Harvard Catalyst Profiles

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Rohit Bakshi, M.D.

Co-Author

This page shows the publications co-authored by Rohit Bakshi and Renxin Chu.
Connection Strength

5.020
  1. Whole brain and deep gray matter atrophy detection over 5 years with 3T MRI in multiple sclerosis using a variety of automated segmentation pipelines. PLoS One. 2018; 13(11):e0206939.
    View in: PubMed
    Score: 0.787
  2. Automated segmentation of cerebral deep gray matter from MRI scans: effect of field strength on sensitivity and reliability. BMC Neurol. 2017 Sep 05; 17(1):172.
    View in: PubMed
    Score: 0.725
  3. Whole Brain Volume Measured from 1.5T versus 3T MRI in Healthy Subjects and Patients with Multiple Sclerosis. J Neuroimaging. 2016 Jan-Feb; 26(1):62-7.
    View in: PubMed
    Score: 0.623
  4. 7T MRI cerebral leptomeningeal enhancement is common in relapsing-remitting multiple sclerosis and is associated with cortical and thalamic lesions. Mult Scler. 2020 02; 26(2):177-187.
    View in: PubMed
    Score: 0.211
  5. Gray matter microglial activation in relapsing vs progressive MS: A [F-18]PBR06-PET study. Neurol Neuroimmunol Neuroinflamm. 2019 09; 6(5):e587.
    View in: PubMed
    Score: 0.206
  6. Gray matter microglial activation in relapsing vs progressive MS: A [F-18]PBR06-PET study. Neurol Neuroimmunol Neuroinflamm. 2019 Sep; 6(5).
    View in: PubMed
    Score: 0.206
  7. 18F-PBR06 Versus 11C-PBR28 PET for Assessing White Matter Translocator Protein Binding in Multiple Sclerosis. Clin Nucl Med. 2018 Sep; 43(9):e289-e295.
    View in: PubMed
    Score: 0.194
  8. Whole-brain atrophy assessed by proportional- versus registration-based pipelines from 3T MRI in multiple sclerosis. Brain Behav. 2018 08; 8(8):e01068.
    View in: PubMed
    Score: 0.193
  9. A two-year study using cerebral gray matter volume to assess the response to fingolimod therapy in multiple sclerosis. J Neurol Sci. 2017 Dec 15; 383:221-229.
    View in: PubMed
    Score: 0.183
  10. Association Between Serum MicroRNAs and Magnetic Resonance Imaging Measures of Multiple Sclerosis Severity. JAMA Neurol. 2017 03 01; 74(3):275-285.
    View in: PubMed
    Score: 0.175
  11. Sample size requirements for one-year treatment effects using deep gray matter volume from 3T MRI in progressive forms of multiple sclerosis. Int J Neurosci. 2017 Nov; 127(11):971-980.
    View in: PubMed
    Score: 0.174
  12. The Effect of Dimethyl Fumarate on Cerebral Gray Matter Atrophy in Multiple Sclerosis. Neurol Ther. 2016 Dec; 5(2):215-229.
    View in: PubMed
    Score: 0.170
  13. The Contribution of Cortical Lesions to a Composite MRI Scale of Disease Severity in Multiple Sclerosis. Front Neurol. 2016; 7:99.
    View in: PubMed
    Score: 0.167
  14. Serum lipid antibodies are associated with cerebral tissue damage in multiple sclerosis. Neurol Neuroimmunol Neuroinflamm. 2016 Apr; 3(2):e200.
    View in: PubMed
    Score: 0.162
  15. T1- vs. T2-based MRI measures of spinal cord volume in healthy subjects and patients with multiple sclerosis. BMC Neurol. 2015 Jul 31; 15:124.
    View in: PubMed
    Score: 0.157
  16. Brain MRI lesions and atrophy are associated with employment status in patients with multiple sclerosis. J Neurol. 2015 Nov; 262(11):2425-32.
    View in: PubMed
    Score: 0.157
  17. MRI detection of hypointense brain lesions in patients with multiple sclerosis: T1 spin-echo vs. gradient-echo. Eur J Radiol. 2015 Aug; 84(8):1564-1568.
    View in: PubMed
    Score: 0.154
  18. Gut Microbiome in Progressive Multiple Sclerosis. Ann Neurol. 2021 06; 89(6):1195-1211.
    View in: PubMed
    Score: 0.058
  19. Detection of Cortical and Deep Gray Matter Lesions in Multiple Sclerosis Using DIR and FLAIR at 3T. J Neuroimaging. 2021 03; 31(2):408-414.
    View in: PubMed
    Score: 0.057
  20. Regional microglial activation in the substantia nigra is linked with fatigue in MS. Neurol Neuroimmunol Neuroinflamm. 2020 09 03; 7(5).
    View in: PubMed
    Score: 0.055
  21. Multiple sclerosis lesions in motor tracts from brain to cervical cord: spatial distribution and correlation with disability. Brain. 2020 07 01; 143(7):2089-2105.
    View in: PubMed
    Score: 0.055
  22. Multiple Sclerosis Lesion Segmentation with Tiramisu and 2.5D Stacked Slices. Med Image Comput Comput Assist Interv. 2019 Oct; 11766:338-346.
    View in: PubMed
    Score: 0.052
  23. Lifespan normative data on rates of brain volume changes. Neurobiol Aging. 2019 09; 81:30-37.
    View in: PubMed
    Score: 0.051
  24. Quantitative MRI analysis of cerebral lesions and atrophy in post-partum patients with multiple sclerosis. J Neurol Sci. 2018 09 15; 392:94-99.
    View in: PubMed
    Score: 0.048
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.