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most citedMGH Radiology Llama: A Llama 3 70B Model for Radiology

4 citations · 7 across the 11 of their papers we have counts for

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cs.CV2026

CoRe-WM: Conditioned Response-State World Modeling for Longitudinal Treatment-Response Prediction in Breast DCE-MRI

Lin Zhao, Bowen Chen, Qiaohui Gao +4

Pathologic complete response (pCR) after neoadjuvant chemotherapy is a key prognostic indicator in aggressive breast cancer, yet existing prediction approaches either rely on pretr…

cs.CV2026

MedVIGIL: Evaluating Trustworthy Medical VLMs Under Broken Visual Evidence

Hanqi Jiang, Junhao Chen, Mingyu Kang +12

Medical vision--language models (VLMs) are usually evaluated on intact image--question pairs, but trustworthy clinical use requires a stronger property: a model must recognise when…

cs.CV2026

Shifting Adaptation from Weight Space to Memory Space: A Memory-Augmented Agent for Medical Image Segmentation

Bowen Chen, Qiaohui Gao, Shaowen Wan +6

Medical image segmentation is fundamental to clinical workflows, yet models trained on a single dataset often fail to generalize across institutions, scanners, or patient populatio…

cs.CV2026

Thinking with Gaze: Sequential Eye-Tracking as Visual Reasoning Supervision for Medical VLMs

Yiwei Li, Yifan Zhou, Huaqin Zhao +6

Vision--language models (VLMs) process images as visual tokens, yet their intermediate reasoning is often carried out in text, which can be suboptimal for visually grounded radiolo…

cs.CV2025

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model

Zhiling Yan, Sifan Song, Dingjie Song +11

Recent "segment anything" efforts show promise by learning from large-scale data, but adapting such models directly to medical images remains challenging due to the complexity of m…

cs.CV2024

EchoFM: Foundation Model for Generalizable Echocardiogram Analysis

Sekeun Kim, Pengfei Jin, Sifan Song +6

Foundation models have recently gained significant attention because of their generalizability and adaptability across multiple tasks and data distributions. Although medical found…