collaborators

6 papers

cs.GR2025

Brain Connectivity Network Structure Learning For Brain Disorder Diagnosis

Dongdong Chen, Linlin Yao, Mengjun Liu +7

Recent studies in neuroscience highlight the significant potential of brain connectivity networks, which are commonly constructed from functional magnetic resonance imaging (fMRI)…

cs.CV2025

UniCAD: Efficient and Extendable Architecture for Multi-Task Computer-Aided Diagnosis System

Yitao Zhu, Yuan Yin, Zhenrong Shen +5

The growing complexity and scale of visual model pre-training have made developing and deploying multi-task computer-aided diagnosis (CAD) systems increasingly challenging and reso…

cs.CV2025

Pathology Image Restoration via Mixture of Prompts

Jiangdong Cai, Yan Chen, Zhenrong Shen +5

In digital pathology, acquiring all-in-focus images is essential to high-quality imaging and high-efficient clinical workflow. Traditional scanners achieve this by scanning at mult…

eess.IV2025

LSA: Latent Style Augmentation Towards Stain-Agnostic Cervical Cancer Screening

Jiangdong Cai, Haotian Jiang, Zhenrong Shen +4

The deployment of computer-aided diagnosis systems for cervical cancer screening using whole slide images (WSIs) faces critical challenges due to domain shifts caused by staining v…

cs.CV2025

MITracker: Multi-View Integration for Visual Object Tracking

Mengjie Xu, Yitao Zhu, Haotian Jiang +8

Multi-view object tracking (MVOT) offers promising solutions to challenges such as occlusion and target loss, which are common in traditional single-view tracking. However, progres…

eess.IV2024

Structure-Guided MR-to-CT Synthesis with Spatial and Semantic Alignments for Attenuation Correction of Whole-Body PET/MR Imaging

Jiaxu Zheng, Zhenrong Shen, Lichi Zhang +1

Deep-learning-based MR-to-CT synthesis can estimate the electron density of tissues, thereby facilitating PET attenuation correction in whole-body PET/MR imaging. However, whole-bo…