Consider presenting your research at Medical Imaging 2024. We welcome your participation as we look to build another outstanding program.
SPIE Medical Imaging is the conference where the latest information is shared and presented by leading researchers in image processing, physics, computer-aided diagnosis, perception, image-guided procedures, biomedical applications, ultrasound, informatics, radiology, and digital and computational pathology. This also includes an increased focus on areas like deep learning, artificial intelligence (AI), machine learning, information fusion, augmented/virtual reality, and global health initiatives. Explore the Application Tracks.
Univ. of Pennsylvania, Department of Radiology (United States)
Duke University School of Medicine (United States)
Susan M. Astley, The Univ. of Manchester (United Kingdom)
Christian Boehm, ETH Zurich (Switzerland)
Nick Bottenus, Univ. of Colorado Boulder (United States)
Weijie Chen, U.S. Food and Drug Administration (United States)
Yan Chen, The Univ. of Nottingham (United Kingdom)
Olivier Colliot, Ctr. National de la Recherche Scientifique (France)
Rebecca Fahrig, Siemens Healthineers (Germany)
Barjor Gimi, Trinity Health Corp. (United States)
Andrzej Krol, SUNY Upstate Medical Univ. (United States)
Ke Li, Univ. of Wisconsin School of Medicine and Public Health (United States)
Jhimli Mitra, GE Research (United States)
Brian Park, Oregon Health & Science Univ. (United States)
Maryam E. Rettmann, Mayo Clinic (United States)
John Sabol, Konica Minolta Healthcare Americas, Inc. (United States)
Jeffrey Siewerdsen, Johns Hopkins Univ. (United States)
John Tomaszewski, Univ. at Buffalo (United States)
Aaron Ward, The Univ. of Western Ontario (Canada)
Shandong Wu, Univ. of Pittsburgh (United States)
Hiroyuki Yoshida, Massachusetts General Hospital (United States) and Harvard Medical School (United States)