Dinggang Shen

Deep Learning in Medical Image Analysis

Multimodal classification of Alzheimer's disease and mild cognitive impairment

Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis

Deep convolutional neural networks for multi-modality isointense infant brain image segmentation

Lane detection and tracking using B-Snake

Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans

Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease

Medical Image Synthesis with Context-Aware Generative Adversarial Networks

Evidence on the emergence of the brain's default network from 2-week-old to 2-year-old healthy pediatric subjects

Medical Image Synthesis with Deep Convolutional Adversarial Networks

A deep learning system for detecting diabetic retinopathy across the disease spectrum

Infant Brain Atlases from Neonates to 1- and 2-Year-Olds