Program now available
Registration open
>
16 - 20 February 2025
San Diego, California, US

SPIE Medical Imaging conferences

Conference topics range from image processing, biomedical applications, informatics, digital pathology, and deep learning

Featuring nine conference topics

Hear the latest research at SPIE Medical Imaging. Access conference content from the leading event for the advancement of medical imaging sciences and technologies.

Where the science of medical imaging is explored


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.

Conference topics


  • Physics of Medical Imaging
  • Image Processing
  • Computer-Aided Diagnosis
  • Image-Guided Procedures, Robotic Interventions, and Modeling
  • Image Perception, Observer Performance, and Technology Assessment
  • Clinical and Biomedical Imaging
  • Imaging Informatics
  • Ultrasonic Imaging and Tomography
  • Digital and Computational Pathology

Advance your career with a course related to medical imaging technologies


Courses that have been designed for advancing your career and professional skills and will be available onsite in San Diego.
Learn more

Physics of Medical Imaging

Photon Counting CT – SC1129
Instructor(s): Mats Danielsson, Mats Persson

Modern and Future Diagnostic X-ray Sources – SC1183
Instructor(s): Rolf K. Behling

Clinical and Biomedical Imaging
Image Processing

From Analytic to Clinical Validation: Moving AI/ML into Practice – SC1295
Instructor(s): William Hsu, Matthew Brown, Robert Nishikawa, Elizabeth Krupinski


 


Clinical and Biomedical Imaging

Image Processing
Computer Aided Diagnosis

Transformers: A Powerful Tool for Image Analysis and Generation – SC1324
Instructor(s): Hans Meine, Felix Thielke

AI-based Medical Imaging: Fairness in Models and Causality in Images – SC1351
Instructor(s): Marcus Wenzel, Eike Petersen

Symposium Chairs


Joseph Lo

Carl E. Ravin Advanced Imaging Labs.,
Duke Univ. School of Medicine
(United States)

Cristian A. Linte

Carlson Ctr. for Imaging Science,
Rochester Institute of Technology
(United States)

Executive Organizing Committee


Shiva Abbaszadeh, Univ. of California, Santa Cruz (United States)
Mark Anastasio, Univ. of Illinois (United States)
Susan Astley, The Univ. of Manchester (United Kingdom)
Christian Boehm, ETH Zurich (Switzerland)
Jovan Brankov, Illinois Institute of Technology (United States)
Olivier Colliot, Ctr. National de la Recherche Scientifique (France)
Barjor Gimi, Univ. of Massachusetts Chan Medical School (United States)
Andrzej Krol, SUNY Upstate Medical Univ. (United States)
Ke Li, Univ. of Wisconsin School of Medicine and Public Health (United States)
Mohammad Mehrmohammadi, Univ. of Rochester (United States)
Jhimli Mitra, GE Healthcare (United States)
Maryam Rettmann, Mayo Clinic (United States)
John Sabol, Konica Minolta Healthcare Americas, Inc. (United States)
Jeffrey Siewerdsen, The Univ. of Texas MD Anderson Cancer Ctr. (United States)
John Tomaszewski, Univ. at Buffalo (United States)
Aaron Ward, The Univ. of Western Ontario (Canada)
Axel Wismüller, Univ. of Rochester Medical Ctr. (United States)
Shandong Wu, Univ. of Pittsburgh (United States)

Medical Imaging registration includes 50 SPIE Digital Library downloads


Access the research you need

Presentations and manuscripts presented at Medical Imaging are published in the Proceedings of SPIE on the SPIE Digital Library.