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    William Wells

    Professor of Radiology at Harvard Medical School

    William Wells is a highly accomplished professional specializing in the application of probabilistic and information-theoretic methods in medical image understanding, particularly in segmentation, registration, and activation detection. He has an extensive background in supervising graduate students, postdoctoral researchers, and mentoring junior faculty in NIH funded projects. One of his notable achievements includes co-developing a pioneering method for multi-modality image registration with Paul Viola, which has set the standard in the field and is widely adopted in both commercial and open-source software systems.

    In the realm of segmentation, William Wells is credited with devising the first successful method (EM segmentation) for fully-automatic segmentation of MRI into gray matter and white matter. This groundbreaking approach has had a significant impact on the field, leading to the development of numerous derivative methods. His contributions in registration and segmentation are highly esteemed and extensively cited within the medical image processing community.

    He has also made significant contributions to the integration of deep networks in medical image analysis, with a specific focus on information theory and ensemble methods. William Wells holds a Doctor of Philosophy (Ph.D.) in Electrical Engineering and Computer Science from MIT, a Master of Science in Computer Science from Stanford University, and a Bachelor of Science in Physics from UCSC. He has held positions as a Professor of Radiology at Harvard Medical School, a Research Scientist at MIT, a Research Software Engineer at SRI International, a Programmer at Silma Inc., and an Engineer at Lockheed.

    William Wells's work exemplifies a deep commitment to advancing the field of medical image processing through innovative research and leadership. His expertise in probabilistic and information-theoretic methods, coupled with his extensive experience in academia and industry, underscores his profound impact on the domain.

    William Wells
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    Location

    Cambridge, Massachusetts, United States