. Neumann, H. A. Kestler. Estimation of Intra- and Inter-ventricular Dyssynchronization with Cardiac Magnetic Resonance Imaging. IEEE Computers in Cardiology, 30:741–743, 2003.

 

H. A. Kestler and M. Höher. Prognostic Value of Intra-QRS and ST-T Micro-Variability – A 2 Year Follow-up. IEEE Computers in Cardiology, 30:89–92, 2003.

 

O. Grebe, M. Lehn, H. Neumann, F. Schwenker, J. Wöhrle, M. Höher, V. Hombach, H. A. Kestler. Parameters for characterizing diastolic function with cardiac magnetic resonance imaging. IEEE Computers in Cardiology, 29:185–188, 2002.

 

H. A. Kestler, A. Müller, V. Hombach, J. Wöhrle, G. Palm, M. Höher, F. Schwenker. 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.

 

F. Schwenker and H. A. Kestler. Analysis of support vectors helps to identify borderline patients in classification studies. IEEE Computers in Cardiology, 29:305–308, 2002.

 

S. Simon, F. Schwenker, H. A. Kestler, G. Kraetzschmar, G. Palm. Hierarchical Object Classification for Autonomous Mobile Robots. In J. R. Dorronsoro, editor, Artificial Neural Networks – ICANN 2002, pages 831–836, Berlin, 2002. Springer Verlag.

 

O. Grebe, M. Höher, F. Schwenker, H. Neumann, J. Wöhrle, G. Palm, V. Hombach, H. A. Kestler. New Markers for Diastolic Function by Cardiac Magnetic Resonance Imaging. IEEE Computers in Cardiology, 28:625–628, 2001.

 

H. A. Kestler, M. Höher, F. Schwenker. Evolutionary Optimization of a Wavelet Classifier for the Categorization of Beat-to-Beat Variability Signals. In V. Kurkova, N. Steele, R. Neruda, and M. Karny, editors, Artificial Neural Nets and Genetic Algorithms, pages 280–283. Springer-Verlag, Wien, 2001.

 

H. A. Kestler, F. Schwenker, J. Wöhrle, V. Hombach, G. Palm, M. Höher. Combined Assessment of Beat-to-Beat Micro-Variability and Signal-Averaged ECG Parameters. IEEE Computers in Cardiology, 28:73–76, 2001.

 

F. Schwenker, H. A. Kestler, S. Simon, G. Palm. 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, pages 344–349. IEEE, 2001.

 

A. Wichert, H. A. Kestler, H. Walter, G. Grön, A. Baune, J. Grothe, A. Wunderlich, F. T. Sommer. Explorative detection of delay activity during a working memory task. In G. Papadourakis, editor, Neural Networks and Expert Systems in Medicine and Healthcare, pages 266–271. Technological Educational Institute of Crete, 2001.

 

M. Höher, J. Wöhrle, B. Scharf, S. Thamasett, S. Stiller, S. Bauer, H. A. Kestler. Heart-Rate Dependency of QRS-Microvariability During Atrial Pacing. IEEE Computers in Cardiology, 27:727–730, 2000.

 

H. A. Kestler and G. Palm. A simple evolutionary wavelet classifier for the categorization of beat-to-beat variability signals. Biomed. Technik, 45(Suppl. 2):30–35, 2000.

 

H. A. Kestler, M. Haschka, A. Müller, F. Schwenker, G. Palm, M. Höher. Evolutionary Optimization of a Wavelet Classifier for the Categorization of Beat-to-Beat Variability Signals. IEEE Computers in Cardiology, 27:715–718, 2000.

 

F. Schwenker and H. A. Kestler. Decision Trees for the Analysis and Classification of Signal Averaged High-Resolution ECGs. Biomed. Technik, 45(Suppl. 2):191–194, 2000.

 

F. Schwenker, H. A. Kestler, G. Palm. An Algorithm for Adaptive Clustering and Visualization of Highdimensional Data Sets. In G. D. Riccia, R. Kruse, and H. J. Lenz, editors, Computational Intelligence in Data Mining, pages 127–140. Springer, Wien, 2000.

 

F. Schwenker, H. A. Kestler, G. Palm. Combination of Supervised and Unsupervised Learning for Radial–Basis–Function Networks. In H. H. Bothe and R. Rojas, editors, Second International ICSC Symposium on Neural Computation (NC'2000), pages 22–28. ICSC Academic Press, Wetaskiwin, Canada, 2000.

