activity
20142026
most citedVoxelMorph: A Learning Framework for Deformable Medical Image Registration

2.2k citations · 5.8k across the 101 of their papers we have counts for

collaborators

111 papers

cs.CV2026

PathLang: A Language-Centered Benchmark for Vision-Language Models in Computational Pathology

Fanqi Cheng, Kuo Gong, Shangke Liu +15

Pathology vision-language models (VLMs) have shown strong visual perception ability, but their robustness in the language domain remains poorly characterized. Existing pathology VL…

cs.CV2026

Benchmarking Active Spot Selection for Cost-Efficient Spatial Transcriptomics

Zheyu Zhu, Junchao Zhu, Fengbei Liu +7

Spatial transcriptomics (ST) measures gene expression in tissue context, but dense capture grids can be costly and may repeatedly sample morphologically similar regions. Most activ…

cs.CV2026

Seeing Abnormal from Normal: Glomerular Abnormality in Representations of Normal Renal Morphology

Greta Hasko, Rachit Saluja, Tianyu Shi +13

Fine-grained evaluation of glomerular pathology must distinguish normal glomeruli from abnormalities such as global and segmental glomerulosclerosis, obsolescent, ischemic, solidif…

eess.IV2026

Mammography Foundation Models for Opportunistic Prediction of Major Adverse Cardiovascular Events

Paula Feldman, Nusrat Binta Nizam, Sunwoo Kwak +3

Cardiovascular disease (CVD) remains the leading cause of death among women, yet cardiovascular risk assessment often relies on clinical variables that may be missing, outdated, or…

eess.IV2026

StainBridge: Stain-Aware Pairwise Registration of Serial Renal Biopsy Whole-Slide Images Across Structural and Immunohistochemical Stains

Ellen Wei, Bohang Jiang, Yanfan Zhu +8

Three-dimensional (3D) reconstruction of histopathology tissue requires accurate pairwise registration of serial whole-slide images (WSIs). Cross-stain benchmarks have advanced reg…

cs.CV2026

ShapKO: Shapley-Adaptive Modality Knockout for Robust Multimodal Learning

Nusrat Binta Nizam, Fengbei Liu, Sunwoo Kwak +3

Multimodal medical models often degrade when inputs are missing, a common scenario in real-world clinical workflows. Separately, even when all modalities are present, modality domi…