Julius Keyl

Julius Keyl

Teamleitung RWD xAI

Institut für Künstliche Intelligenz in der Medizin

Julius studierte Medizin an der LMU München mit Schwerpunkt auf Krebsimmuntherapie und computergestützter Onkologie. Er ist derzeit Clinician Scientist am IKIM, wo er erklärbare KI und multimodale Daten im großen Maßstab kombiniert, um Therapieentscheidungen für Krebspatienten zu verbessern. Sein Ziel sind personalisierte KI-Modelle auf Basis von Real-World-Daten, die als patientenspezifische digitale Zwillinge in der Routineversorgung dienen.

Publikationen

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 Umsetzung der Leitlinienempfehlungen einer organprotektiven Therapie bei Menschen mit Typ-2-Diabetes und Herz-Kreislauf-Erkrankungen, Herzinsuffizienz oder Nierenerkrankungen: Erkenntnisse aus der Praxis einer deutschen Universitätsklinik Karzan Suliman, Young Hee Lee-Barkey, Alexander Brehmer, Bernd Stratmann, Jasmin M. Klose, Tim Lenfers, Jens Kleesiek, Susanne Reger-Tan, Julius Keyl Diabetologie und Stoffwechsel CellViT++: Energy-Efficient and Adaptive Cell Segmentation and Classification Using Foundation Models Fabian Hörst, Moritz Rempe, Helmut Becker, Lukas Heine, Julius Keyl, Jens Kleesiek Computer Methods and Programs in Biomedicine 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 Automated Tumor International Classification of Diseases Coding of Real-World Pathology Reports Using Self-Hosted Large Language Models Kamyar Arzideh, René Hosch, Amin Turki, Bahadir Eryilmaz, Mikel Bahn, Henning Schäfer, Ahmad Idrissi-Yaghir, Sameh Khattab, Amin Dada, Hideo A. Baba, Dirk Schadendorf, Martin Schuler, Jens Kleesiek, Sylvia Hartmann, Felix Nensa, Julius Keyl JCO Clinical Cancer Informatics Deep Learning-derived Sarcopenia Marker Predicts Benefit from Anti-EGFR Therapy in Patients with RAS Wild-Type Metastatic Colorectal Cancer Julius Keyl, René Hosch, Fabian Hörst, Philipp Keyl, Amin Dada, Johannes Haubold, Jannis Straus, Jan Egger, Arndt Stahler, Annika Kurreck, Alexej Ballhausen, Sebastian Stintzing, Stefan Fruehauf, Lothar Müller, Annabel H. S. Alig, Tanja Trarbach, Sylvia Hartmann, Felix Nensa, Jens Kleesiek, Stefan Kasper, Martin Schuler, Dominik P. Modest Clinical Cancer Research Implementation of guideline-recommended organ-protective therapy in people with type 2 diabetes and cardiovascular disease, heart failure, or kidney disease: real-world evidence from a German University Hospital Karzan Suliman, Young Hee Lee-Barkey, Alexander Brehmer, Bernd Stratmann, Jasmin M. Klose, Tim Lenfers, Jens Kleesiek, Susanne Reger-Tan, Julius Keyl Frontiers in Endocrinology Improving Medical Visual Instruction Tuning with Labeled Datasets Amin Dada, Amanda Butler Contreras, Constantin Seibold, Osman Alperen Koraş, Julius Keyl, Aokun Chen, Cheng Peng, Alexander Brehmer, Kaleb Smith, Jiang Bian, Yonghui Wu, Jens Kleesiek Foundation Models for General Medical AI

