activity
20192023
most citedREFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs

858 citations · 949 across the 9 of their papers we have counts for

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10 papers · 1 filter

cs.CV2023

Single-Shot Plug-and-Play Methods for Inverse Problems

Yanqi Cheng, Lipei Zhang, Zhenda Shen +5

The utilisation of Plug-and-Play (PnP) priors in inverse problems has become increasingly prominent in recent years. This preference is based on the mathematical equivalence betwee…

cs.CV20232 cited

HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis

Ziyu Guo, Weiqin Zhao, Shujun Wang +1

In computation pathology, the pyramid structure of gigapixel Whole Slide Images (WSIs) has recently been studied for capturing various information from individual cell interactions…

cs.CV20232 cited

ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis

Yanyan Huang, Weiqin Zhao, Shujun Wang +3

Whole slide image (WSI) analysis has become increasingly important in the medical imaging community, enabling automated and objective diagnosis, prognosis, and therapeutic-response…

cs.CV20234 cited

MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening

Yijun Yang, Shujun Wang, Lihao Liu +4

Breast cancer is a major cause of cancer death among women, emphasising the importance of early detection for improved treatment outcomes and quality of life. Mammography, the prim…

cs.CV20231 cited

MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis

Weiqin Zhao, Shujun Wang, Maximus Yeung +2

Whole slide image (WSI) has been widely used to assist automated diagnosis under the deep learning fields. However, most previous works only discuss the SINGLE task setting which i…

cs.CV202261 cited

Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning

Fuying Wang, Yuyin Zhou, Shujun Wang +2

Learning medical visual representations directly from paired radiology reports has become an emerging topic in representation learning. However, existing medical image-text joint l…