Medical Image Computing and Computer Assisted Intervention – MICCAI 2025
Year: 2025
Type: conference-paper
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
Funders: Massachusetts General Hospital, Boston College, Yale University, Vanderbilt University, University of Pennsylvania, Memorial Sloan-Kettering Cancer Center, Northwestern University, Rensselaer Polytechnic Institute, Harvard University, Cleveland Clinic, Johns Hopkins University, University of Notre Dame, Deutsches Krebsforschungszentrum, University of Bern, Shandong University, Norges Teknisk-Naturvitenskapelige Universitet, University of Texas at Arlington, Heriot-Watt University, McMaster University, Intuitive Surgical, Polytechnique Montréal, Politecnico di Torino, Tencent, Universitätsspital Basel, Rowan University, Children's National Hospital, Indian Institute of Technology Jodhpur, University of Exeter, Imperial College London, King's College London, University College London, University of Oxford, University of Leeds, University of Westminster, Agency for Science, Technology and Research, National University of Singapore, Nanyang Technological University, Monash University, University of Twente, Eberhard Karls Universität Tübingen, Beihang University, Chinese Academy of Sciences, Pohang University of Science and Technology, Yonsei University, Kyung Hee University, Gachon University, Korea University, Northwestern Polytechnical University, Anhui University, Chalmers Tekniska Högskola, Concordia University, Technische Universiteit Eindhoven, Eidgenössische Technische Hochschule Zürich, Fudan University, Huazhong University of Science and Technology, Harbin Institute of Technology, Hebrew University of Jerusalem, Université de Strasbourg, Karolinska Institutet, East China Normal University, Tongji University, Kungliga Tekniska Högskolan, Zhejiang University, Shanghai Jiao Tong University, South China University of Technology, Beijing Institute of Technology, Nanjing University of Science and Technology, University of Electronic Science and Technology of China, Technische Universität München, Universidade de Coimbra, Hokkaido University, Oulun Yliopisto, Université de Lausanne, Uniwersytet Warszawski, Universidad de Zaragoza, University of Cape Town, Indian Institute of Technology Delhi, Universitat Rovira i Virgili, Univerza v Ljubljani, Peking University, Nanjing University, Rheinische Friedrich-Wilhelms-Universität Bonn, Zayed University, Julius-Maximilians-Universität Würzburg, Universidade do Minho, Xiamen University, Università degli Studi di Messina, Shenzhen University, University of Science and Technology of China, Medizinische Universität Innsbruck, Daegu Gyeongbuk Institute of Science and Technology, Siemens Healthineers, Universität Innsbruck, ShanghaiTech University, Korea University Anam Hospital, Université de Sfax, Nile University, Stony Brook University, Helmholtz Artificial Intelligence Cooperation Unit, National Institutes of Health, University of California, Los Angeles, Weill Cornell Medical College, University of Texas MD Anderson Cancer Center, University of North Carolina at Chapel Hill, University of Colorado Denver, University of North Carolina at Greensboro, RIKEN, Robarts Research Institute, Erasmus Universitair Medisch Centrum Rotterdam, Institute of Computing Technology, Chinese Academy of Sciences
OpenAlex ID: W4414359483