脑影像人工智能

论文 “Identifying influential nodes in brain networks via self-supervised graph-transformer” 在期刊《Computers in Biology and Medicine》 (CIBM) 发表

康艳晴

论文 “Exploring Brain Function-Structure Connectome Skeleton via Self-Supervised Graph-Transformer Approach” 被会议MICCAI 2023接收

康艳晴

论文 “Joint Representation of Functional and Structural Profiles for Identifying Common and Consistent 3-Hinge Gyral Folding Landmark” 被会议MICCAI 2023接收

王若洋

论文“A NOVEL MULTI-MODALITY FRAMEWORK FOR EXPLORING BRAIN CONNECTIVITY HUBS VIA REINFORCEMENT LEARNING APPROACH”被会议 “IEEE International Symposium on Biomedical Imaging”接收

张海洋

论文“A hybrid learning framework for fine-grained interpretation of brain spatiotemporal patterns during naturalistic functional magnetic resonance imaging”被期刊Frontiers in Human Neuroscience接收

喻四刚

论文 “A Novel Two-Stage Multi-View Low-Rank Sparse Subspace Clustering Approach to Explore the Relationship between Brain Function and Structure” 被会议Machine Learning in Medical Imaging (MLMI, MICCAI Workshop)接收

康艳晴