Prof. Dr. Ludwig Lausser

AMMELING, Jonas, Jonathan GANZ, Emely ROSBACH, Ludwig LAUSSER, Christof BERTRAM, Katharina BREININGER und Marc AUBREVILLE, 2026. Benchmarking Foundation Models for Mitotic Figure Classification. Machine Learning for Biomedical Imaging, 3, 38-55. ISSN 2766-905X. Verfügbar unter: https://doi.org/10.59275/j.melba.2026-a3eb

GANZ, Jonathan, Jonas AMMELING, Emely ROSBACH, Ludwig LAUSSER, Christof BERTRAM, Katharina BREININGER und Marc AUBREVILLE, 2025. Is Self-supervision Enough?: Benchmarking Foundation Models Against End-to-end Training for Mitotic Figure Classification. In: PALM, Christoph, Katharina BREININGER, Thomas Martin DESERNO, Heinz HANDELS, Andreas MAIER, Klaus H. MAIER-HEIN und Thomas TOLXDORFF, Hrsg. Bildverarbeitung für die Medizin 2025: Proceedings, German Conference on Medical Image Computing, Regensburg March 09–11, 2025. Wiesbaden: Springer Vieweg, S. 63-68. ISBN 978-3-658-47422-5. Verfügbar unter: https://doi.org/10.1007/978-3-658-47422-5_15

BUCHHOLZ, Malte, Ludwig LAUSSER, Miriam SCHENK, Julie EARL, Rita T. LAWLOR, Aldo SCARPA, Alfonso SANJUANBENITO, Alfredo CARRATO, Nuria MALATS, Christine TJADEN, Nathalia A. GIESE, Markus BÜCHLER, Thilo HACKERT, Hans A. KESTLER und Thomas M. GRESS, 2024. 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. United European Gastroenterology Journal, 13(3), 353-363. ISSN 2050-6414. Verfügbar unter: https://doi.org/10.1002/ueg2.12676

LAUSSER, Ludwig, Robin SZEKELY und Hans A. KESTLER, 2024. Permutation-invariant linear classifiers. Machine Learning, 113(10), 7195-7221. ISSN 1573-0565. Verfügbar unter: https://doi.org/10.1007/s10994-024-06561-8

SEUFFERLEIN, Thomas, Ludwig LAUSSER, Alexander STEIN, Dirk ARNOLD, Gerald PRAGER, Stefan KASPER-VIRCHOW, Michael NIEDERMEIER, Lothar MÜLLER, Stefan KUBICKA, Alexander KÖNIG, Petra BÜCHNER-STEUDEL, Kai WILLE, Andreas W. BERGER, Angelika M. R. KESTLER, Johann M. KRAUS, Silke D. WERLE, Lukas PERKHOFER, Thomas J. ETTRICH und Hans A. KESTLER, 2024. Prediction of resistance to bevacizumab plus FOLFOX in metastatic colorectal cancer—Results of the prospective multicenter PERMAD trial. PLOS ONE, 19(6), e0304324. ISSN 1932-6203. Verfügbar unter: https://doi.org/10.1371/journal.pone.0304324

GANZ, Jonathan, Jonas AMMELING, Emely ROSBACH, Ludwig LAUSSER, Christof BERTRAM, Katharina BREININGER und Marc AUBREVILLE, 2024. Is Self-Supervision Enough? Benchmarking Foundation Models Against End-to-End Training for Mitotic Figure Classification [Preprint]. arXiv. Verfügbar unter: https://doi.org/10.48550/arXiv.2412.06365

WERLE, Silke D., Nensi IKONOMI, Ludwig LAUSSER, Annika M. T. U. KESTLER, Felix M. WEIDNER, Julian D. SCHWAB, Julia MAIER, Malte BUCHHOLZ, Thomas M. GRESS, Angelika M. R. KESTLER und Hans A. KESTLER, 2023. A systems biology approach to define mechanisms, phenotypes, and drivers in PanNETs with a personalized perspective. npj Systems Biology and Applications, 9(1), 22. ISSN 2056-7189. Verfügbar unter: https://doi.org/10.1038/s41540-023-00283-8

