Publications
2026
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
Reporting checklist for foundation and large language models in medical research (REFINE): an international consensus guideline
Ismail Mese, Tugba Akinci D’Antonoli, Christian Bluethgen, Keno K. Bressem, Renato Cuocolo, Akshay Chaudhari, Ali S. Tejani, Amanda Isaac, Andrea Ponsiglione, Aymen Meddeb, Bardia Khosravi, Bastien Le Guellec, Charles E. Kahn, Chong Hyun Suh, Daniel Pinto dos Santos, Dow-Mu Koh, Eleftherios Tzanis, Elmar Kotter, Errol Colak, Felipe Kitamura, Felix Busch, Felix Nensa, Guang Yang, Henning Müller, Jakob Nikolas Kather, Jawed Nawabi, Jens Kleesiek, Jingyu Zhong, João Santinha, Johannes Haubold, José Guilherme De Almeida, Karim Lekadir, Kostas Marias, Lara Noelle Reiner, Lena Maier-Hein, Linda Moy, Lisa C. Adams, Luis Martí-Bonmatí, Magdalini Paschali, Mana Moassefi, Matthias Dietzel, Merel Huisman, Michael Ingrisch, Michail E. Klontzas, Nikolaos Papanikolaou, Oliver Diaz, Paulo Kuriki, Philipp Seeböck, Pouria Rouzrokh, Quirin D. Strotzer, Seong Ho Park, Shahriar Faghani, Soroosh Tayebi Arasteh, Su Hwan Kim, Vasantha Kumar Venugopal, Woojin Kim, Burak Kocak
Diagnostic and Interventional Radiology
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
Efficient Complex-Valued Vision Transformers for MRI Classification Directly from k-Space
Moritz Rempe, Lukas Thomas Rotkopf, Marco Schlimbach, Helmut Becker, Fabian Hörst, Johannes Haubold, Philipp Dammann, Kevin Kröninger, Jens Kleesiek
arXiv 2025
International Retrospective Observational Study of Continual Learning for AI on Endotracheal Tube Placement from Chest Radiographs
Emma Chen, Agustina Saenz, Oishi Banerjee, Henrik Marklund, Xiaoman Zhang, Shreya Johri, Hong-Yu Zhou, Luyang Luo, Subathra Adithan, Kay Wu, Siddhant Dogra, Vijay Janapa Reddi, Dominic Buensalido, Helen Kavnoudias, Roman Kloeckner, Lukas Müller, Emmanuel Salinas-Miranda, Maria José Veloza Vega, Johannes Kolck, Tobias Penzkofer, Daiju Ueda, Shannon L. Walston, Armin Alvaro Quispe-Cornejo, Michele Salvagno, Christopher Lee, Jonathan Fournier, Rosa Patricia Castillo, Cibele Luna, Tara Bahramipour, Amanda Zuback, Rickmer Braren, Petra Jiraskova, Yutthaphan Wannasopha, Piyapong Khumrin, Desmond Lim Shi Wei Wei, James Thomas Patrick Decourcy Hallinan, Zhicheng Jiao, Thomas Yi, Juana Maria Plasencia Martinez, Nuria Isabel Casado Alarcon, Franz A. Fellner, Julian F. Niedermair, Derek Wu, Dongkeun Kim, Johannes Haubold, Lars Heiliger, Daniel Pérez-Chada, Pablo Pratesi, Ryan Cummings, Narges Razavian, Anastasia Oikonomou, William T. Tran, Thomas Küstner, Saif Afat, Adrienne N. Dula, Justin F. Rousseau, Franko Hržić, Michael Fuchsjäger, Pranav Rajpurkar
NEJM AI
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
Automated 3D-Body Composition Analysis as a Predictor of Survival in Patients With Idiopathic Pulmonary Fibrosis
Luca Salhöfer, Francesco Bonella, Mathias Meetschen, Lale Umutlu, Michael Forsting, Benedikt Michael Schaarschmidt, Marcel Klaus Opitz, Jens Kleesiek, René Hosch, Sven Koitka, Vicky Parmar, Felix Nensa, Johannes Haubold
Journal of Thoracic Imaging
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
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries
Frederic Jonske, Moon-Sung Kim, Enrico Nasca, Janis Evers, Johannes Haubold, René Hosch, Felix Nensa, Michael Kamp, Constantin Seibold, Jan Egger, Jens Kleesiek
Computer Methods and Programs in Biomedicine 2024
Towards Unifying Anatomy Segmentation: Automated Generation of a Full-Body CT Dataset
Alexander Jaus, Constantin Seibold, Kelsey Hermann, Negar Shahamiri, Alexandra Walter, Kristina Giske, Johannes Haubold, Jens Kleesiek, Rainer Stiefelhagen
2024 IEEE International Conference on Image Processing (ICIP)
AI-derived body composition parameters as prognostic factors in patients with HCC undergoing TACE in a multicenter study
Lukas Müller, Aline Mähringer-Kunz, Timo Alexander Auer, Uli Fehrenbach, Bernhard Gebauer, Johannes Haubold, Benedikt Michael Schaarschmidt, Moon-Sung Kim, René Hosch, Felix Nensa, Jens Kleesiek, Thierno D. Diallo, Michel Eisenblätter, Hanna Kuzior, Natascha Roehlen, Dominik Bettinger, Verena Steinle, Philipp Mayer, David Zopfs, Daniel Pinto dos Santos, Roman Kloeckner
JHEP Reports
Automated 3D-Body Composition Analysis as a Predictor of Survival in Patients With Idiopathic Pulmonary Fibrosis
Luca Salhöfer, Francesco Bonella, Mathias Meetschen, Lale Umutlu, Michael Forsting, Benedikt Michael Schaarschmidt, Marcel Klaus Opitz, Jens Kleesiek, René Hosch, Sven Koitka, Vicky Parmar, Felix Nensa, Johannes Haubold
Journal of Thoracic Imaging
k-strip: A novel segmentation algorithm in k-space for the application of skull stripping
Moritz Rempe, Florian Mentzel, Kelsey L. Pomykala, Johannes Haubold, Felix Nensa, Kevin Kroeninger, Jan Egger, Jens Kleesiek
Computer Methods and Programs in Biomedicine
Multilingual Natural Language Processing Model for Radiology Reports -- The Summary is all you need!
