Consider presenting your research at Medical Imaging 2027. We welcome your participation as we look to build another outstanding program. Call for papers opens in May.
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.
Mayo Clinic (United States)
Univ. of Amsterdam
(The Netherlands)
Aaron Fenster(Canada)
Shiva Abbaszadeh, Univ. of California, Santa Cruz (United States)
Mark Anastasio, Univ. of Illinois (United States)
Christian Boehm, ETH Zurich (Switzerland)
Jovan Brankov, Illinois Institute of Technology (United States)
Thomas Deserno, Peter L. Reichertz Institut für Medizinische Informatik (Germany)
Scott Doyle, Univ. at Buffalo (United States)
Yu Gan, Stevens Institute of Technology (United States)
Arundhuti Ganguly, Siemens Healthineers (United States)
Barjor Gimi, Univ. of Massachusetts Chan Medical School (United States)
William Hsu, Univ. of California Los Angeles (United States)
Pierre Jannin, INSERM, Univ. de Rennes (France)
Andrzej Krol, SUNY Upstate Medical Univ. (United States)
Ke Li, The Univ. of Texas M.D. Anderson Cancer Ctr. (United States)
Mohammad Mehrmohammadi, Univ. of Rochester (United States)
Jhimli Mitra, GE Healthcare (United States)
Maryam Rettmann, Mayo Clinic (United States)
John Tomaszewski, Univ. at Buffalo (United States)
Axel Wismüller, Univ. of Rochester Medical Ctr. (United States)
Xiaofeng Yang, The Winship Cancer Institute of Emory Univ. (United States)
Presentations and manuscripts presented at Medical Imaging are published in the Proceedings of SPIE on the SPIE Digital Library.
