254 citations · 1.1k across the 96 of their papers we have counts for
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eess.IV2021★ 3 cited
CADA: Multi-scale Collaborative Adversarial Domain Adaptation for Unsupervised Optic Disc and Cup Segmentation
Peng Liu, Charlie T. Tran, Bin Kong +1
The diversity of retinal imaging devices poses a significant challenge: domain shift, which leads to performance degradation when applying the deep learning models trained on one d…
eess.IV2021★ 3 cited
An explainable two-dimensional single model deep learning approach for Alzheimer's disease diagnosis and brain atrophy localization
Fan Zhang, Bo Pan, Pengfei Shao +4
Early and accurate diagnosis of Alzheimer's disease (AD) and its prodromal period mild cognitive impairment (MCI) is essential for the delayed disease progression and the improved…
eess.IV2021★ 36 cited
CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography
Yang Deng, Ce Wang, Yuan Hui +12
Spine-related diseases have high morbidity and cause a huge burden of social cost. Spine imaging is an essential tool for noninvasively visualizing and assessing spinal pathology.…