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20222025
most citedUni-COAL: A Unified Framework for Cross-Modality Synthesis and Super-Resolution of MR Images

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

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7 papers · 1 filter

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…

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…

cs.CV2024

Gaze-DETR: Using Expert Gaze to Reduce False Positives in Vulvovaginal Candidiasis Screening

Yan Kong, Sheng Wang, Jiangdong Cai +5

Accurate detection of vulvovaginal candidiasis is critical for women's health, yet its sparse distribution and visually ambiguous characteristics pose significant challenges for ac…

cs.CV2024

Two-stage Cytopathological Image Synthesis for Augmenting Cervical Abnormality Screening

Zhenrong Shen, Manman Fei, Xin Wang +4

Automatic thin-prep cytologic test (TCT) screening can assist pathologists in finding cervical abnormality towards accurate and efficient cervical cancer diagnosis. Current automat…

cs.CV2023

MeLo: Low-rank Adaptation is Better than Fine-tuning for Medical Image Diagnosis

Yitao Zhu, Zhenrong Shen, Zihao Zhao +5

The common practice in developing computer-aided diagnosis (CAD) models based on transformer architectures usually involves fine-tuning from ImageNet pre-trained weights. However,…

cs.CV2023

CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image Classification

Zhenrong Shen, Maosong Cao, Sheng Wang +2

Automatic examination of thin-prep cytologic test (TCT) slides can assist pathologists in finding cervical abnormality for accurate and efficient cancer screening. Current solution…