Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained Models. - Maximilian Fischer; Peter Neher; Michael Götz; Shuhan Xiao; Silvia Dias Almeida; Peter J. Schüffler; Alexander Muckenhuber; Rickmer Braren; Jens Kleesiek; Marco Nolden; Klaus H. Maier-Hein (MOVI@MICCAI, 2022)

Abstract: Deep-learning on Lossily Compressed Pathology Images - Adverse Effects for ImageNet Pre-trained Models. - Maximilian Fischer; Peter Neher; Michael Götz; Shuhan Xiao; Silvia Dias Almeida; Peter J. Schüffler; Alexander Muckenhuber; Rickmer Braren; Jens Kleesiek; Marco Nolden; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2023)

Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning. - Maximilian Fischer; Peter Neher; Peter J. Schüffler; Shuhan Xiao; Silvia Dias Almeida; Constantin Ulrich; Alexander Muckenhuber; Rickmer Braren; Michael Götz; Jens Kleesiek; Marco Nolden; Klaus H. Maier-Hein (MLMI@MICCAI (2), 2023)

Abstract: Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning. - Maximilian Fischer; Peter Neher; Peter J. Schüffler; Shuhan Xiao; Silvia Dias Almeida; Constantin Ulrich; Alexander Muckenhuber; Rickmer Braren; Michael Götz; Jens Kleesiek; Marco Nolden; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2024)

Learned Image Compression for HE-Stained Histopathological Images via Stain Deconvolution. - Maximilian Fischer; Peter Neher; Tassilo Wald; Silvia Dias Almeida; Shuhan Xiao; Peter J. Schüffler; Rickmer Braren; Michael Götz; Alexander Muckenhuber; Jens Kleesiek; Marco Nolden; Klaus H. Maier-Hein (MOVI@MICCAI, 2024)

Leveraging Foundation Models for Content-Based Medical Image Retrieval in Radiology. - Stefan Denner; David Zimmerer; Dimitrios Bounias; Markus Bujotzek; Shuhan Xiao; Lisa Kausch; Philipp Schader; Tobias Penzkofer; Paul F. Jäger; Klaus H. Maier-Hein (CoRR, 2024)

Embarrassingly Simple Scribble Supervision for 3D Medical Segmentation. - Karol Gotkowski; Carsten T. Lüth; Paul F. Jäger; Sebastian Ziegler; Lars Krämer; Stefan Denner; Shuhan Xiao; Nico Disch; Klaus H. Maier-Hein; Fabian Isensee (CoRR, 2024)

From FDG to PSMA: A Hitchhiker's Guide to Multitracer, Multicenter Lesion Segmentation in PET/CT Imaging. - Maximilian Rokuss; Balint Kovacs; Yannick Kirchhoff; Shuhan Xiao; Constantin Ulrich; Klaus H. Maier-Hein; Fabian Isensee (CoRR, 2024)

Data-Centric Strategies for Overcoming PET/CT Heterogeneity: Insights from the AutoPET III Lesion Segmentation Challenge. - Balint Kovacs; Shuhan Xiao; Maximilian Rokuss; Constantin Ulrich; Fabian Isensee; Klaus H. Maier-Hein (CoRR, 2024)

Unlocking the Potential of Digital Pathology: Novel Baselines for Compression. - Maximilian Fischer; Peter Neher; Peter J. Schüffler; Sebastian Ziegler; Shuhan Xiao; Robin Peretzke; David A. Clunie; Constantin Ulrich; Michael Baumgartner 001; Alexander Muckenhuber; Silvia Dias Almeida; Michael Götz; et al. (CoRR, 2024)

Abstract: Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution. - Maximilian Fischer; Peter Neher; Tassilo Wald; Constantin Ulrich; Peter J. Schüffler; Shuhan Xiao; Silvia Dias Almeida; Alexander Muckenhuber; Rickmer Braren; Michael Götz; Jens Kleesiek; Marco Nolden; et al. (Bildverarbeitung für die Medizin, 2025)

Enhancing Predictive Imaging Biomarker Discovery Through Treatment Effect Analysis. - Shuhan Xiao; Lukas Klein; Jens Petersen; Philipp Vollmuth; Paul F. Jaeger; Klaus H. Maier-Hein (WACV, 2025)

Leveraging foundation models for content-based image retrieval in radiology. - Stefan Denner; David Zimmerer; Dimitrios Bounias; Markus Bujotzek; Shuhan Xiao; Raphael Stock; Lisa Kausch; Philipp Schader; Tobias Penzkofer; Paul F. Jäger; Klaus H. Maier-Hein (Comput. Biol. Medicine, 2025)

nnLandmark: A Self-Configuring Method for 3D Medical Landmark Detection. - Alexandra Ertl; Shuhan Xiao; Stefan Denner; Robin Peretzke; David Zimmerer; Peter Neher; Fabian Isensee; Klaus H. Maier-Hein (CoRR, 2025)