Shuhan Xiao

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 8

Top Topics

Image Compression

Unsupervised Learning

Weakly Supervised

Top Venues

Bildverarbeitung für die Medizin

MLMI@MICCAI (2)

Publications

Stefan Denner, David Zimmerer, Dimitrios Bounias, Markus Bujotzek, Shuhan Xiao, Lisa Kausch, Philipp Schader, Tobias Penzkofer, Paul F. Jäger, Klaus H. Maier-Hein
Leveraging Foundation Models for Content-Based Medical Image Retrieval in Radiology. CoRR (2024)
Shuhan Xiao, Lukas Klein, Jens Petersen, Philipp Vollmuth, Paul F. Jaeger, Klaus H. Maier-Hein
Enhancing predictive imaging biomarker discovery through treatment effect analysis. CoRR (2024)
Karol Gotkowski, Carsten T. Lüth, Paul F. Jäger, Sebastian Ziegler, Lars Krämer, Stefan Denner, Shuhan Xiao, Nico Disch, Klaus H. Maier-Hein, Fabian Isensee
Embarrassingly Simple Scribble Supervision for 3D Medical Segmentation. CoRR (2024)
Maximilian Fischer, Peter F. Neher, Peter Schüffler, Shuhan Xiao, Silvia Dias Almeida, Constantin Ulrich, Alexander Muckenhuber, Rickmer Braren, Michael Götz, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein
Abstract: Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning. Bildverarbeitung für die Medizin (2024)
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
Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution. CoRR (2024)
Maximilian Fischer, Peter F. Neher, Michael Götz, Shuhan Xiao, Silvia Dias Almeida, Peter Schüffler, Alexander Muckenhuber, Rickmer Braren, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein
Abstract: Deep-learning on Lossily Compressed Pathology Images - Adverse Effects for ImageNet Pre-trained Models. Bildverarbeitung für die Medizin (2023)
Maximilian Fischer, Peter F. Neher, Peter Schüffler, Shuhan Xiao, Silvia Dias Almeida, Constantin Ulrich, Alexander Muckenhuber, Rickmer Braren, Michael Götz, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein
Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning. MLMI@MICCAI (2) (2023)
Maximilian Fischer, Peter F. Neher, Michael Götz, Shuhan Xiao, Silvia Dias Almeida, Peter Schüffler, Alexander Muckenhuber, Rickmer Braren, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein
Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained Models. MOVI@MICCAI (2022)