Hemant D. Tagare PhD

Professor of Diagnostic Radiology, of Biomedical Engineering and of Electrical Engineering

Research Interests

Heart motion analysis


Research Summary

Dr. Hemant D. Tagare's research interests include new and innovative approaches to bio-medical image analysis, especially in Cryogenic electron microscopy of proteins, MRI and ultrasound image segmentation, non-rigid registration, shape spaces, and image indexing, and each of the former's foundational issues.

Extensive Research Description

Dr. Hemant D. Tagare's research interests include new and innovative approaches to bio-medical image analysis, especially in Cryogenic electron microscopy of proteins, MRI and ultrasound image segmentation, non-rigid registration, shape spaces, and image indexing, and each of the former's foundational issues. Dr. Tagare works on the theoretical and practical problems in bio-medical image analysis. His research focuses on image segmentation, non-rigid registration, 3D reconstruction, and shape theory. Within segmentation, Dr. Tagare mainly studies cardiac ultrasound and brain MRI segmentation, and especially the development of new methodology that draws on machine-learning and advanced numerical optimization techniques. Regarding non-rigid registration, he is developing an axiomatic framework for registration that is applied to brain deformation and atlas building. In 3D reconstruction, Dr. Tagare focuses his research on reconstructing protein structure from Cryogenic Electron Microscopy. In the field of shape theory, his work addresses questions of the topology and geometry of affine shape spaces and non-rigid shape comparison. Dr. Tagare receives research funding from the N.I.H.


Selected Publications

  • Tagare H.D., Groisser D., Skrinjar O., “Symmetric Non-rigid Registration: A Geometric Theory and Some Numerical Techniques”, Journal of Mathematical Imaging and Vision 2008.
  • Tagare H. D., Chen Y., Fulbright R. K., “Comparison of EM-based and Level Set Partial Volume Segmentations of MR Brain Images”, (J. M. Reinhardt, J. P. W. Pluim, eds.), Medical Imaging 2208, Proc. SPIE vol6914, pp.69140N-1 - 69140N-7, 2008.
  • Yue Y., Tagare H. D., “Evaluation of a Level Set Segmentation Method for Cardiac Ultrasound Images”, S.P.I.E. Symposium on Medical Imaging, San Diego, 2008.
  • Tagare H. D., Sigworth F., Barthel A., "Fast, Adaptive Expectation-Maximization for Cryo-EM", MICCAI 2008.
  • Tagare H. D., Groisser D., Skrinjar O. "A Geometric Theory of Symmetric Registration." Mathematical Methods in Biomedical Image Analysis, Intl. Conference on Computer Vision and Pattern Recognition, New York, NY, 2006.

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