THIAM, Patrick, Ludwig LAUSSER, Christopher KLOTH, Daniel BLAICH, Andreas LIEBOLD, Meinrad BEER und Hans A. KESTLER, 2023. Unsupervised domain adaptation for the detection of cardiomegaly in cross-domain chest X-ray images. Frontiers in Artificial Intelligence, 6, 1056422. ISSN 2624-8212. Verfügbar unter: https://doi.org/10.3389/frai.2023.1056422

KRÜGER, Max und Ludwig LAUSSER, 2023. Identifying Key Features in Aggregated Real-Life AIS-Messages for Classification of Maritime Vessels by Random Forests. 2023 26th International Conference on Information Fusion (FUSION). Piscataway: IEEE. Verfügbar unter: https://doi.org/10.23919/FUSION52260.2023.10224109

LAUSSER, Ludwig, Christof BERTRAM, Robert KLOPFLEISCH und Marc AUBREVILLE, 2023. Limits of Human Expert Ensembles in Mitosis Multi-expert Ground Truth Generation. In: DESERNO, Thomas Martin, Heinz HANDELS, Andreas MAIER, Klaus H. MAIER-HEIN, Christoph PALM und Thomas TOLXDORFF, Hrsg. Bildverarbeitung für die Medizin 2023: Proceedings, German Workshop on Medical Image Computing, Braunschweig, July 2-4, 2023. Wiesbaden: Springer Vieweg, S. 116-121. ISBN 978-3-658-41657-7. Verfügbar unter: https://doi.org/10.1007/978-3-658-41657-7_27

BELLMANN, Peter, Ludwig LAUSSER, Hans A. KESTLER und Friedhelm SCHWENKER, 2022. A Theoretical Approach to Ordinal Classification: Feature Space-Based Definition and Classifier-Independent Detection of Ordinal Class Structures. Applied Sciences, 12 (2022)(4), 1815. ISSN 2076-3417. Verfügbar unter: https://doi.org/10.3390/app12041815

LAUSSER, Ludwig, Robin SZEKELY, Florian SCHMID, Markus MAUCHER und Hans A. KESTLER, 2022. Efficient cross-validation traversals in feature subset selection. Scientific Reports, 12, 21485. ISSN 2045-2322. Verfügbar unter: https://doi.org/10.1038/s41598-022-25942-4

WEIDNER, Felix M., Julian D. SCHWAB, Silke D. WERLE, Nensi IKONOMI, Ludwig LAUSSER und Hans A. KESTLER, 2022. Response to the letter to the editor: On the feasibility of dynamical analysis of network models of biochemical regulation. Bioinformatics, 38(14), 3676-0. ISSN 1367-4811. Verfügbar unter: https://doi.org/10.1093/bioinformatics/btac318

WEIDNER, Felix M., Julian D. SCHWAB, Silke D. WERLE, Nensi IKONOMI, Ludwig LAUSSER und Hans A. KESTLER, 2021. Capturing dynamic relevance in Boolean networks using graph theoretical measures. Bioinformatics, 37(20), 3530-3537. ISSN 1460-2059. Verfügbar unter: https://doi.org/10.1093/bioinformatics/btab277

NIEDERSCHWEIBERER, Moritz, Patrick M. SCHAEFER, Larry N. SINGH, Ludwig LAUSSER, Devyani BHOSALE, Raphael HESSE, Enrico CALZIA, Hans A. KESTLER, Angelika RUECK, Douglas WALLACE, Bjoern von EINEM und Christine A. F. von ARNIM, 2021. NADH Fluorescence Lifetime Imaging Microscopy Reveals Selective Mitochondrial Dysfunction in Neurons Overexpressing Alzheimer’s Disease–Related Proteins. Frontiers in Molecular Biosciences, 8, 671274. ISSN 2296-889X. Verfügbar unter: https://doi.org/10.3389/fmolb.2021.671274

