Publications
2026
Large language models enable prognostic stratification of cancer patients using real-world clinical notes
Niklas Kiermeyer, Tim Lenfers, Amin Dada, Julian Friedrich, Sameh Khattab, Eric Knop, Jan Egger, Markus Pauly, Andreas Jung, Grégoire Montavon, Jens T. Siveke, Marcel Wiesweg, Stefan Kasper, Ulf Peter Neumann, Frederick Klauschen, Sylvia Hartmann, Martin Schuler, Philipp Keyl, Jens Kleesiek, Julius Keyl
PLOS Digital Health
Explainable AI Predicts Hematoxicity from Cancer Treatment Using Multimodal Real-World Data
Julius Keyl, Philipp Keyl, Tim Lenfers, René Hosch, Niklas Kiermeyer, Simon Schallenberg, Moon-Sung Kim, Sebastian Bauer, Nikolaos Bechrakis, Michael Forsting, Dagmar Fuehrer-Sakel, Sied Kebir, Viktor Grünwald, Boris Hadaschik, Johannes Haubold, Ken Herrmann, Stefan Kasper, Rainer Kimmig, Stephan Lang, Tienush Rassaf, Alexander Roesch, Dirk Schadendorf, Jens T. Siveke, Martin Stuschke, Ulrich Sure, Matthias Totzeck, Anja Welt, Marcel Wiesweg, Jan Egger, Sylvia Hartmann, Grégoire Montavon, Felix Nensa, Klaus-Robert Müller, Martin Schuler, Jens Kleesiek, Frederick Klauschen
medRxiv
Contrastive virtual staining enhances deep learning-based PDAC subtyping from H&E-stained tissue cores
Maximilian Fischer, Alexander Muckenhuber, Robin Peretzke, Luay Farah, Constantin Ulrich, Sebastian Ziegler, Philipp Schader, Lorenz Feineis, Hanno Gao, Shuhan Xiao, Michael Götz, Marco Nolden, Katja Steiger, Jens T. Siveke, Lukas Endrös, Rickmer Braren, Jens Kleesiek, Peter Schüffler, Peter Neher, Klaus Maier-Hein
The Journal of Pathology 2025
Leveraging Sarcopenia index by automated CT body composition analysis for pan cancer prognostic stratification
Katarzyna Borys, Johannes Haubold, Julius Keyl, Maria A. Bali, Riccardo De Angelis, Kévin Brou Boni, Nicolas Coquelet, Judith Kohnke, Giulia Baldini, Lennard Kroll, Sara Schramm, Andreas Stang, Eugen Malamutmann, Jens Kleesiek, Moon-Sung Kim, Stefan Kasper, Jens T. Siveke, Marcel Wiesweg, Anja Merkel-Jens, Benedikt Michael Schaarschmidt, Viktor Grünwald, Sebastian Bauer, Arzu Oezcelik, Servet Bölükbas, Ken Herrmann, Rainer Kimmig, Stephan Lang, Jürgen Treckmann, Martin Stuschke, Boris Hadaschik, Lale Umutlu, Michael Forsting, Dirk Schadendorf, Christoph M. Friedrich, Martin Schuler, René Hosch, Felix Nensa
npj Digital Medicine
LiMeTrack: A lightweight biosample management platform for the multicenter SATURN3 consortium
Florian Heyl, Jonas Gassenschmidt, Lukas Heine, Frederik Voigt, Jens Kleesiek, Oliver Stegle, Jens T. Siveke, Melanie Boerries, Roland F. Schwarz, Laura Godfrey
medRxiv
Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence
Julius Keyl, Philipp Keyl, Grégoire Montavon, René Hosch, Alexander Brehmer, Liliana Mochmann, Philipp Jurmeister, Gabriel Dernbach, Moon-Sung Kim, Sven Koitka, Sebastian Bauer, Nikolaos Bechrakis, Michael Forsting, Dagmar Führer-Sakel, Martin Glas, Viktor Grünwald, Boris Hadaschik, Johannes Haubold, Ken Herrmann, Stefan Kasper, Rainer Kimmig, Stephan Lang, Tienush Rassaf, Alexander Roesch, Dirk Schadendorf, Jens T. Siveke, Martin Stuschke, Ulrich Sure, Matthias Totzeck, Anja Welt, Marcel Wiesweg, Hideo A. Baba, Felix Nensa, Jan Egger, Klaus-Robert Müller, Martin Schuler, Frederick Klauschen, Jens Kleesiek
Nature Cancer 2024
