18 citations · 39 across the 11 of their papers we have counts for
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eess.IV2023
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…
eess.IV2023★ 1 cited
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…