 

F. Schwenker, H. A. Kestler, G. Palm. Radial–Basis–Function Networks: Learning and Applications. In R. Howlett and L. Jain, editors, Fourth International Conference on Knowledge–Based Intelligent Engineering Systems & Allied Technologies, pages 33–43. IEEE, Piscataway, 2000.

 

S. Simon, F. Vogt, H. A. Kestler, F. Schwenker, G. Palm. Aufmerksamkeitssteuerung für die Objektklassifikation auf einem autonomen mobilen Roboter. In G. Baratoff and H. Neumann, editors, Dynamische Perzeption, pages 195–198, Berlin, 2000. Akademische Verlagsgesellschaft.

 

A. Baune, S. Simon, H. A. Kestler, F. Schwenker, G. Palm. Schritthaltende Objektklassifikation für einen autonomen mobilen Roboter. In G. Schmidt, U. Hanebeck, and F. Freyberger, editors, Autonome Mobile Systeme 1999, pages 254–261. Springer Verlag, Berlin, 1999.

 

M. Höher, T. Brummer, H. A. Kestler. Concept and Initial Experience with a Mid-term DICOM Archiving System Acting as an Intelligent Buffer to Clinical Requests. IEEE Computers in Cardiology, 26:319–322, 1999.

 

H. A. Kestler, F. Schwenker, G. Hafner, V. Hombach, G. Palm, M. Höher. Feasibility Study of Complete Neural Net Based Classification of Signal–Averaged High–Resolution ECGs. IEEE Computers in Cardiology, 26:575–578, 1999.

 

H. A. Kestler, S. Simon, A. Baune, M. Hagenbuchner, F. Schwenker, G. Palm. A Hierarchical Neural Object Classifier for Subsymbolic–Symbolic Coupling. In W. Förster, J. M. Buhmann, A. Faber, and P. Faber, editors, Mustererkennung 1999, pages 27–35. Springer Verlag, Berlin, 1999.

 

H. A. Kestler, S. Simon, A. Baune, F. Schwenker, G. Palm. Object Classification Using Simple, Colour Based Visual Attention and a Hierarchical Neural Network for Neuro–Symbolic Integration. In W. Burgard, T. Christaller, and A. B. Cremers, editors, KI–99 Advances in Artificial Intelligence, pages 267–279. Springer Verlag, Berlin, 1999.

 

S. Simon, H. A. Kestler, A. Baune, F. Schwenker, G. Palm. 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, pages 244–249. IEEE, 1999.

 

H. A. Kestler, M. Haschka, W. Kratz, F. Schwenker, G. Palm, V. Hombach, M. Höher. De-noising of High- resolution ECG Signals by Combining the Discrete Wavelet Transform with the Wiener Filter. In A. Murray and S. Swiryn, editors, IEEE Computers in Cardiology, pages 233–236. IEEE Computer Society, 1998.

 

A. Wichert and H. A. Kestler. A categorical based reanimation expert system. In E. Ifeachor, A. Sperduti, and A. Starita, editors, Neural Networks and Expert Systems in Medicine and Healthcare, pages 187–193. World Scientific, 1998.

 

M. Höher, D. E. Ritscher, S. Bauer, M. Kodler, H. A. Kestler, V. Hombach. Beat-to-Beat Variability of QRS Duration: Initial Results from a Large ECG Database with Prospective Follow-up. In A. Murray and S. Swiryn, editors, IEEE Computers in Cardiology, pages 613–616. IEEE Computer Society, 1997.

 

H. A. Kestler, F. Schwenker, G. Palm, V. Hombach, M. Höher. Neuronale Netze zur Visualisierung und Klassifikation - Anwendung auf hochverstärkte EKG Signale. In R. Muche, G. Büchele, D. Harder, and W. Gaus, editors, Medizinische Informatik, Biometrie und Epidemiologie - GMDS 97, pages 90–95, München, 1997. MMV Medizin Verlag.

 

H. A. Kestler, H. Strey, H. Dickhaus, G. Palm, V. Hombach, M. Höher. Discrete Wavelet Analysis of the Signal-Averaged High-Resolution Electrocardiogram. In A. Murray and S. Swiryn, editors, IEEE Computers in Cardiology, pages 621–624. IEEE Computer Society, 1997.

 

H. A. Kestler, H. Strey, H. Dickhaus, G. Palm, V. Hombach, M. Höher. Diskrete Waveletanalyse des signalgemittelten, hochauflösenden Elektrokardiogramms. In R. Muche, G. Büchele, D. Harder, and W. Gaus, editors, Medizinische Informatik, Biometrie und Epidemiologie - GMDS 97, pages 96–101, München, 1997. MMV Medizin Verlag.

