126 citations · 322 across the 18 of their papers we have counts for
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cs.CV2021★ 3 cited
Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation
Xiaofeng Liu, Fangxu Xing, Chao Yang +2
Unsupervised domain adaptation (UDA) aims to transfer knowledge learned from a labeled source domain to an unlabeled and unseen target domain, which is usually trained on data from…
eess.IV2021★ 7 cited
Symmetric-Constrained Irregular Structure Inpainting for Brain MRI Registration with Tumor Pathology
Xiaofeng Liu, Fangxu Xing, Chao Yang +3
Deformable registration of magnetic resonance images between patients with brain tumors and healthy subjects has been an important tool to specify tumor geometry through location a…
eess.IV2021★ 9 cited
VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI
Xiaofeng Liu, Fangxu Xing, Chao Yang +5
Deep learning has great potential for accurate detection and classification of diseases with medical imaging data, but the performance is often limited by the number of training da…