ANDERL-STRAUB, Sarah, Ludwig LAUSSER, Jolina LOMBARDI, Ingo UTTNER, Klaus FASSBENDER, Klaus FLIESSBACH, Hans-Jürgen HUPPERTZ, Holger JAHN, Johannes KORNHUBER, Hellmuth OBRIG, Anja SCHNEIDER, Elisa SEMLER, Matthis SYNOFZIK, Adrian DANEK, Johannes PRUDLO, Jan KASSUBEK, Bernhard LANDWEHRMEYER, Martin LAUER, Alexander E. VOLK, Jens WILTFANG, Janine DIEHL-SCHMID, Albert C. LUDOLPH, Matthias SCHROETER, Hans A. KESTLER und Markus OTTO, 2021. Predicting disease progression in behavioral variant frontotemporal dementia. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 13(1), e12262. ISSN 2352-8729. Verfügbar unter: https://doi.org/10.1002/dad2.12262

BELLMANN, Peter, Ludwig LAUSSER und Hans A. KESTLER, 2021. Experimental Analysis of Bidirectional Pairwise Ordinal Classifier Cascades. In: TORSELLO, Andrea, Luca ROSSI, Marcello PELILLO, Battista BIGGIO und Antonio ROBLES-KELLY, Hrsg. Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshops, S+SSPR 2020, Padua, Italy, January 21–22, 2021: Proceedings. Cham: Springer, S. 55-64. ISBN 978-3-030-73973-7. Verfügbar unter: https://doi.org/10.1007/978-3-030-73973-7_6

BELLMANN, Peter, Ludwig LAUSSER, Hans A. KESTLER und Friedhelm SCHWENKER, 2021. Introducing Bidirectional Ordinal Classifier Cascades Based on a Pain Intensity Recognition Scenario. In: DEL BIMBO, Alberto, Rita CUCCHIARA, Stan SCLAROFF, Giovanni Maria FARINELLA, Tao MEI, Marco BERTINI, Hugo Jair ESCALANTE und Roberto VEZZANI, Hrsg. Pattern Recognition: ICPR International Workshops and Challenges: Virtual Event, January 10–15, 2021: Proceedings, Part VI. Cham: Springer, S. 773-787. ISBN 978-3-030-68780-9. Verfügbar unter: https://doi.org/10.1007/978-3-030-68780-9_58

MÜLLER, André, Ludwig LAUSSER, Adalbert WILHELM, Timo ROPINSKI, Matthias PLATZER, Heiko NEUMANN und Hans A. KESTLER, 2020. A perceptually optimised bivariate visualisation scheme for high-dimensional fold-change data. Advances in Data Analysis and Classification, 15(2), 463-480. ISSN 1862-5355. Verfügbar unter: https://doi.org/10.1007/s11634-020-00416-5

LAUSSER, Ludwig, Robin SZEKELY und Hans A. KESTLER, 2020. Chained correlations for feature selection. Advances in Data Analysis and Classification, 14(4), 871-884. ISSN 1862-5355.

LAUSSER, Ludwig, Robin SZEKELY, Attila KLIMMEK, Florian SCHMID und Hans A. KESTLER, 2020. Constraining classifiers in molecular analysis: invariance and robustness. Journal of the Royal Society Interface, 17 (2020)(163), 20190612. ISSN 1742-5662. Verfügbar unter: https://doi.org/10.1098/rsif.2019.0612

LAUSSER, Ludwig, Lisa M. SCHÄFER, Silke D. WERLE, Angelika M. R. KESTLER und Hans A. KESTLER, 2020. Detecting Ordinal Subcascades. Neural Processing Letters, 52(3), 2583-2605. ISSN 1573-773X. Verfügbar unter: https://doi.org/10.1007/s11063-020-10362-0

LAUSSER, Ludwig, Lisa M. SCHÄFER, Lyn-Rouven SCHIRRA, Robin SZEKELY, Florian SCHMID und Hans A. KESTLER, 2019. Assessing phenotype order in molecular data. Scientific Reports, 9, 11746. ISSN 2045-2322. Verfügbar unter: https://doi.org/10.1038/s41598-019-48150-z

