51 citations · 63 across the 8 of their papers we have counts for
10 papers
MIQ-SAM3D: From Single-Point Prompt to Multi-Instance Segmentation via Competitive Query Refinement
Jierui Qu, Jianchun Zhao
Accurate segmentation of medical images is fundamental to tumor diagnosis and treatment planning. SAM-based interactive segmentation has gained attention for its strong generalizat…
RDTE-UNet: A Boundary and Detail Aware UNet for Precise Medical Image Segmentation
Jierui Qu, Jianchun Zhao
Medical image segmentation is essential for computer-assisted diagnosis and treatment planning, yet substantial anatomical variability and boundary ambiguity hinder reliable deline…
A DyL-Unet framework based on dynamic learning for Temporally Consistent Echocardiographic Segmentation
Jierui Qu, Jianchun Zhao
Accurate segmentation of cardiac anatomy in echocardiography is essential for cardiovascular diagnosis and treatment. Yet echocardiography is prone to deformation and speckle noise…
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…
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…
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…
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…
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…