Publications
2025
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 2024
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
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
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 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
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 
