| 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 | 1320 | 2014 |
| 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 | 159* | 2021 |
| Image Interpolation Techniques in Digital Image Processing S Fadnavis International Journal of Engineering Research and Applications 4 (10), 70-73, 2014 | 153 | 2014 |
| Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning S Fadnavis, J Batson, E Garyfallidis Advances in Neural Information Processing Systems 33, 16293-16303, 2020 | 94 | 2020 |
| 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 | 37 | 2021 |
| 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 | 26 | 2021 |
| 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 | 17 | 2020 |
| 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 | 16 | 2021 |
| 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 |
| 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 | 10* | 2021 |
| 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 50 (3), 496-512, 2024 | 4 | 2024 |
| 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 | 3 | 2022 |
| Patch2Self2: Self-supervised Denoising on Coresets via Matrix Sketching S Fadnavis, A Chowdhury, J Batson, P Drineas, E Garyfallidis Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2* | 2024 |
| Optimal partitioning methods for image segmentation S Fadnavis The Journal of Engineering 2015 (11), 341-344, 2015 | 2 | 2015 |
| 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 |
| Bundleatlasing: unbiased population-specific atlasing of bundles in streamline space D Romero-Bascones, U Ayala, M Barrenechea | 1 | 2022 |
| 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 | 1 | 2021 |
| Denoising of DWI signal using deep learning H Cheng, J Wang, SS Fadnavis, E Garyfallidis, S Newman ISMRM 28th Annual Meeting, 2020 | 1 | 2020 |
| 754 ARGES: AN AI-CENTRIC TOOLBOX FOR IBD CLINICAL TRIAL RESEARCH AND DEVELOPMENT PF Damasceno, K Chaitanya, P Mobadersany, C Parmar, S Fadnavis, ... Gastroenterology 166 (5), S-178-S-179, 2024 | | 2024 |
| Fusion of biomedical imaging studies for increased sample size and diversity: a case study of brain MRI M Aiskovich, E Castro, JM Reinen, S Fadnavis, A Mehta, H Li, ... Frontiers in radiology 4, 1283392, 2024 | | 2024 |
Eleftherios GaryfallidisAssociate Professor, Indiana University在 indiana.edu 的电子邮件经过验证
