C.-F. Westin

Brigham and Women's Hospital, Linköping University

Papers

Total Citations

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About

C.-F. Westin is a leading figure in computer vision and medical image analysis, renowned for pioneering work in tensor-based image processing and diffusion MRI. His research centers on robust filtering techniques for uncertain, irregularly sampled data, with profound applications in robot vision and biomedical imaging. Westin introduced normalized convolution and normalized differential convolution, methods that separate signal from certainty to handle missing or noisy data—a breakthrough that enables reliable analysis of sparse, real-world measurements. His early work on attention control for robot vision (20 citations) laid groundwork for adaptive visual systems, while his filtering innovations (12 citations) have become foundational in multidimensional signal processing. Beyond these, Westin is widely celebrated for his contributions to diffusion tensor imaging (DTI), where his algorithms for fiber tractography and white matter analysis have been cited thousands of times, shaping modern neuroimaging. He has received multiple best paper awards and serves as a professor at Harvard Medical School and Brigham and Women’s Hospital, where his interdisciplinary approach continues to inspire students and researchers at the intersection of computer vision, robotics, and medical imaging.