2025

Automated CT-based sarcopenia assessment for risk stratification of patients undergoing colorectal cancer resection Johannes Vogelsang, Gernot Pucher, Fabian Hörst, René Hosch, Johannes Haubold, Philipp Keyl, Christopher Sauer, David Albers, Peter Markus, Jan P. Neuhaus, Andreas D. Rink, Jürgen Treckmann, Ulf Peter Neumann, Kai Nassenstein, Michael Forsting, Hideo A. Baba, Jan Egger, Stefan Kasper, Martin Schuler, Felix Nensa, Jens Kleesiek, Julius Keyl Clinical Surgical Oncology 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 Characterizing and Predicting End-of-Life Patient Trajectories Using Routine Clinical Data Jonah Bosserhoff, Julius Keyl, Tim Lenfers, Dagmar Fuehrer-Sakel, Marc Wichert, Frederick Klauschen, Martin Schuler, Sylvia Hartmann, Philipp Keyl, Jens Kleesiek 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 MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision Jianning Li, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Yuan Jin, Narmada Ambigapathy, Enrico Nasca, Naida Solak, Gian Marco Melito, Afaque Rafique Memon, Xiaojun Chen, Jan Stefan Kirschke, Ezequiel de la Rosa, Patrick Ferdinand Christ, Hongwei Bran Li, David G. Ellis, Michele R. Aizenberg, Sergios Gatidis, Thomas Kuestner, Nadya Shusharina, Nicholas Heller, Vincent Andrearczyk, Adrien Depeursinge, Mathieu Hatt, Anjany Sekuboyina, Maximilian Loeffler, Hans Liebl, Reuben Dorent, Tom Vercauteren, Jonathan Shapey, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Achraf Ben-Hamadou, Ahmed Rekik, Sergi Pujades, Edmond Boyer, Federico Bolelli, Costantino Grana, Luca Lumetti, Hamidreza Salehi, Jun Ma, Yao Zhang, Ramtin Gharleghi, Susann Beier, Eduardo A. Garza-Villarreal, Thania Balducci, Diego Angeles-Valdez, Roberto Souza, Leticia Rittner, Richard Frayne, Yuanfeng Ji, Soumick Chatterjee, Andreas Nuernberger, Joao Pedrosa, Carlos Ferreira, Guilherme Aresta, Antonio Cunha, Aurelio Campilho, Yannick Suter, Jose Garcia, Alain Lalande, Emmanuel Audenaert, Claudia Krebs, Timo Van Leeuwen, Evie Vereecke, Rainer Roehrig, Frank Hoelzle, Vahid Badeli, Kathrin Krieger, Matthias Gunzer, Jianxu Chen, Amin Dada, Miriam Balzer, Jana Fragemann, Frederic Jonske, Moritz Rempe, Stanislav Malorodov, Fin Hendrik Bahnsen, Constantin Seibold, Alexander Jaus, Ana Sofia Ferreira Santos, Mariana Lindo, André Ferreira, Victor Alves, Michael Kamp, Amr Abourayya, Felix Nensa, Fabian Hoerst, Alexander Brehmer, Lukas Heine, Lars E. Podleska, Matthias A. Fink, Julius Keyl, Konstantinos Tserpes, Moon-Sung Kim, Shireen Elhabian, Hans Lamecker, Dzenan Zukic, Beatriz Paniagua, Christian Wachinger, Martin Urschler, Luc Duong, Jakob Wasserthal, Peter F. Hoyer, Oliver Basu, Thomas Maal, Max J. H. Witjes, Ping Luo, Björn Menze, Mauricio Reyes, Christos Davatzikos, Behrus Puladi, Jens Kleesiek, Jan Egger, Zongwei Zhou, Jiancheng Yang, Chongyu Qu, Tiezheng Zhang, Xiaoxi Chen, Wenxuan Li, Marek Wodzinski, Paul Friedrich, Kangxian Xie, Viet Duc Vu, Christopher Schlachta, Sandrine De Ribaupierre, Rajnikant Patel, Roy Eagleson, Heinrich Mächler, Thomas Küstner, Arcot Sowmya, Vincenzo Ferrari, Florian Dubost, Stefanie Schreiber, Hendrik Mattern, Oliver Speck, Daniel Haehn, Christoph John, Vicky Vandenbossche, Aline Van Oevelen, Kate Duquesne, Hamza Mekhzoum, Jef Vandemeulebroucke, Hauke Heidemeyer, Rainer Röhrig, Frank Hölzle, Timo van Meegdenburg, Zdravko Marinov, Paul F. Jäger, Rainer Stiefelhagen, Fabian Hörst, Yannik Hanusrichter, Martin Weßling, Marcel Dudda, Gregor Schiele, Ti-chiun Chang, Seyed-Ahmad Ahmadi, Thomas M. Deserno, Pascal Fua, Alan L. Yuille Biomedical Engineering / Biomedizinische Technik ABO-Blood Group Associates With Survival Outcomes in Patients With Metastatic Non-Small Cell Lung Cancer Treated With Pembrolizumab Monotherapy Franziska Certa, Peter A. Horn, Julius Keyl, Bastian Mende, Smiths Lueong, Thomas Hilser, Sarah Theurer, Isabel Virchow, Yasmin Zaun, Michael Pogorzelski, Martin Metzenmacher, Halime Kalkavan, Stefan Kasper, Martin Schuler, Marcel Wiesweg, Gregor Zaun Thoracic Cancer

