Yogesh Rathi, Ph.D.

Affiliations: 
2007- Psychiatry Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States 
 2016- Radiology Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States 
Area:
signal and image-processing, statistics, control theory, machine learning, computer vision and related applications in medical imaging, smart imaging techniques, fast and ultra-high resolution imaging of diffusion MRI
Website:
http://pnl.bwh.harvard.edu/yogesh-rathi-ph-d/
Google:
"Yogesh Rathi"
Bio:

Yogesh Rathi received his Ph.D. in Electrical and Computer Engineering in 2006 from Georgia Institute of Technology, Atlanta. He obtained a Masters in Mathematics and Bachelors in Electrical and Electronics Engineering from the Birla Institute of Technology and Science, Pilani, India. In 2007-2008 he was a Post-Doctoral Research Fellow at Harvard Medical School, he followed to become an Instructor (2008), Assistant Professor (2009), and Associate Professor (2016) at the Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, and Harvard Medical School.
See more at Harvard Medical School (https://lmi.med.harvard.edu/people/yogesh-rathi)

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Cross-listing: Neurotrauma Tree - Imaging Tree - Robotree

Parents

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Sylvain Bouix post-doc 2007-2010 Brigham and Women's Hospital, Harvard Medical School
Martha Elizabeth Shenton research scientist 2007- Brigham & Women's Hospital, Harvard Medical School
 (Information System and Research Council grant award; "Diffusion Modeling and Fiber Cup Award" for the best tractography algorithm competition held during MICCAI – Medical Image Computing and Computer Assisted Intervention Conference, 2009)

Children

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Benjamin Reid research assistant 2017- Brigham and Women's Hospital, Harvard Medical School
Sarina Karmacharya research assistant 2015-2018 Brigham and Women's Hospital, Harvard Medical School
Madhura Bakshi grad student 2014- Brigham and Women's Hospital, Harvard Medical School
Jalpa Patel grad student 2008-2009 Brigham and Women's Hospital, Harvard Medical School
Padmapriya Srinivasan grad student 2008-2009 Brigham and Women's Hospital, Harvard Medical School
Po Chang Hsu grad student 2010-2011 Brigham and Women's Hospital, Harvard Medical School
Stefan Leinhard grad student 2010-2011 Brigham and Women's Hospital, Harvard Medical School
Christian Baumgartner grad student 2011-2012 Brigham and Women's Hospital, Harvard Medical School
Ryan Eckbo grad student 2010-2014 Brigham and Women's Hospital, Harvard Medical School
Come Carquex grad student 2015-2015 Brigham and Women's Hospital, Harvard Medical School
Efe Carabeyli grad student 2015-2016 Brigham and Women's Hospital, Harvard Medical School
Lipeng Ning post-doc 2013- Brigham and Women's Hospital, Harvard Medical School (Robotree)
James Malcolm post-doc 2007-2010 Brigham and Women's Hospital, Harvard Medical School
Hsiao Piau Ng post-doc 2009-2010 Brigham and Women's Hospital, Harvard Medical School
Takeshi Asami post-doc 2009-2011 Brigham and Women's Hospital, Harvard Medical School
Hengameh Dastard post-doc 2014-2016 Brigham and Women's Hospital, Harvard Medical School
Weining Wu post-doc 2015-2017 Brigham and Women's Hospital, Harvard Medical School
Suheyla Cetin post-doc 2017-2020 Brigham and Women's Hospital, Harvard Medical School
Gabriel Ramos Llorden post-doc 2018-2020 Brigham and Women's Hospital, Harvard Medical School
Peter Savadjiev research scientist 2011- Brigham and Women's Hospital, Harvard Medical School
Gallagher Pryor research scientist 2007-2007 Brigham and Women's Hospital, Harvard Medical School
Pradyumna Reddy research scientist 2014-2016 Brigham and Women's Hospital, Harvard Medical School
Samar Fouda research scientist 2016-2017 Brigham and Women's Hospital, Harvard Medical School
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Publications

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Harms MP, Cho KK, Anticevic A, et al. (2025) The MR neuroimaging protocol for the Accelerating Medicines Partnership® Schizophrenia Program. Schizophrenia (Heidelberg, Germany). 11: 52
Legarreta JH, Lan Z, Chen Y, et al. (2025) Towards an informed choice of diffusion MRI image contrasts for cerebellar segmentation. Biorxiv : the Preprint Server For Biology
Shah HS, DeSalvo MN, Haidar A, et al. (2025) Characterization of cognitive decline in long-duration type 1 diabetes by cognitive, neuroimaging and pathological examinations. Jci Insight
Li C, Yang D, Yao S, et al. (2025) DDEvENet: Evidence-based ensemble learning for uncertainty-aware brain parcellation using diffusion MRI. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 120: 102489
Wróbel PP, Guder S, Feldheim JF, et al. (2024) Assessing the cortical microstructure in contralesional sensorimotor areas after stroke. Brain Communications. 6: fcae115
Makris N, Toppa PH, Rushmore RJ, et al. (2024) Combined T1-weighted MRI and diffusion MRI tractography of paraventricular, locus coeruleus, and dorsal vagal complex connectivity in brainstem-hypothalamic nuclei. Journal of Biological Methods. 11: e99010036
Newlin NR, Schilling K, Koudoro S, et al. (2024) MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI. Arxiv
Lan Z, Chen Y, Rushmore J, et al. (2024) Fiber Microstructure Quantile (FMQ) Regression: A Novel Statistical Approach for Analyzing White Matter Bundles from Periphery to Core. Biorxiv : the Preprint Server For Biology
Zhang F, Chen Y, Ning L, et al. (2024) Assessment of the Depiction of Superficial White Matter Using Ultra-High-Resolution Diffusion MRI. Human Brain Mapping. 45: e70041
Jun Y, Liu Q, Gong T, et al. (2024) PRIME: Phase Reversed Interleaved Multi-Echo acquisition enables highly accelerated distortion-free diffusion MRI. Arxiv
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