 

H. A. Kestler, M. Höher, G. Palm, M. Kochs, V. Hombach. Time Domain Variability of High Resolution Beat-to-Beat Recordings Classified by Neural Networks. In A. Murray and R. Arzbaecher, editors, IEEE Computers in Cardiology, pages 317–320. IEEE Computer Society, 1996.

 

H. A. Kestler, M. Höher, F. Schwenker, V. Hombach. Filtering Beat-to-Beat Recordings of the High Resolution Electrocardiogram. In A. Murray and R. Arzbaecher, editors, IEEE Computers in Cardiology, pages 461–464. IEEE Computer Society, 1996.

 

F. Schwenker, H. A. Kestler, G. Palm. Visualization and Analysis of Signal Averaged High Resolution Electrocardiograms Employing Cluster Analysis and Multidimensional Scaling. In A. Murray and R. Arzbaecher, editors, IEEE Computers in Cardiology, pages 453–456. IEEE Computer Society, 1996.

 

M. Höher, H. A. Kestler, S. Bauer, P. Weismüller, G. Palm, V. Hombach. Neural Network Based Analysis of the Signal Averaged Electrocardiogram. In A. Murray and R. Arzbaecher, editors, IEEE Computers in Cardiology, pages 257–260. IEEE Computer Society, 1995.

 

H. A. Kestler, F. Schwenker, M. Hoeher, G. Palm. Adaptive Class-Specific Partitioning as a Means of Initializing RBF-Networks. In Proceedings of the International Conference on Systems, Man, and Cybernetics, pages 46–49. IEEE, 1995.

 

H. A. Kestler, F. Schwenker, M. Höher. Combining Supervised Competitive Learning and Gradient Descent Learning to Classify Signal-Averaged High-Resolution Electrograms. In A. Murray and R. Arzbaecher, editors, IEEE Computers in Cardiology, pages 381–384. IEEE Computer Society, 1995.

 

F. Schwenker, H. A. Kestler, M. Höher, G. Palm. Klassifikation hochverstärkter EKG Signale durch RBF Netzwerke. In G. Sagerer, S. Posch, and F. Kummert, editors, Mustererkennung 1995, pages 387–394. Springer Verlag, 1995.

 

F. Schwenker, H. A. Kestler, G. Palm. A Comparison of LVQ and RBF Networks for Classification and Data Clustering. In Proceedings of the 6th Microcomputer School, pages 646–651, Brno, 1994.

 

F. Schwenker, H. A. Kestler, G. Palm, M. Höher. 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, pages 646–651. IEEE, 1994.

 


 

Book chapters

 

L. Lattke, L. Lausser, C. Müssel, H. A. Kestler. Detecting Ordinal Class Structures. In F. Schwenker, F. Roli, and J. Kittler, editors, Multiple Classifier Systems. Springer International Publishing, 2015.

 

J. M. Kraus, G. Palm, F. Schwenker, H. A. Kestler. Semi-supervised clustering in functional genomics. In W. Arendt and W. P. Schleich, editors, Mathematical Analysis of Evolution, Information, and Complexity. Wiley-VCH, 2009.

 

L. Lausser, F. Schwenker, H. A. Kestler. Boosting ensembles of weak classifiers in high dimensional input spaces. In W. Arendt and W. P. Schleich, editors, Mathematical Analysis of Evolution, Information, and Complexity. Wiley-VCH, 2009.

 

B. List, M. Maucher, U. Schöning, and R. Schuler. Quicksort from an information-theoretic view. In W. Arendt and W. Schleich, editors, Mathematical analysis of evolution, information, and complexity, pages 455–464. Wiley-VCH, Weinheim, 2009.

 

C. Wawra, M. Kühl, H. A. Kestler. Boolean networks for modelling gene regulation. In W. Arendt and W. P. Schleich, editors, Mathematical Analysis of Evolution, Information, and Complexity, pages 157–180. Wiley-VCH, 2009.

 

M. Buchholz, H. A. Kestler, A. Bauer, J. D. Hoheisel, T. M. Gress. Development of diagnostic arrays for the differential diagnosis of a pancreatic mass. In T. M. Gress, J. Neoptolemos, N. R. Lemoine, and F. X. Real, editors, Exocrine pancreas cancer, pages 394–401. Solvay Pharmaceuticals, 2005.

