Maximilian Schulze-Hagen

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 6

Top Topics

Clinical Trials

Image Generation

Bone Segmentation

Top Venues

Medical Image Anal.

Bildverarbeitung für die Medizin

Nat. Mac. Intell.

Publications

Daniel Truhn, Soroosh Tayebi Arasteh, Oliver Lester Saldanha, Gustav Müller-Franzes, Firas Khader, Philip Quirke, Nicholas P. West, Richard Gray, Gordon G. A. Hutchins, Jacqueline A. James, Maurice B. Loughrey, Manuel Salto-Tellez, Hermann Brenner, Alexander Brobeil, Tanwei Yuan, Jenny Chang-Claude, Michael Hoffmeister, Sebastian Foersch, Tianyu Han, Sebastian Keil, Maximilian Schulze-Hagen, Peter Isfort, Philipp Bruners, Georgios Kaissis, Christiane Kuhl, Sven Nebelung, Jakob Nikolas Kather
Encrypted federated learning for secure decentralized collaboration in cancer image analysis. Medical Image Anal. 92 (2024)
Tianyu Han, Jakob Nikolas Kather, Federico Pedersoli, Markus Zimmermann, Sebastian Keil, Maximilian Schulze-Hagen, Marc Terwoelbeck, Peter Isfort, Christoph Haarburger, Fabian Kiessling, Christiane Kuhl, Volkmar Schulz, Sven Nebelung, Daniel Truhn
Image prediction of disease progression for osteoarthritis by style-based manifold extrapolation. Nat. Mac. Intell. 4 (11) (2022)
Firas Khader, Gustav Mueller-Franzes, Soroosh Tayebi Arasteh, Tianyu Han, Christoph Haarburger, Maximilian Schulze-Hagen, Philipp Schad, Sandy Engelhardt, Bettina Baeßler, Sebastian Foersch, Johannes Stegmaier, Christiane Kuhl, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn
Medical Diffusion - Denoising Diffusion Probabilistic Models for 3D Medical Image Generation. CoRR (2022)
Tianyu Han, Jakob Nikolas Kather, Federico Pedersoli, Markus Zimmermann, Sebastian Keil, Maximilian Schulze-Hagen, Marc Terwoelbeck, Peter Isfort, Christoph Haarburger, Fabian Kiessling, Volkmar Schulz, Christiane Kuhl, Sven Nebelung, Daniel Truhn
Predicting Osteoarthritis Progression in Radiographs via Unsupervised Representation Learning. CoRR (2021)
Tianyu Han, Sven Nebelung, Federico Pedersoli, Markus Zimmermann, Maximilian Schulze-Hagen, Michael Ho, Christoph Haarburger, Fabian Kiessling, Christiane Kuhl, Volkmar Schulz, Daniel Truhn
Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization. CoRR (2020)
Marcin Kopaczka, Richard Lindenpütz, Daniel Truhn, Maximilian Schulze-Hagen, Dorit Merhof
Fully Automated Segmentation of the Psoas Major Muscle in Clinical CT Scans. Bildverarbeitung für die Medizin (2020)