Hemant Tagare, PhD
Professor of Radiology and Biomedical Imaging and of Biomedical EngineeringCards
About
Titles
Professor of Radiology and Biomedical Imaging and of Biomedical Engineering
Appointments
Radiology & Biomedical Imaging
ProfessorPrimaryStatistics
ProfessorSecondary
Other Departments & Organizations
- Bioimaging Sciences
- Center for Biomedical Data Science
- Center for Brain & Mind Health
- Computational Biology and Biomedical Informatics
- Image Processing & Analysis Group
- Radiology & Biomedical Imaging
- Statistics
- Yale Biomedical Imaging Institute
- Yale Combined Program in the Biological and Biomedical Sciences (BBS)
- Yale Ventures
Education & Training
- PhD
- Rice University (1989)
Research
Overview
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.
Medical Research Interests
Biomedical Engineering; Cryoelectron Microscopy; Magnetic Resonance Imaging; Radiology
Publications
2025
Author Correction: HIV-1 Env trimers asymmetrically engage CD4 receptors in membranes
Li W, Qin Z, Nand E, Grunst M, Grover J, Bess J, Lifson J, Zwick M, Tagare H, Uchil P, Mothes W. Author Correction: HIV-1 Env trimers asymmetrically engage CD4 receptors in membranes. Nature 2025, 639: e15-e15. PMID: 39994465, PMCID: PMC11903299, DOI: 10.1038/s41586-025-08802-9.Peer-Reviewed Original Research
2024
REliable PIcking by Consensus (REPIC): a consensus methodology for harnessing multiple cryo-EM particle pickers
Cameron C, Seager S, Sigworth F, Tagare H, Gerstein M. REliable PIcking by Consensus (REPIC): a consensus methodology for harnessing multiple cryo-EM particle pickers. Communications Biology 2024, 7: 1421. PMID: 39482410, PMCID: PMC11528043, DOI: 10.1038/s42003-024-07045-0.Peer-Reviewed Original ResearchConceptsCryo-EM usersParticle identificationParticle pickingLow signal-to-noise ratioAchievable resolutionSignal-to-noise ratioState-of-the-art computational algorithmsInteger linear programmingParticle setManual interventionHigh-quality particlesGraph problemsParticle locationMultiple pickersParticlesEfficient standardization of clinical T2‐weighted images: Phase‐conjugacy e‐CAMP with projected gradient descent
Zhang H, Elsaid N, Sun H, Tagare H, Galiana G. Efficient standardization of clinical T2‐weighted images: Phase‐conjugacy e‐CAMP with projected gradient descent. Magnetic Resonance In Medicine 2024, 92: 2723-2733. PMID: 38988054, DOI: 10.1002/mrm.30214.Peer-Reviewed Original ResearchData fidelity termSignal evolution modelFidelity termGradient descentProjected GradientEfficient algorithmVirtual conjugate coilAlgorithmObjective functionMapping errorsTunable parametersLinear constraintsSampling schemeTSE dataLong echo train lengthMapsTrain lengthVirtualTurbo spin echoEcho train lengthHigh-resolutionSchemeDataBackground phaseError rangeMeasuring Perfusion in Peripheral Artery Disease Using an Advanced IVIM Method
Elsaid N, Galiana G, Thorn S, Vermillion B, Burns R, Jung S, Zohoro F, Sinusas A, Tagare H. Measuring Perfusion in Peripheral Artery Disease Using an Advanced IVIM Method. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2024 DOI: 10.58530/2024/2601.Peer-Reviewed Original ResearchEfficient Standardization of Clinical T2-Weighted Images: Phase-Conjugacy e-CAMP with Projected Gradient Descent
Zhang H, Elsaid N, Sun H, Tagare H, Galiana G. Efficient Standardization of Clinical T2-Weighted Images: Phase-Conjugacy e-CAMP with Projected Gradient Descent. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2024 DOI: 10.58530/2024/2733.Peer-Reviewed Original ResearchProjected Gradient DescentGradient descentMachine learningLarge-scale machine learningMassive data sourcesMap reconstructionParameter tuningRobust implementationParameter choicesEfficient enforcementData sourcesModel constraintsVirtual conjugate coilLearningImagesRoutine clinical imagingVirtualClinical imagesAlgorithmDatasetClinical scansParameter valuesMachineDescentQuantitative imagingConstrained alternating minimization for parameter mapping (CAMP)
Elsaid N, Dispenza N, Hu C, Peters D, Constable R, Tagare H, Galiana G. Constrained alternating minimization for parameter mapping (CAMP). Magnetic Resonance Imaging 2024, 110: 176-183. PMID: 38657714, PMCID: PMC11193090, DOI: 10.1016/j.mri.2024.04.029.Peer-Reviewed Original ResearchConceptsAlternating minimizationAccelerated parameter mappingImage qualityReconstructed image qualityEfficient reconstruction algorithmSacrificing model accuracyParameter mapsPhantom studyK-space samplingAcceleration datasetsK-spaceUndersampling artifactsCartesian acquisitionConsecutive imagesReconstruction algorithmIndividual imagesModel cost functionExponential decayEcho timeReconstruction methodCost functionReduce artifactsPhantomScan timeObjective function
2023
A Simulation Study of the Effect of Sampling Strategy on Computation of T2 Maps
Galiana G, Elsaid N, Tagare H. A Simulation Study of the Effect of Sampling Strategy on Computation of T2 Maps. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2023 DOI: 10.58530/2023/1634.Peer-Reviewed Original ResearchA novel method to calculate standardized quantitative maps from a single T2-weighted image: A feasibility study.
Elsaid N, Tagare H, Galiana G. A novel method to calculate standardized quantitative maps from a single T2-weighted image: A feasibility study. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2023 DOI: 10.58530/2023/0288.Peer-Reviewed Original Research
2008
Comparison of EM-based and Level Set Partial Volume Segmentations of MR Brain Images
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.Peer-Reviewed Original ResearchSymmetric Non-rigid Registration: A Geometric Theory and Some Numerical Techniques
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.Peer-Reviewed Original Research
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Radiology & Biomedical Imaging
N309C, The Anlyan Center, 333 Cedar St.
New Haven, CT 06520-8042
United States