3 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 2 cited
Topology-Preserving Shape Reconstruction and Registration via Neural Diffeomorphic Flow
Shanlin Sun, Kun Han, Deying Kong +3
Deep Implicit Functions (DIFs) represent 3D geometry with continuous signed distance functions learned through deep neural nets. Recently DIFs-based methods have been proposed to h…
eess.IV2020★ 3 cited
Spatial Context-Aware Self-Attention Model For Multi-Organ Segmentation
Hao Tang, Xingwei Liu, Kun Han +6
Multi-organ segmentation is one of most successful applications of deep learning in medical image analysis. Deep convolutional neural nets (CNNs) have shown great promise in achiev…