469 citations
- German Cancer Research CenterDE10 papers
- Technical University of MunichDE7 papers
- Heidelberg UniversityDE6 papers
- Imperial College LondonGB5 papers
- National Center for Tumor DiseasesDE5 papers
- University Hospital HeidelbergDE5 papers
- Frankfurt Cancer InstituteDE3 papers
- Goethe University FrankfurtDE3 papers
- Helmholtz MunichDE3 papers
- Institute of Bioinformatics and Systems BiologyDE3 papers
- King's College LondonGB3 papers
- Ludwig-Maximilians-Universität MünchenDE3 papers
14 papers
Pathryoshka: Compressing Pathology Foundation Models via Multi-Teacher Knowledge Distillation with Nested Embeddings
Christian Grashei, Christian Brechenmacher, Rao Muhammad Umer +4
Pathology foundation models (FMs) have driven significant progress in computational pathology. However, these high-performing models can easily exceed a billion parameters and prod…
Gut decisions based on the liver: A radiomics approach to boost colorectal cancer screening
Anna Hinterberger, Jonas Bohn, Dasha Trofimova +13
Non-invasive colorectal cancer (CRC) screening represents a key opportunity to improve colonoscopy participation rates and reduce CRC mortality. This study explores the potential o…
MultiMAE for Brain MRIs: Robustness to Missing Inputs Using Multi-Modal Masked Autoencoder
Ayhan Can Erdur, Christian Beischl, Daniel Scholz +4
Missing input sequences are common in medical imaging data, posing a challenge for deep learning models reliant on complete input data. In this work, inspired by MultiMAE [2], we d…
Grasping Partially Occluded Objects Using Autoencoder-Based Point Cloud Inpainting
Alexander Koebler, Ralf Gross, Florian Buettner +1
Flexible industrial production systems will play a central role in the future of manufacturing due to higher product individualization and customization. A key component in such sy…
Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning
Maximilian Fischer, Peter Neher, Peter Schüffler +9
Accurate diagnosis of disease often depends on the exhaustive examination of Whole Slide Images (WSI) at microscopic resolution. Efficient handling of these data-intensive images r…
Unlocking the Potential of Digital Pathology: Novel Baselines for Compression
Maximilian Fischer, Peter Neher, Peter Schüffler +13
Digital pathology offers a groundbreaking opportunity to transform clinical practice in histopathological image analysis, yet faces a significant hurdle: the substantial file sizes…