Publications
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 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 
