papers

Publications (8)

cs.CV2025

Cross-modal Fundus Image Registration under Large FoV Disparity

Hongyang Li, Junyi Tao, Qijie Wei +4

Previous work on cross-modal fundus image registration (CMFIR) assumes small cross-modal Field-of-View (FoV) disparity. By contrast, this paper is targeted at a more challenging sc…

cs.CV2022

Lesion Localization in OCT by Semi-Supervised Object Detection

Yue Wu, Yang Zhou, Jianchun Zhao +4

Over 300 million people worldwide are affected by various retinal diseases. By noninvasive Optical Coherence Tomography (OCT) scans, a number of abnormal structural changes in the…

cs.CV2022

Learning Two-Stream CNN for Multi-Modal Age-related Macular Degeneration Categorization

Weisen Wang, Xirong Li, Zhiyan Xu +4

This paper tackles automated categorization of Age-related Macular Degeneration (AMD), a common macular disease among people over 50. Previous research efforts mainly focus on AMD…

eess.IV2019

Two-Stream CNN with Loose Pair Training for Multi-modal AMD Categorization

Weisen Wang, Zhiyan Xu, Weihong Yu +8

This paper studies automated categorization of age-related macular degeneration (AMD) given a multi-modal input, which consists of a color fundus image and an optical coherence tom…

cs.CV2021

Multi-Modal Multi-Instance Learning for Retinal Disease Recognition

Xirong Li, Yang Zhou, Jie Wang +5

This paper attacks an emerging challenge of multi-modal retinal disease recognition. Given a multi-modal case consisting of a color fundus photo (CFP) and an array of OCT B-scan im…

cs.AI2026

A specialized reasoning large language model for accelerating rare disease diagnosis: a randomized AI physician assistance trial

Haichao Chen, Songchi Zhou, Zhengyun Zhao +28

Rare diseases affect millions of individuals worldwide, yet timely diagnosis remains a major public health challenge due to scarcity of specialized clinical expertise. While large…