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20222026
most citedFairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling

5 citations · 17 across the 16 of their papers we have counts for

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2 papers · 1 filter

cs.AI2026

Representation-guided in-context learning for medical image interpretation with multimodal large language models

Minda Zhao, Fangyu Hu, Yan Luo +8

Medical image interpretation is central to diagnosis and care, yet adapting general-purpose multimodal large language models (MLLMs) often requires resource-intensive domain-specif…

cs.CV2026

Diagnostic-Guided Longitudinal Modeling for Forecasting Retinal Atrophy Progression

Liyin Chen, Nazlee Zebardast, Souvick Mukherjee +4

Stochastic generative models are increasingly used for longitudinal imaging, but their added complexity may provide limited benefit when predictable disease-related change is small…