Publications
2026
Contrastive virtual staining enhances deep learning-based PDAC subtyping from H&E-stained tissue cores
Maximilian Fischer, Alexander Muckenhuber, Robin Peretzke, Luay Farah, Constantin Ulrich, Sebastian Ziegler, Philipp Schader, Lorenz Feineis, Hanno Gao, Shuhan Xiao, Michael Götz, Marco Nolden, Katja Steiger, Jens T. Siveke, Lukas Endrös, Rickmer Braren, Jens Kleesiek, Peter Schüffler, Peter Neher, Klaus Maier-Hein
The Journal of Pathology 2025
Unlocking the potential of digital pathology: Novel baselines for compression
Maximilian Fischer, Peter Neher, Peter Schüffler, Sebastian Ziegler, Shuhan Xiao, Robin Peretzke, David Clunie, Constantin Ulrich, Michael Baumgartner, Alexander Muckenhuber, Silvia Dias Almeida, Michael Götz, Jens Kleesiek, Marco Nolden, Rickmer Braren, Klaus Maier-Hein
Journal of Pathology Informatics
Learned Image Compression for HE-Stained Histopathological Images via Stain Deconvolution
Maximilian Fischer, Peter Neher, Tassilo Wald, Silvia Dias Almeida, Shuhan Xiao, Peter Schüffler, Rickmer Braren, Michael Götz, Alexander Muckenhuber, Jens Kleesiek, Marco Nolden, Klaus Maier-Hein
Medical Optical Imaging and Virtual Microscopy Image Analysis 2024
Real-world federated learning in radiology: hurdles to overcome and benefits to gain
Markus Ralf Bujotzek, Ünal Akünal, Stefan Denner, Peter Neher, Maximilian Zenk, Eric Frodl, Astha Jaiswal, Moon-Sung Kim, Nicolai R Krekiehn, Manuel Nickel, Richard Ruppel, Marcus Both, Felix Döllinger, Marcel Klaus Opitz, Thorsten Persigehl, Jens Kleesiek, Tobias Penzkofer, Klaus Maier-Hein, Andreas Bucher, Rickmer Braren
Journal of the American Medical Informatics Association
Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning
Maximilian Fischer, Peter Neher, Peter Schüffler, Shuhan Xiao, Silvia Dias Almeida, Constantin Ulrich, Alexander Muckenhuber, Rickmer Braren, Michael Götz, Jens Kleesiek, Marco Nolden, Klaus Maier-Hein
Machine Learning in Medical Imaging 2023
Prediction of Bone Marrow Biopsy Results From MRI in Multiple Myeloma Patients Using Deep Learning and Radiomics
Markus Wennmann, Wenlong Ming, Fabian Bauer, Jiri Chmelik, André Klein, Charlotte Uhlenbrock, Martin Grözinger, Kim-Celine Kahl, Tobias Nonnenmacher, Manuel Debic, Thomas Hielscher, Heidi Thierjung, Lukas Thomas Rotkopf, Nikolas Stanczyk, Sandra Sauer, Anna Jauch, Michael Götz, Felix T Kurz, Kai Schlamp, Marius Horger, Saif Afat, Britta Besemer, Martin Hoffmann, Johannes Hoffend, Doris Kraemer, Ullrich Graeven, Adrian Ringelstein, David Bonekamp, Jens Kleesiek, Ralf Floca, Jens Hillengass, Elias K Mai, Niels Weinhold, Tim F. Weber, Hartmut Goldschmidt, Heinz-Peter Schlemmer, Klaus Maier-Hein, Stefan Delorme, Peter Neher
Investigative Radiology 2022
Combining deep learning and radiomics for automated, objective, comprehensive bone marrow characterization from whole-body MRI: a multicentric feasibility study
Markus Wennmann, André Klein, Fabian Bauer, Jiri Chmelik, Martin Grözinger, Charlotte Uhlenbrock, Jakob Lochner, Tobias Nonnenmacher, Lukas Thomas Rotkopf, Sandra Sauer, Thomas Hielscher, Michael Götz, Ralf Floca, Peter Neher, David Bonekamp, Jens Hillengass, Jens Kleesiek, Niels Weinhold, Tim F. Weber, Hartmut Goldschmidt, Stefan Delorme, Klaus Maier-Hein, Heinz-Peter Schlemmer
Investigative radiology
In Vivo Repeatability and Multiscanner Reproducibility of MRI Radiomics Features in Patients With Monoclonal Plasma Cell Disorders
Markus Wennmann, Fabian Bauer, André Klein, Jiri Chmelik, Martin Grözinger, Lukas Thomas Rotkopf, Peter Neher, Regula Gnirs, Felix T Kurz, Tobias Nonnenmacher, Sandra Sauer, Niels Weinhold, Hartmut Goldschmidt, Jens Kleesiek, David Bonekamp, Tim F. Weber, Stefan Delorme, Klaus Maier-Hein, Heinz-Peter Schlemmer, Michael Götz
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 Kloeckner, 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. Schoenberg, Tristan Kuder, Peter Neher, Ralf Floca, Heinz-Peter Schlemmer, Klaus Maier-Hein
JCO Clinical Cancer Informatics 
