Michael Forsting

Michael Forsting

Chair Radiology Department

University Hospital Essen

Publications

2026

An explainable transformer model learning from entire treatment timelines for pan-cancer risk profiling across healthcare systems Philipp Keyl, Niklas Kiermeyer, Jonah Bosserhoff, Tim Lenfers, Thibault Niederhauser, Bowen Fan, Thomas Schnake, Simon Schallenberg, Fabio Aubele, Solveig Kuss, Mina Jamshidi Idaji, Philipp Jurmeister, Moon Kim, Sebastian Bauer, Nikolaos Bechrakis, Michael Forsting, Dagmar Führer-Sakel, Martin Glas, Viktor Grünwald, Boris Hadaschik, Ken Herrmann, Stefan Kasper-Virchow, Rainer Kimmig, Stephan Lang, Ina Pretzell, Tienush Rassaf, Alexander Rösch, Jens T. Siveke, Maja Guberina, Ulrich Sure, Marc Wichert, Michael Ingrisch, Kristian Unger, Jürgen Behr, Daniel Teupser, Christian G. Stief, Julia Mayerle, Nadia Harbeck, Amanda Tufman, Jens Ricke, Lars H. Lindner, Siegfried Priglinger, Günter Höglinger, Sven Mahner, Martin Canis, Lucie Heinzerling, Christine Spitzweg, Alpaslan Tasdogan, Matthias Totzeck, Anja Welt, Marcel Wiesweg, C. Benedikt Westphalen, Reinhard Thasler, Fady Albashiti, Grégoire Montavon, Nicola Miglino, Zsolt Balazs, Michael von Bergwelt-Baildon, Volker Heinemann, Claus Belka, Sylvia Hartmann, Andreas Wicki, Felix Nensa, Dirk Schadendorf, Michael Krauthammer, Klaus-Robert Müller, Martin Schuler, Frederick Klauschen, Jens Kleesiek, Julius Keyl medRxiv 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 Kim, Aydin Demircioğlu Journal of Medical Imaging and Radiation Sciences 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 Kim, Sebastian Bauer, Nikolaos Bechrakis, Michael Forsting, Dagmar Führer-Sakel, Sied Kebir, Viktor Grünwald, Boris Hadaschik, Johannes Haubold, Ken Herrmann, Stefan Kasper-Virchow, Rainer Kimmig, Stephan Lang, Tienush Rassaf, Alexander Rösch, 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

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-Virchow, 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 Kim, Stefan Kasper-Virchow, 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 Kim, Sven Koitka, Sebastian Bauer, Nikolaos Bechrakis, Michael Forsting, Dagmar Führer-Sakel, Martin Glas, Viktor Grünwald, Boris Hadaschik, Johannes Haubold, Ken Herrmann, Stefan Kasper-Virchow, Rainer Kimmig, Stephan Lang, Tienush Rassaf, Alexander Rösch, 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-Virchow, 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 Kim, Sven Koitka, Sebastian Bauer, Nikolaos Bechrakis, Michael Forsting, Dagmar Führer-Sakel, Martin Glas, Viktor Grünwald, Boris Hadaschik, Johannes Haubold, Ken Herrmann, Stefan Kasper-Virchow, Rainer Kimmig, Tienush Rassaf, Alexander Rösch, 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 medRxiv Information extraction from weakly structured radiological reports with natural language queries Amin Dada, Tim Leon Ufer, Moon Kim, Max Hasin, Nicola Spieker, Michael Forsting, Felix Nensa, Jan Egger, Jens Kleesiek European Radiology 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

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-Virchow, Jens Kleesiek Journal of Cachexia, Sarcopenia and Muscle Deep Learning–driven classification of external DICOM studies for PACS archiving Frederic Jonske, Maximilian Dederichs, Moon Kim, Julius Keyl, Jan Egger, Lale Umutlu, Michael Forsting, Felix Nensa, Jens Kleesiek European Radiology 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

2020

Joint Imaging Platform for Federated Clinical Data Analytics Jonas Scherer, Marco Nolden, Jens Kleesiek, Jasmin Metzger, Klaus Kades, Verena Schneider, Michael Bach, Oliver Lukas Sedlaczek, Andreas Bucher, Thomas J. Vogl, Frank Grünwald, Jens-Peter Kühn, Ralf-Thorsten Hoffmann, Jörg Kotzerke, Oliver Bethge, Lars Schimmöller, Gerald Antoch, Hans-Wilhelm Müller, Andreas Daul, Konstantin Nikolaou, Christian la Fougère, Wolfgang G. Kunz, Michael Ingrisch, Balthasar Schachtner, Jens Ricke, Peter Bartenstein, Felix Nensa, Alexander Radbruch, Lale Umutlu, Michael Forsting, Robert Seifert, Ken Herrmann, Philipp Mayer, Hans-Ulrich Kauczor, Tobias Penzkofer, Bernd Hamm, Winfried Brenner, Roman Klöckner, Christoph Düber, Mathias Schreckenberger, Rickmer Braren, Georgios Kaissis, Marcus R. Makowski, Matthias Eiber, Andrei Gafita, Rupert Trager, Wolfgang A. Weber, Jakob Neubauer, Marco Reisert, Michael Bock, Fabian Bamberg, Jürgen Hennig, Philipp Tobias Meyer, Juri Ruf, Uwe Haberkorn, Stefan O. Schönberg, Tristan Kuder, Peter Neher, Ralf Floca, Heinz-Peter Schlemmer, Klaus Maier-Hein JCO Clinical Cancer Informatics

2019

Can Virtual Contrast Enhancement in Brain MRI Replace Gadolinium?: A Feasibility Study Jens Kleesiek, Jan Nikolas Morshuis, Fabian Isensee, Katerina Deike-Hofmann, Daniel Paech, Philipp Kickingereder, Ullrich Köthe, Carsten Rother, Michael Forsting, Wolfgang Wick, Martin Bendszus, Heinz-Peter Schlemmer, Alexander Radbruch Investigative Radiology