Prognostic value of deep learning-derived body composition in advanced pancreatic cancer—a retrospective multicenter study
Julius Keyl, Andreas Bucher, F. Jungmann, René Hosch, A. Ziller, R. Armbruster, P. Malkomes, T. M. Reissig, Sven Koitka, I. Tzianopoulos, Philipp Keyl, K. Kostbade, David Albers, Peter Markus, Jürgen Treckmann, Kai Nassenstein, Johannes Haubold, Marcus R. Makowski, Michael Forsting, Hideo A. Baba, Stefan Kasper, Jens T. Siveke, Felix Nensa, Martin Schuler, Georgios Kaissis, Jens Kleesiek, Rickmer Braren
ESMO Open 2023
1294 External validation of machine learning models to predict efficacy and toxicity of immune checkpoint inhibitors using real-world pan cancer cohorts
Zoltan Kiss, Levente Lippenszky, Balazs Laczi, Pablo Napan-Molina, Eszter Csernai, Alexander Brehmer, Moon-Sung Kim, Julius Keyl, Jens T. Siveke, Moritz Meyer, Viktor Grünwald, Stefan Kasper, Alexander Roesch, Martin Schuler, Travis Osterman, Jan Wolber, Jens Kleesiek
Journal for ImmunoTherapy of Cancer
Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence
Julius Keyl, Philipp Keyl, Grégoire Montavon, René Hosch, Alexander Brehmer, Liliana Mochmann, Philipp Jurmeister, Gabriel Dernbach, Moon-Sung Kim, Sven Koitka, Sebastian Bauer, Nikolaos Bechrakis, Michael Forsting, Dagmar Fuehrer-Sakel, Martin Glas, Viktor Gruenwald, Boris Hadaschik, Johannes Haubold, Ken Herrmann, Stefan Kasper, Rainer Kimmig, Tienush Rassaf, Alexander Roesch, Dirk Schadendorf, Jens T. Siveke, Martin Stuschke, Ulrich Sure, Matthias Totzeck, Anja Welt, Marcel Wiesweg, Hideo A. Baba, Felix Nensa, Jan Egger, Klaus-Robert Mueller, Martin Schuler, Frederick Klauschen, Jens Kleesiek
medRxiv
Histology-Based Prediction of Therapy Response to Neoadjuvant Chemotherapy for Esophageal and Esophagogastric Junction Adenocarcinomas Using Deep Learning
Fabian Hörst, Saskia Ting, Sven-Thorsten Liffers, Kelsey L. Pomykala, Katja Steiger, Markus Albertsmeier, Martin K. Angele, Sylvie Lorenzen, Michael Quante, Wilko Weichert, Jan Egger, Jens T. Siveke, Jens Kleesiek
JCO Clinical Cancer Informatics
CellViT: Vision Transformers for Precise Cell Segmentation and Classification
Fabian Hörst, Moritz Rempe, Lukas Heine, Constantin Seibold, Julius Keyl, Giulia Baldini, Selma Ugurel, Jens T. Siveke, Barbara Grünwald, Jan Egger, Jens Kleesiek
arXiv
Histology-based Prediction of Therapy Response to Neoadjuvant Chemotherapy for Esophageal and Esophagogastric Junction Adenocarcinomas Using Deep Learning
Fabian Hörst, Saskia Ting, Sven-Thorsten Liffers, Kelsey L. Pomykala, Katja Steiger, Markus Albertsmeier, Marting K. Angele, Sylvie Lorenzen, Michael Quante, Wilko Weichert, Jan Egger, Jens T. Siveke, Jens Kleesiek
medRxiv
Lean Study Host: Towards an Automated Pipeline for Multi-Center Study Hosting
Lukas Heine, Fabian Hörst, Enrico Nasca, Jens T. Siveke, Jan Egger, Moon-Sung Kim, Fin Hendrik Bahnsen, Jens Kleesiek
Proceedings of the 57th Hawaii International Conference on System Sciences 2022
Multimodal survival prediction in advanced pancreatic cancer using machine learning
Julius Keyl, Stefan Kasper, Marcel Wiesweg, J. Götze, M. Schönrock, M. Sinn, Aaron Berger, Enrico Nasca, K. Kostbade, B. Schumacher, Peter Markus, David Albers, Jürgen Treckmann, K. W. Schmid, H. -U. Schildhaus, Jens T. Siveke, Martin Schuler, Jens Kleesiek
ESMO Open 
