Publications
2026
Automatic field-of-view planning for magnetic resonance shoulder imaging using Deep Learning
Anton Sheahan Quinsten, Simon Hornisch, Marcel Gratz, Mathias Holtkamp, Michael Forsting, Kai Nassenstein, Lale Umutlu, Armin Lühr, Jens Kleesiek, Moon-Sung Kim, Aydin Demircioğlu
Journal of Medical Imaging and Radiation Sciences 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 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 
