Fast Auto-Differentiable Digitally Reconstructed Radiographs for Solving Inverse Problems in Intraoperative Imaging.- Multi-channel Residual Neural Network Based on Squeeze-and Excitation for Osteoporosis Diagnosis.- Machine Learning Based Approach for Motion Detection and
Estimation in Routinely Acquired Low Resolution Near Infrared Fluorescence Optical Imaging.- Automatic Landmark Identification on IntraOralScans.- STAU-Net: A Spatial Structure Attention Network for 3D Coronary Artery Segmentation.- Convolutional Redistribution Network for Multi-View Medical Image Diagnosis.- Feature Patch Based Attention Model for Dental Caries Classification.- Conditional Domain Adaptation Based on Initial Distribution Discrepancy for EEG Emotion Recognition.- Automated Cone and Vessel Analysis in Adaptive Optics like Retinal
Images for Clinical Diagnostics Support.
