12 citations · 13 across the 4 of their papers we have counts for
4 papers
CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting
Qinkai Yu, Jianyang Xie, Anh Nguyen +6
Diabetic retinopathy (DR) is a complication of diabetes and usually takes decades to reach sight-threatening levels. Accurate and robust detection of DR severity is critical for th…
Polar-Net: A Clinical-Friendly Model for Alzheimer's Disease Detection in OCTA Images
Shouyue Liu, Jinkui Hao, Yanwu Xu +7
Optical Coherence Tomography Angiography (OCTA) is a promising tool for detecting Alzheimer's disease (AD) by imaging the retinal microvasculature. Ophthalmologists commonly use re…
Automatically Segment the Left Atrium and Scars from LGE-MRIs Using a Boundary-focused nnU-Net
Yuchen Zhang, Yanda Meng, Yalin Zheng
Atrial fibrillation (AF) is the most common cardiac arrhythmia. Accurate segmentation of the left atrial (LA) and LA scars can provide valuable information to predict treatment out…
Weakly supervised segmentation with point annotations for histopathology images via contrast-based variational model
Hongrun Zhang, Liam Burrows, Yanda Meng +5
Image segmentation is a fundamental task in the field of imaging and vision. Supervised deep learning for segmentation has achieved unparalleled success when sufficient training da…