2024

Establishing Medical Intelligence - Leveraging FHIR to Improve Clinical Management: a retrospective cohort and clinical implementation study Alexander Brehmer, Christopher Sauer, Jayson Salazar Rodríguez, Kelsey Herrmann, Moon-Sung Kim, Julius Keyl, Fin Hendrik Bahnsen, Benedikt Frank, Martin Koehrmann, Tienush Rassaf, Amir-Abbas Mahabadi, Boris Hadaschik, Christopher Darr, Ken Herrmann, Susanne Tan, Jan Buer, Thorsten Brenner, Hans Christian Reinhardt, Felix Nensa, Michael Gertz, Jan Egger, Jens Kleesiek Journal of Medical Internet Research 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 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 Establishing Medical Intelligence - Leveraging FHIR to Improve Clinical Management Alexander Brehmer, Christopher Sauer, Jayson Salazar, Kelsey Hermmann, Moon-Sung Kim, Julius Keyl, Fin Hendrik Bahnsen, Benedikt Frank, Martin Köhrmann, Tienush Rassaf, Amir-Abbas Mahabadi, Boris Hadaschik, Christopher Darr, Ken Herrmann, Susanne Tan, Jan Buer, Thorsten Brenner, Hans Christian Reinhardt, Felix Nensa, Michael Gertz, Jan Egger, Jens Kleesiek Valuing vicinity: Memory attention framework for context-based semantic segmentation in histopathology Oliver Ester, Fabian Hörst, Constantin Seibold, Julius Keyl, Saskia Ting, Nikolaos Vasileiadis, Jessica Schmitz, Philipp Ivanyi, Viktor Grünwald, Jan Hinrich Bräsen, Jan Egger, Jens Kleesiek Computerized Medical Imaging and Graphics

2022

Deep learning-based assessment of body composition and liver tumor burden for survival modeling in advanced colorectal cancer Julius Keyl, René Hosch, Aaron Berger, Oliver Ester, Tobias Greiner, Simon Bogner, Jürgen Treckmann, Saskia Ting, Brigitte Schuchmacher, David Albers, Peter Markus, Marcel Wiesweg, Michael Forsting, Felix Nensa, Martin Schuler, Stefan Kasper, Jens Kleesiek Journal of Cachexia, Sarcopenia and Muscle 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 Valuing Vicinity: Memory attention framework for context-based semantic segmentation in histopathology Oliver Ester, Fabian Hörst, Constantin Seibold, Julius Keyl, Saskia Ting, Nikolaos Vasileiadis, Jessica Schmitz, Philipp Ivanyi, Viktor Grünwald, Jan Hinrich Bräsen, Jan Egger, Jens Kleesiek arXiv Deep Learning–driven classification of external DICOM studies for PACS archiving Frederic Jonske, Maximilian Dederichs, Moon-Sung Kim, Julius Keyl, Jan Egger, Lale Umutlu, Michael Forsting, Felix Nensa, Jens Kleesiek European Radiology