Mariana Lindo, Ana Sofia Ferreira Santos, André Ferreira, Jianning Li, Gijs Luijten, Gustavo Correia, Moon-Sung Kim, Benedikt Michael Schaarschmidt, Cornelius Deuschl, Johannes Haubold, Jens Kleesiek, Jan Egger, Victor Alves
arXiv
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
ReXamine-Global: A Framework for Uncovering Inconsistencies in Radiology Report Generation Metrics
Oishi Banerjee, Agustina Saenz, Kay Wu, Warren Clements, Adil Zia, Dominic Buensalido, Helen Kavnoudias, Alain S Abi-Ghanem, Nour El Ghawi, Cibele Luna, Patricia Castillo, Khaled Al-Surimi, Rayyan A. Daghistani, Yuh-Min Chen, Heng-sheng Chao, Lars Heiliger, Moon-Sung Kim, Johannes Haubold, Frederic Jonske, Pranav Rajpurkar
arXiv preprint arXiv:2408.16208 2023
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
Towards Unifying Anatomy Segmentation: Automated Generation of a Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines
Alexander Jaus, Constantin Seibold, Kelsey Hermann, Alexandra Walter, Kristina Giske, Johannes Haubold, Jens Kleesiek, Rainer Stiefelhagen
arXiv
Contrast Agent Dose Reduction in MRI Utilizing a Generative Adversarial Network in an Exploratory Animal Study
Johannes Haubold, Gregor Jost, Jens Matthias Theysohn, Johannes Maximilian Ludwig, Yan Li, Jens Kleesiek, Benedikt Michael Schaarschmidt, Michael Forsting, Felix Nensa, Hubertus Pietsch, René Hosch
Investigative Radiology 2022
Biomarkers extracted by fully automated body composition analysis from chest CT correlate with SARS-CoV-2 outcome severity
René Hosch, Simone Kattner, Marc Moritz Berger, Thorsten Brenner, Johannes Haubold, Jens Kleesiek, Sven Koitka, Lennard Kroll, Anisa Kureishi, Nils Flaschel, Felix Nensa
Scientific Reports
CT-derived body composition analysis could possibly replace DXA and BIA to monitor NET-patients
Lennard Kroll, Annie Mathew, Giulia Baldini, René Hosch, Sven Koitka, Jens Kleesiek, Christoph Rischpler, Johannes Haubold, Dagmar Führer, Felix Nensa, Harald Lahner
Scientific Reports
Low bone mineral density is a prognostic factor for elderly patients with HCC undergoing TACE: results from a multicenter study
Lukas Müller, Aline Mähringer-Kunz, Timo Alexander Auer, Uli Fehrenbach, Bernhard Gebauer, Johannes Haubold, Jens Matthias Theysohn, Moon-Sung Kim, Jens Kleesiek, Thierno D. Diallo, Michel Eisenblätter, Dominik Bettinger, Verena Steinle, Philipp Mayer, David Zopfs, Daniel Pinto dos Santos, Roman Kloeckner
European Radiology
Artificial intelligence guided enhancement of digital PET: scans as fast as CT?
René Hosch, Manuel Weber, Miriam Sraieb, Nils Flaschel, Johannes Haubold, Moon-Sung Kim, Lale Umutlu, Jens Kleesiek, Ken Herrmann, Felix Nensa, Christoph Rischpler, Sven Koitka, Robert Seifert, David Kersting
European Journal of Nuclear Medicine and Molecular Imaging
k-strip: A novel segmentation algorithm in k-space for the application of skull stripping
Moritz Rempe, Florian Mentzel, Kelsey L. Pomykala, Johannes Haubold, Felix Nensa, Kevin Kröninger, Jan Egger, Jens Kleesiek
Contrast Media Reduction in Computed Tomography With Deep Learning Using a Generative Adversarial Network in an Experimental Animal Study
Johannes Haubold, Gregor Jost, Jens Matthias Theysohn, Johannes Maximilian Ludwig, Yan Li, Jens Kleesiek, Benedikt Michael Schaarschmidt, Michael Forsting, Felix Nensa, Hubertus Pietsch, René Hosch
Investigative Radiology 