 

H. A. Kestler, R. Schuler, A. Müller, M. Buchholz, F. Schwenker, G. Palm, T. M. Gress. Bioinformatic methods for microarray data analysis in pancreatic cancer. In T. M. Gress, J. Neoptolemos, N. R. Lemoine, and F. X. Real, editors, Exocrine pancreas cancer, pages 228–241. Solvay Pharmaceuticals, 2005.

 

T. Mattfeldt, H.-W. Gottfried, M. Burger, H. A. Kestler. Classification of Prostatic Cancer Using Artificial Neural Networks. In G. A. Losa, D. Merlini, T. F. Nonnenmacher, and E. R. Weibel, editors, Fractals in Biology and Medicine, Volume III, pages 101–111. Birkhäuser, Basel, 2002.

 

F. Schwenker, H. A. Kestler, G. Palm. Algorithms for the Visualization of Large and Multivariate Data Sets. In U. Seiffert and L. Jain, editors, Self-Organizing Neural Networks, chapter 8, pages 165–183. Physica-Verlag, Heidelberg, 2002.

 

F. Schwenker, H. A. Kestler, G. Palm. Unsupervised and Supervised Learning in Radial-Basis-Function Networks. In U. Seiffert and L. Jain, editors, Self-Organizing Neural Networks, chapter 10, pages 217–243. Physica-Verlag, Heidelberg, 2002.

 

V. Hombach, H.-H. Osterhues, B. Schleß, M. Kochs, H. A. Kestler, M. Höher. QT Dispersion: Definition, Methodology, and Clinical Relevance. In A. Oto and G. Breithardt, editors, Myocardial Repolarization: From Gene to Bedside, chapter 10, pages 187–209. Futura Publishing Co., Armonk, 2001.

 

H. A. Kestler and  F. Schwenker. RBF Network Classification of ECGs as a Potential Marker for Sudden Cardiac Death. In R. Howlett and L. Jain, editors, Radial Basis Function Networks 2, chapter 6, pages 167–214. Physica-Verlag, Heidelberg, 2001.

 

F. Schwenker and H. A. Kestler. 3-D Visual Object Classification with Hierarchical Radial Basis Function Networks. In R. Howlett and L. Jain, editors, Radial Basis Function Networks 2, chapter 8, pages 269–293. Physica-Verlag, Heidelberg, 2001.

 

M. Höher, S. Bauer, H. A. Kestler. Detection of QRS-Variability. In H.-H. Osterhues, V. Hombach, and A. J. Moss, editors, Advances in Noninvasive Electrocardiographic Monitoring Techniques, chapter 10, pages 109–119. Kluwer Academic Publishers, Dordrecht, 2000.

 

H. A. Kestler. Lexikon der Neurowissenschaft. Spektrum Akademischer Verlag, Heidelberg, 2000. Coauthor.

 

H. A. Kestler, F. Schwenker, G. Palm, J. Wöhrle, M. Höher. Neural Classification in High-Resolution ECG Signal Processing. In H.-H. Osterhues, V. Hombach, and A. J. Moss, editors, Advances in Noninvasive Electrocardiographic Monitoring Techniques, chapter 43, pages 441–452. Kluwer Academic Publishers, Dordrecht, 2000.

 

V. Hombach, H. A. Kestler, H. H. Osterhues, B. Scharf, M. Kochs,  M. Höher. A Modern Approach to Risk Stratification in Patients with Structural Heart Disease. In T. Katila and R. Maniewski, editors, Lecture Notes of the ICB Seminars 38: High–resolution Electro- and Magnetocardiography, pages 126–136. Polish Academy of Sciences, Warsaw, 1998.

 

F. Schwenker, J. He, H. A. Kestler, E. Littman, S. Schieszl, G. Palm. Anwendungen neuronaler Netze. In G. Bol, G. Nakhaeizadeh, and K.-H. Vollmer, editors, Finanzmarktanalyse und -prognose mit innovativen quantitativen Verfahren, pages 35–70. Physica-Verlag, 1996.

 

H. A. Kestler. Wörterbuch der Kognitionswissenschaft. Klett-Cotta, Stuttgart, 1995. Coauthor.

 


 

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

 

H. A. Kestler, H. Binder, M. Schmid, F. Leisch, J. M. Kraus. Statistical Computing 2011 – Abstracts der 43. Arbeitstagung. Ulmer Informatik-Berichte 2011-04, University of Ulm, Germany, 2011. ISSN 0939-5091.

 

H. A. Kestler, H. Binder, B. Lausen, H.-P. Klenk, M. Schmid, F. Leisch. Statistical Computing 2010 – Abstracts der 42. Arbeitstagung. Ulmer Informatik-Berichte 2010-05, University of Ulm, Germany, 2010. ISSN 0939-5091.

