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cs.CV2026

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation

Rongjun Ge, Dongyang Wang, Heng Zhu +3

Interactive egocentric medical image segmentation (IEMIS) plays an important role in smart-glasses-assisted medical image review, segmenting the medical targets a clinician refers…

cs.CV2026

MRI Contrast Enhancement Kinetics World Model

Jindi Kong, Yuting He, Cong Xia +2

Clinical MRI contrast acquisition suffers from inefficient information yield, which presents as a mismatch between the risky and costly acquisition protocol and the fixed and spars…

cs.CV2025

Vector Contrastive Learning For Pixel-Wise Pretraining In Medical Vision

Yuting He, Shuo Li

Contrastive learning (CL) has become a cornerstone of self-supervised pretraining (SSP) in foundation models, however, extending CL to pixel-wise representation, crucial for medica…

cs.CV2025

Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning

Yuting He, Boyu Wang, Rongjun Ge +3

Dense contrastive representation learning (DCRL) has greatly improved the learning efficiency for image-dense prediction tasks, showing its great potential to reduce the large cost…

cs.CV2025

Gaze-Assisted Human-Centric Domain Adaptation for Cardiac Ultrasound Image Segmentation

Ruiyi Li, Yuting He, Rongjun Ge +4

Domain adaptation (DA) for cardiac ultrasound image segmentation is clinically significant and valuable. However, previous domain adaptation methods are prone to be affected by the…