Rethinking Multimodality: Optimizing Multimodal Deep Learning for Biomedical Signal Classification
专题命中 医疗多模态 :biomedical(title,abstract);分类 cs.LG
科学与医疗
医学智能、临床 AI、医学影像、病理、诊断和医疗健康大模型。
专题命中 医疗多模态 :biomedical(title,abstract);分类 cs.LG
机构 * Information Systems Group, Eindhoven University of Technology, The Netherlands(埃因霍温技术大学信息系统组) ; Eindhoven Artificial Intelligence Systems Institute, The Netherlands(埃因霍温人工智能系统研究所) ; Department of Computer Science and Technology, University of Cambridge, United Kingdom(剑桥大学计算机科学与技术系) ; Department of Medicine - DIMED, Padua University Hospital, Italy(帕多瓦大学医院医学部-DIMED) ; Department of Environmental Sciences, Informatics, and Statistics, Ca’ Foscari University of Venice, Italy(威尼斯卡弗里大学环境科学、信息学与统计学系)
专题命中 医疗多模态 :diagnosis(abstract);radiology(abstract);分类 cs.CV
机构 * School of Computer Science, Peking University(北京大学计算机科学学院) ; School of Information and Software Engineering, University of Electronic Science and Technology of China(电子科技大学信息与软件工程学院) ; National Engineering Research Center for Software Engineering, Peking University(软件工程国家工程研究中心) ; Institute of Software, Chinese Academy of Science(中国科学院软件研究所) ; School of Software and Microelectronics, Peking University(北京大学软件与微电子学院) ; Institute of Basic Theory of Chinese Medicine, China Academy of Chinese Medical Sciences(中国中医科学院中医基础理论研究所)
专题命中 医疗多模态 :biomedical(abstract);分类 cs.LG
机构 * King’s College London(伦敦国王学院) ; Imperial College London(帝国理工学院) ; Columbia University(哥伦比亚大学)
专题命中 医疗多模态 :MRI(abstract)
Comments Submitted to the NeurIPS 2025 Workshop GenAI4Health. Conference website: https://aihealth.ischool.utexas.edu/GenAI4HealthNeurips2025/