 

H. A. Kestler, B. Lausen, H. Binder, H.-P. Klenk, F. Leisch, M. Schmid. Statistical Computing 2009 – Abstracts der 41. Arbeitstagung. Ulmer Informatik-Berichte 2009-07, University of Ulm, Germany, 2009. ISSN 0939-5091.

 

D. Zhou, C. Müssel, L. Lausser, M. Hopfensitz, M. Kühl,  H. A. Kestler. Boolean networks for modeling and analysis of gene regulation. Ulmer Informatik-Berichte 2009-10, University of Ulm, Germany, 2009. ISSN 0939-5091.

 

H. A. Kestler, J. Messner, A. Müller, R. Schuler. On the complexity of intersecting multiple circles for graphical display. Ulmer Informatik-Berichte 2008-01, University of Ulm, Germany, 2008. ISSN 0939-5091.

 

M. Maucher, U. Schöning, H. A. Kestler. 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.

 

M. Maucher, U. Schöning, H. A. Kestler. On the different notions of pseudorandomness. Ulmer Informatik-Berichte 2008-11, University of Ulm, Germany, 2008. ISSN 0939-5091.

 

H. A. Kestler, A. Müller, H. Liu, D. W. Kane, B. W. Zeeberg, J. N. Weinstein. Euler diagrams for visualizing annotated gene expression data. In A. Verroust-Blondet and M.-L. Viaud, editors, Euler Diagrams 2005, pages 1–4. INRIA, INA, Paris, France, 2005.

 

H. A. Kestler, F. Schwenker, G. Palm. 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.

 

F. Schwenker, H. A. Kestler, G. Palm. 3-D Visual Object Classification with Hierarchical Radial Basis Function Networks. Ulmer Informatik-Berichte 2001-02, University of Ulm, Germany, 2001. ISSN 0939-5091.

 

H. A. Kestler. Annual Review of Biomedical Engineering Volume 1, 1999. Medical & Biological Engineering & Computing, pages N14–N16, May 2000. Book review.

 

A. Baune, S. Simon, H. A. Kestler, F. Schwenker, G. Palm. Implementierungsaspekte der Objektklassifikation unter SMARTSOFT. Ulmer SFB 527 Reports 1999/10, University of Ulm, Germany, 1999. ISSN 1438-2237.

 

H. A. Kestler. Calculation and Display of Confidence Bounds for Receiver Operator Characteristics. Methods of Information in Medicine, 38(1):74, 1999. Letter to the Editor.

 

H. A. Kestler. Per(l)formance Evaluation of Classifiers – Using Perl for Simulation. In J. Christoffel, editor, GMD Report 49: Erster Deutscher Perl-Workshop 1.0. GMD – Forschungszentrum Informationstechnik GmbH, 1999.

 

H. A. Kestler, M. Borst, H. Neumann. Einfache Handgestikerkennung mit einem zweistufigen Nearest–neighbour Klassifikator. Ulmer SFB 527 Reports 1999/6, University of Ulm, Germany, 1999. ISSN 1438-2237.

 

H. A. Kestler, G. Mayer, H. Neumann. Ansätze der Clusterbasierten Objektverfolgung auf einem mobilen Roboter. Ulmer SFB 527 Reports 1999/5, University of Ulm, Germany, 1999. ISSN 1438-2237.

 

H. A. Kestler, S. Simon, A. Baune, F. Schwenker, G. Palm. 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.

 

S. Simon, H. A. Kestler, A. Baune, F. Schwenker, G. Palm. Werkzeuge zur visuellen Objektklassifikation. Ulmer SFB 527 Reports 1999/3, University of Ulm, Germany, 1999. ISSN 1438-2237.

 

M. Höher, H. A. Kestler, V. Hombach. Frequency and Wavelet Analysis of the Signal-Averaged Surface Electrocardiogram. Annals of Noninvasive Electrocardiology, 1(3):261–263, 1996. Editorial.

 

M. Höher, H. A. Kestler, V. Hombach. Special computerized evaluation of high resolution electrocardiograms for risk stratification - Neural network analysis. New Trends Arrhythm, 9(4):859–864, 1993.

Latest News

Our paper "A model of the onset of the Senescence Associated Secretory Phenotype after DNA damage induced Senescence" has been accepted for publishing in PLOS Computational Biology.

Our paper "The influence of multi-class feature selection on the prediction of diagnostic phenotypeshas been accepted for publishing in Neural Processing Letters.