51 citations · 74 across the 9 of their papers we have counts for
9 papers
Supervised Domain Adaptation for Recognizing Retinal Diseases from Wide-Field Fundus Images
Qijie Wei, Jingyuan Yang, Bo Wang +9
This paper addresses the emerging task of recognizing multiple retinal diseases from wide-field (WF) and ultra-wide-field (UWF) fundus images. For an effective use of existing larg…
Segmentation-based Information Extraction and Amalgamation in Fundus Images for Glaucoma Detection
Yanni Wang, Gang Yang, Dayong Ding +1
Glaucoma is a severe blinding disease, for which automatic detection methods are urgently needed to alleviate the scarcity of ophthalmologists. Many works have proposed to employ d…
Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matching
Jiazhen Liu, Xirong Li, Qijie Wei +2
For retinal image matching (RIM), we propose SuperRetina, the first end-to-end method with jointly trainable keypoint detector and descriptor. SuperRetina is trained in a novel sem…
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…
Unsupervised Domain Expansion for Visual Categorization
Jie Wang, Kaibin Tian, Dayong Ding +2
Expanding visual categorization into a novel domain without the need of extra annotation has been a long-term interest for multimedia intelligence. Previously, this challenge has b…
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…
Learn to Segment Retinal Lesions and Beyond
Qijie Wei, Xirong Li, Weihong Yu +8
Towards automated retinal screening, this paper makes an endeavor to simultaneously achieve pixel-level retinal lesion segmentation and image-level disease classification. Such a m…
Hierarchical Attention Networks for Medical Image Segmentation
Fei Ding, Gang Yang, Jinlu Liu +5
The medical image is characterized by the inter-class indistinction, high variability, and noise, where the recognition of pixels is challenging. Unlike previous self-attention bas…
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…