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20242026
most citedVISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging

6 citations · 15 across the 13 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

VISTA-PATH: An interactive foundation model for pathology image segmentation and quantitative analysis in computational pathology

Peixian Liang, Songhao Li, Shunsuke Koga +5

Accurate semantic segmentation for histopathology image is crucial for quantitative tissue analysis and downstream clinical modeling. Recent segmentation foundation models have imp…

cs.CV2025

Reasoning Visual Language Model for Chest X-Ray Analysis

Andriy Myronenko, Dong Yang, Baris Turkbey +10

Vision-language models (VLMs) have shown strong promise for medical image analysis, but most remain opaque, offering predictions without the transparent, stepwise reasoning clinici…

cs.CV2025

Discrete Diffusion Models with MLLMs for Unified Medical Multimodal Generation

Jiawei Mao, Yuhan Wang, Lifeng Chen +6

Recent advances in generative medical models are constrained by modality-specific scenarios that hinder the integration of complementary evidence from imaging, pathology, and clini…

cs.CV2025★ 1 cited

MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss

Can Zhao, Pengfei Guo, Dong Yang +7

Medical image synthesis is an important topic for both clinical and research applications. Recently, diffusion models have become a leading approach in this area. Despite their str…

cs.CV2024★ 1 cited

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge

Vishwesh Nath, Wenqi Li, Dong Yang +22

Generalist vision language models (VLMs) have made significant strides in computer vision, but they fall short in specialized fields like healthcare, where expert knowledge is esse…

cs.CV2024

A Short Review and Evaluation of SAM2's Performance in 3D CT Image Segmentation

Yufan He, Pengfei Guo, Yucheng Tang +7

Since the release of Segment Anything 2 (SAM2), the medical imaging community has been actively evaluating its performance for 3D medical image segmentation. However, different stu…