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Town and Country Resort & Convention Center
San Diego, California, United States
16 - 21 February 2019
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The leading conference that explores the science of medical imaging

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SPIE Medical Imaging 2019
The conference where the latest information is presented by leading researchers in image processing, physics, computer-aided diagnosis, perception, image-guided procedures, biomedical applications, ultrasound, informatics, radiology and digital pathology. Also a focus on fast emerging areas like deep learning, AI, and machine learning.

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Manuscript Due Date
23 January 2019

 Final Program PDF

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Hear latest advances from the 2019 Presenters

Thomas J. Fuchs

2019 Plenary
Dr. Thomas J. Fuchs
Associate Attending,
Memorial Sloan Kettering Cancer Center
Associate Professor, Weill Cornell Medicine
Director of Computational Pathology, Department of Pathology 
New York, NY (USA)

Thomas Fuchs heads the Computational Pathology and Medical Machine Learning Lab at Memorial Sloan Kettering Cancer Center and teaches biomedical machine learning as associate professor at Weill-Cornell in New York City. He is director of The Warren Alpert Center for Digital and Computational Pathology.

His passion for the tremendous potential of artificial intelligence in medicine resulted in more than 90 publications spanning a range of topics from novel deep learning and Bayesian approaches for quantification to real-world applications in the clinic. 

2019 Keynote Presenters

Read more about the presenters and their topics

Lihong Wang, 
Caltech (United States)


Carola-Bibiane Schönlieb
Univ. of Cambridge (United Kingdom)


Bernardino Romera-Paredes
Google DeepMind (United Kingdom)


Kim Butts-Pauly
Stanford Univ. (United States)


Michael Webster
Univ. of Nevada, Reno (United States)


Christopher Filippi
North Shore-Long Island Jewish Health System (United States), Columbia Univ. (United States)


Andreas Fichtner
ETH Zürich (Switzerland)


Metin Gurcan
Wake Forest Baptist Medical Ctr. (United States)


Shiyuan Liu
Changzheng Hospital (China) 


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From fundamentals to
Deep Learning, 
multiple ways to learn.

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Acknowledging the best and brightest

2019 Awards

Excellence in presentations.
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Over 1000 papers across 9 conferences

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Participate in the conference that focuses on the latest innovations related to underlying fundamental scientific principles, technology developments, scientific evaluation, and clinical applications. View conferences online.

Complete list of 2019 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
Biomedical Applications in Molecular, Structural, and Functional Imaging 
Imaging Informatics for Healthcare, Research, and Applications
Ultrasonic Imaging and Tomography
Digital Pathology

It all happens in San Diego

Why medical imaging is at home in California:

More than just a vacation destination – this state is rich in medical research and advances directly affecting next-generation technologies in medical imaging and analysis. The area offers a variety of clinical facilities for patient care, translational research and medical advancements thanks to the proximity of numerous university campuses, \world-renowned medical research programs and hospitals. Some of these top ranked medical universities include University of California San Francisco, UC San Diego, School of Medicine, David Geffen School of Medicine, and Stanford School of Medicine. 
UC San Diego Health Sciences International is another strong research contributor and encompasses the University of California, San Diego School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, UC San Diego Health – the system of patient services provided at UC San Diego Medical Center, Jacobs Medical Center, Moores Cancer Center, Shiley Eye Institute, and other primary and specialty practices located throughout San Diego, California.

Make plans to present in San Diego and network with like-minded leaders gathering in one city.

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