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cs.CV2026

MorVess: Morphology-Aware Pulmonary Vessel Segmentation Network

Fuyou Mao, Yifei Chen, Beining Wu +9

Accurate pulmonary vessel segmentation remains challenging due to the sparse, tortuous, and multi-scale nature of vascular structures, where small branches are easily lost and topo…

cs.CV2026

GLeVE: Graph-Guided Lesion Grounding with Proposal Verification in 3D CT

Shuo Jiang, Yuhao Hong, Chunbo Jiang +9

Grounding radiology report descriptions to 3D CT volumes is essential for verifiable clinical interpretation, yet remains challenging due to the semantic-spatial gap between free-t…

cs.CV2026

R2AoP: Reliable and Robust Angle of Progression Estimation from Intrapartum Ultrasound

Yuanhan Wang, Yifei Chen, Beining Wu +7

Accurate estimation of the Angle of Progression (AoP) from intrapartum transperineal ultrasound is critical for objective assessment of labor progression, yet remains highly sensit…

cs.CV2026

SR3R: Rethinking Super-Resolution 3D Reconstruction With Feed-Forward Gaussian Splatting

Xiang Feng, Xiangbo Wang, Tieshi Zhong +7

3D super-resolution (3DSR) aims to reconstruct high-resolution (HR) 3D scenes from low-resolution (LR) multi-view images. Existing methods rely on dense LR inputs and per-scene opt…

cs.CV2025

AnyAD: Unified Any-Modality Anomaly Detection in Incomplete Multi-Sequence MRI

Changwei Wu, Yifei Chen, Yuxin Du +7

Reliable anomaly detection in brain MRI remains challenging due to the scarcity of annotated abnormal cases and the frequent absence of key imaging modalities in real clinical work…

cs.CV2025

A Large Scale Benchmark for Test Time Adaptation Methods in Medical Image Segmentation

Wenjing Yu, Shuo Jiang, Yifei Chen +9

Test time Adaptation is a promising approach for mitigating domain shift in medical image segmentation; however, current evaluations remain limited in terms of modality coverage, t…