21 citations · 37 across the 17 of their papers we have counts for
4 papers · 1 filter
UniH: Unifying Hierarchical Homogeneity and Heterogeneity for All-in-One Medical Image Restoration
Zhiwen Yang, Jiayin Li, Chengyu Liu +3
All-in-One medical image restoration (MedIR) aims to address diverse tasks across modalities and degradation types using a single universal model. Existing methods typically priori…
U-TTT: Towards Generalizable PET Image Denoising via Test-Time Training
Zhiwen Yang, Jiayin Li, Hao Lu +3
Existing deep learning models for Positron Emission Tomography (PET) image denoising often suffer from severe performance degradation under distribution shifts, fundamentally restr…
MedVol-R1: Reward-Driven Evidence Grounding for Volumetric Reasoning Segmentation
Zichun Wang, Hairong Shi, Bingzheng Wei +2
Volumetric Reasoning Segmentation (VRS) aims to segment a target region in a 3D medical scan from a free-form clinical query, where the referent is often implicit and requires both…
CTIS-QA: Clinical Template-Informed Slide-level Question Answering for Pathology
Hao Lu, Ziniu Qian, Yifu Li +3
In this paper, we introduce a clinical diagnosis template-based pipeline to systematically collect and structure pathological information. In collaboration with pathologists and gu…