HÜHNE, Rolf, Viktor KESSLER, Axel FÜRSTBERGER, Silke D. WERLE, Matthias PLATZER, Jürgen SÜHNEL, Ludwig LAUSSER und Hans A. KESTLER, 2018. 3D Network exploration and visualisation for lifespan data. BMC Bioinformatics, 19 (2018), 390. ISSN 1471-2105. Verfügbar unter: https://doi.org/10.1186/s12859-018-2393-x

KUBIS, Lea, Julian D. SCHWAB, Silke D. WERLE, Ludwig LAUSSER, Stefan TÜMPEL, Astrid S. PFISTER, Michael KÜHL und Hans A. KESTLER, 2018. A Boolean network of the crosstalk between IGF and Wnt signaling in aging satellite cells. PLOS ONE, 13(3), e0195126. ISSN 1932-6203. Verfügbar unter: https://doi.org/10.1371/journal.pone.0195126

KRAUS, Johann M., Ludwig LAUSSER, Peter KUHN, Franz JOBST, Michaela BOCK, Carolin HALANKE, Michael HUMMEL, Peter HEUSCHMANN und Hans A. KESTLER, 2018. Big data and precision medicine: challenges and strategies with healthcare data. International Journal of Data Science and Analytics, 6 (2018)(3), 241-249. ISSN 2364-4168. Verfügbar unter: https://doi.org/10.1007/s41060-018-0095-0

KUSTERMANN, Monika, Linda MANTA, Christoph PAONE, Jochen KUSTERMANN, Ludwig LAUSSER, Cora WIESNER, Ludwig EICHINGER, Christoph S. CLEMEN, Rolf SCHRÖDER, Hans A. KESTLER, Marco SANDRI, Wolfgang ROTTBAUER und Steffen JUST, 2018. Loss of the novel Vcp (valosin containing protein) interactor Washc4 interferes with autophagy-mediated proteostasis in striated muscle and leads to myopathy in vivo. Autophagy, 14 (2018)(11), 1911-1927. ISSN 1554-8627. Verfügbar unter: https://doi.org/10.1080/15548627.2018.1491491

LAUSSER, Ludwig, Lisa M. SCHÄFER und Hans A. KESTLER, 2018. Ordinal Classifiers Can Fail on Repetitive Class Structures. Archives of Data Science, Series A, 4 (2018)(1). ISSN 2363-9881. Verfügbar unter: https://doi.org/10.5445/KSP/1000085951/25

HESSE, Raphael, Bjoern von EINEM, Franziska WAGNER, Patricia BOTT, Daniel SCHWANZAR, Rosemary JACKSON, Karl Josef FÖHR, Ludwig LAUSSER, Katja S. KROKER, Christian PROEPPER, Paul WALTHER, Hans A. KESTLER, Tara SPIRES-JONES, Tobias BOECKERS, Holger ROSENBROCK und Christine A. F. von ARNIM, 2018. sAPPβ and sAPPα increase structural complexity and E/I input ratio in primary hippocampal neurons and alter Ca2+ homeostasis and CREB1-signaling. Experimental Neurology, (2018)(304), 1-13. ISSN 0014-4886. Verfügbar unter: https://doi.org/10.1016/j.expneurol.2018.02.010

LAUSSER, Ludwig, Lea KUBIS, Wolfgang ROTTBAUER, Derk FRANK, Steffen JUST und Hans A. KESTLER, 2018. Semantic Multi-Classifier Systems Identify Predictive Processes in Heart Failure Models across Species. Biomolecules, 8 (2018)(4), 158. ISSN 2218-273X. Verfügbar unter: https://doi.org/10.3390/biom8040158

LAUSSER, Ludwig, Robin SZEKELY, Viktor KESSLER und Friedhelm SCHWENKER, 2018. Selecting Features from Foreign Classes. In: PANCIONI, Luca, Friedhelm SCHWENKER und Edmondo TRENTIN, Hrsg. Artificial Neural Networks in Pattern Recognition: 8th IAPR TC3 Workshop, ANNPR 2018, Siena, Italy, September 19–21, 2018: Proceedings. Cham: Springer, S. 66-77. ISBN 978-3-319-99978-4. Verfügbar unter: https://doi.org/10.1007/978-3-319-99978-4_5