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Shreyas Fadnavis
Shreyas Fadnavis
Other namesश्रेयस फडणवीस
Postdoc @ Johnson & Johnson, Harvard University | PhD @ Indiana University Bloomington
Verified email at mgh.harvard.edu - Homepage
Title
Cited by
Cited by
Year
Dipy, a library for the analysis of diffusion MRI data
E Garyfallidis, M Brett, B Amirbekian, A Rokem, S Van Der Walt, ...
Frontiers in neuroinformatics 8, 8, 2014
12422014
QSIPrep: an integrative platform for preprocessing and reconstructing diffusion MRI data
M Cieslak, PA Cook, X He, FC Yeh, T Dhollander, A Adebimpe, ...
Nature methods 18 (7), 775-778, 2021
141*2021
Image Interpolation Techniques in Digital Image Processing
S Fadnavis
International Journal of Engineering Research and Applications 4 (10), 70-73, 2014
1412014
Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning
S Fadnavis, J Batson, E Garyfallidis
Advances in Neural Information Processing Systems 33, 16293-16303, 2020
872020
Brainhack: Developing a culture of open, inclusive, community-driven neuroscience
R Gau, S Noble, K Heuer, KL Bottenhorn, IP Bilgin, YF Yang, ...
Neuron 109 (11), 1769-1775, 2021
342021
Pandora: 4-D white matter bundle population-based atlases derived from diffusion MRI fiber tractography
CB Hansen, Q Yang, I Lyu, F Rheault, C Kerley, BQ Chandio, S Fadnavis, ...
Neuroinformatics 19, 447-460, 2021
212021
Segmentation of the brain using direction-averaged signal of DWI images
H Cheng, S Newman, M Afzali, SS Fadnavis, E Garyfallidis
Magnetic resonance imaging 69, 1-7, 2020
172020
Denoising of diffusion MRI in the cervical spinal cord–effects of denoising strategy and acquisition on intra-cord contrast, signal modeling, and feature conspicuity
KG Schilling*, S Fadnavis*, J Batson, M Visagie, AJE Combes, ...
Neuroimage 266, 119826, 2023
15*2023
On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge.
A De Luca, A Ianus, A Leemans, M Palombo, N Shemesh, H Zhang, ...
NeuroImage 240, 2021
152021
Bifurcated topological optimization for IVIM
S Fadnavis, S Endres, Q Wen, YC Wu, H Cheng, S Koudoro, S Rane, ...
Frontiers in Neuroscience 15, 779025, 2021
9*2021
Nuq: A noise metric for diffusion mri via uncertainty discrepancy quantification
S Fadnavis, J Sjölund, A Eklund, E Garyfallidis
arXiv preprint arXiv:2203.01921, 2022
32022
Optimal partitioning methods for image segmentation
S Fadnavis
The Journal of Engineering 2015 (11), 341-344, 2015
22015
Multi-scale V-net architecture with deep feature CRF layers for brain extraction
JS Park, S Fadnavis, E Garyfallidis
Communications Medicine 4 (1), 29, 2024
1*2024
Patch2Self denoising of diffusion MRI with self-supervision and matrix sketching
S Fadnavis, A Chowdhury, J Batson, P Drineas, E Garyfallidis
bioRxiv, 2022.03. 15.484539, 2022
12022
Bundleatlasing: unbiased population-specific atlasing of bundles in streamline space
D Romero-Bascones, BQ Chandio, S Fadnavis, JS Park, S Koudoro, ...
Proc. ISMRM, 2022
12022
MVD-Fuse: Detection of White Matter Degeneration via Multi-View Learning of Diffusion Microstructure
S Fadnavis, P Polosecki, E Garyfallidis, E Castro, G Cecchi
bioRxiv, 2021.04. 15.440095, 2021
12021
Denoising of DWI signal using deep learning
H Cheng, J Wang, SS Fadnavis, E Garyfallidis, S Newman
ISMRM 28th Annual Meeting, 2020
12020
Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ): Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis
CMJ Wannan, B Nelson, J Addington, K Allott, A Anticevic, C Arango, ...
Schizophrenia Bulletin, sbae011, 2024
2024
Data-driven characterization of Preterm Birth through intramodal Diffusion MRI
R Trò, M Roascio, D Tortora, M Severino, A Rossi, E Garyfallidis, ...
bioRxiv, 2023.01. 12.523771, 2023
2023
Examining the Impact of Food Insecurity on White Matter in Children and Adolescents: An ABCD Study
A Lyall, S Fadnavis, S Cetin-Karayumak, F Zhang, O Pasternak, ...
NEUROPSYCHOPHARMACOLOGY 47 (SUPPL 1), 144-145, 2022
2022
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