The clinical promise of computational pathology increasingly depends on foundation model-based pipelines, yet the morphological concepts encoded by these systems remain poorly understood. We address this gap with a concept-level visualization framework using class visualizations (CVs) and activation atlases (AAs) in a...
M. Gustav, F. Wolf, Christina Glasner et al.· Cell Reports Medicine· 0 citations
Contrastive vision-language (VL) pretraining in computational pathology has generally relied on curated image-caption datasets sourced from social media, educational videos, and research publications. These corpora are sparse relative to the diversity of tissue morphology and difficult to scale further, as pathologists...
Daniel Shao, Dongmin Bang, Luca L. Weishaupt et al.· 0 citations
The results identify a substantial domain gap between veterinary and human pathology, expose the risk of over-diagnosis of normal tissue in frontier models, and show that domain-specific training remains critical for visually grounded predictions.
Luca L. Weishaupt, S. de Brot, Javier Asin et al.· 0 citations
Pediatric adrenocortical tumors are rare, clinically heterogeneous neoplasms with unpredictable outcomes and limited treatment options. Through integrated multi-omic analysis of 214 pediatric adrenocortical tumors combining DNA methylation profiling, transcriptomics, chromatin accessibility, and spatial deconvolution,...
V. Fincke, Maurice Loßner, M. Kunstreich et al.· Nature Communications· 0 citations
Functional assays demonstrated that WNT activation enhances tumor progression in immunocompetent settings, indicating immune evasion as a key driver of malignant progression.
M. Mastel, A. Guiseris Martinez, Umberto Pozza et al.· Gastroenterology· 0 citations
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