activity
20222026
most citedMultimodal Whole Slide Foundation Model for Pathology

26 citations · 105 across the 13 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.AI2026

A general-purpose System One decision model for clinical records

Andrew Zhang, Trinh T. L. Vuong, Sophia J. Wagner +14

Clinical care, health-system operations and biomedical discovery depend on extracting reliable answers from patient records, yet applying diverse clinical questions across entire p…

cs.CL2026

Discrete Neural Interlingua for Ontology-Agnostic EHR Modeling

Tong Ding, Caiwei Tian, Dongmin Bang +6

EHR foundation models promise scalable clinical prediction across health systems, yet their deployment is constrained by a tokenization bottleneck. The same clinical concept can ap…

cs.CV2026

Beyond Sparse Captions: Aligning Slide-Level Text and Patch-Level Vision in Pathology

Daniel Shao, Dongmin Bang, Luca L. Weishaupt +6

Contrastive vision-language (VL) pretraining in computational pathology has generally relied on curated image-caption datasets sourced from social media, educational videos, and re…

cs.CV2026

VIPER: An Expert-Curated Benchmark for Vision-Language Models in Veterinary Pathology

Luca L. Weishaupt, Simone de Brot, Javier Asin +9

Pathology vision-language models are advancing rapidly, yet existing benchmarks remain focused on human tissue, particularly oncology, leaving non-human pathology largely unaddress…

cs.LG2026★ 1 cited

A multimodal and temporal foundation model for virtual patient representations at healthcare system scale

Andrew Zhang, Tong Ding, Sophia J. Wagner +8

Modern medicine generates vast multimodal data across siloed systems, yet no existing model integrates the full breadth and temporal depth of the clinical record into a unified pat…