51 citations · 63 across the 8 of their papers we have counts for
4 papers · 1 filter
RL-UNet: A Dual-Branch UNet with Reinforcement Learning-Assisted Multimodal Feature Fusion for Accurate 3D Whole-Heart Segmentation
Jierui Qu, Jianchun Zhao
Accurate whole-heart segmentation is a critical component in the precise diagnosis and interventional planning of cardiovascular diseases. Integrating complementary information fro…
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…
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…