🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Eleftherios Garyfallidis

Indiana University Bloomington

ORCID: 0000-0002-3991-2774
NeuroscienceMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 3%percentile
1.7Author DataRank

Indexed papers

3in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 3 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

MASiVar: Multisite, multiscanner, and multisubject acquisitions for studying variability in diffusion weighted MRI

Magnetic Resonance in Medicine(2021)10.1002/mrm.28926
Top 22%
0.925DataRank
Top 22%43 citations

Qi Yang, Praitayini Kanakaraj, Vishwesh Nath, Allen T. Newton, Heidi A. Edmonson +14 more

Papers

Driven by 27 papers — median percentile 57. Top paper: “Diffusional Kurtosis Imaging in the Diffusion Imaging in Python Project”.

Diffusional Kurtosis Imaging in the Diffusion Imaging in Python Project

Frontiers in Human Neuroscience(2021)10.3389/fnhum.2021.675433
N/A
1.6DataRank · unranked
73 citations

Marta Correia, Maurizio Marrale, Elizabeth Huber, John Kruper, Serge Koudoro +4 more

MASiVar: Multisite, multiscanner, and multisubject acquisitions for studying variability in diffusion weighted MRI

Magnetic Resonance in Medicine(2021)10.1002/mrm.28926
Top 22%
0.925DataRank
Top 22%43 citations

Qi Yang, Praitayini Kanakaraj, Vishwesh Nath, Allen T. Newton, Heidi A. Edmonson +14 more

Denoising of diffusion MRI in the cervical spinal cord – effects of denoising strategy and acquisition on intra-cord contrast, signal modeling, and feature conspicuity

NeuroImage(2022)10.1016/j.neuroimage.2022.119826
N/A
0.494DataRank · unranked
26 citations

Shreyas Fadnavis, Joshua Batson, Mereze Visagie, Anna Combes, Samantha By +7 more

MASiVar: Multisite, Multiscanner, and Multisubject Acquisitions for Studying Variability in Diffusion Weighted Magnetic Resonance Imaging

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.12.03.408567
Top 43%
0.439DataRank
Top 43%8 citations

Qi Yang, Praitayini Kanakaraj, Vishwesh Nath, Allen T. Newton, Heidi A. Edmonson +14 more

Learning white matter subject‐specific segmentation from structural MRI

Medical Physics(2022)10.1002/mp.15495
N/A
0.385DataRank · unranked
12 citations

Colin B. Hansen, Leon Y. Cai, François Rheault, Ho Hin Lee, Shunxing Bao +9 more

Pandora: 4-D white matter bundle population-based atlases derived from diffusion MRI fiber tractography

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.06.12.148999
Top 49%
0.364DataRank
Top 49%10 citations

Qi Yang, Ilwoo Lyu, François Rheault, Cailey I. Kerley, Bramsh Q. Chandio +14 more

DeepN4: Learning N4ITK Bias Field Correction for T1-weighted Images

Research Square(2023)10.21203/rs.3.rs-3585882/v1
N/A
0.241DataRank · unranked
4 citations

Tianyuan Yao, Leon Y. Cai, Ho Hin Lee, Nancy R. Newlin, Michael E. Kim +13 more

Mapping the “missing” pathways of the anterior cingulate cortex in the human brain

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.10.28.514260
N/A
0.104DataRank · unranked
1 citations

Javier Guaje, Shreyas Fadnavis, Eleftherios Garyfallidis, Wei Tang

Patch2Self denoising of diffusion MRI in the cervical spinal cord improves intra-cord contrast, signal modelling, repeatability, and feature conspicuity

medRxiv(2021)10.1101/2021.10.04.21264389
N/A
0DataRank · unranked
11 citations

Shreyas Fadnavis, Joshua Batson, Mereze Visagie, Anna Combes, Colin D. McKnight +6 more

FiberNeat: Unsupervised White Matter Tract Filtering

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.10.26.465991
N/A
0DataRank · unranked
6 citations

Tamoghna Chattopadhyay, Conor Owens‐Walton, Julio E Villalon Reina, Leila Nabulsi, Sophia I. Thomopoulos +3 more

FiberNeat: Unsupervised White Matter Tract Filtering

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)(2022)10.1109/embc48229.2022.9870877
N/A
0DataRank · unranked
8 citations

Tamoghna Chattopadhyay, Conor Owens‐Walton, Julio E Villalon Reina, Leila Nabulsi, Sophia I. Thomopoulos +3 more

brainlife.io: a decentralized and open-source cloud platform to support neuroscience research

Nature Methods(2024)10.1038/s41592-024-02237-2
N/A
0DataRank · unranked
70 citations

Bradley Caron, Anibal Sólon Heinsfeld, Sophia Vinci‐Booher, Brent McPherson, Daniel Bullock +59 more

DeepN4: Learning N4ITK Bias Field Correction for T1-weighted Images

Neuroinformatics(2024)10.1007/s12021-024-09655-9
N/A
0DataRank · unranked
14 citations

Tianyuan Yao, Leon Y. Cai, Ho Hin Lee, Nancy R. Newlin, Michael E. Kim +15 more

Multi-scale V-net architecture with deep feature CRF layers for brain extraction

Communications Medicine(2024)10.1038/s43856-024-00452-8
N/A
0DataRank · unranked
9 citations

Shreyas Fadnavis, Eleftherios Garyfallidis, Jong Sung Park

MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI

The Journal of Machine Learning for Biomedical Imaging(2024)10.59275/j.melba.2024-9c68
N/A
0DataRank · unranked
2 citations

Kurt G. Schilling, Serge Koudoro, Bramsh Q. Chandio, Praitayini Kanakaraj, Daniel Moyer +31 more

Bundle Analytics based Data Harmonization for Multi-Site Diffusion MRI Tractometry

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.02.03.578764
N/A
0DataRank · unranked
3 citations

Julio E. Villalón‐Reina, Talia M. Nir, Sophia I. Thomopoulos, Yixue Feng, Sebastian Benavidez +5 more

Introducing QuantConn: Overcoming Challenging Diffusion Acquisitions with Harmonization

Lecture notes in computer science(2025)10.1007/978-3-031-86920-4_15
N/A
0DataRank · unranked
0 citations

Kurt G. Schilling, Serge Koudoro, Bramsh Q. Chandio, Praitayini Kanakaraj, Daniel Moyer +26 more

White Matter Tract Vulnerability to Amyloid Pathology on the Alzheimer’s Disease Continuum

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.08.18.670970
N/A
0DataRank · unranked
0 citations

Talia M. Nir, Julio E. Villalón‐Reina, Sophia I. Thomopoulos, Yixue Feng, Robert I. Reid +10 more

Bundle analytics, a computational framework for investigating the shapes and profiles of brain pathways across populations

Scientific Reports(2020)10.1038/s41598-020-74054-4
N/A
0DataRank · unranked
141 citations

Shannon L. Risacher, Franco Pestilli, Daniel Bullock, Fang‐Cheng Yeh, Serge Koudoro +4 more

White Matter Tract Vulnerability to Amyloid Pathology on the Alzheimer’s Disease Continuum

(2025)10.1109/sipaim67325.2025.11283325
N/A
0DataRank · unranked
0 citations

Talia M. Nir, Julio E. Villalón‐Reina, Sophia I. Thomopoulos, Yixue Feng, Robert I. Reid +8 more

The sensitivity of diffusion MRI to microstructural properties and experimental factors

Journal of Neuroscience Methods(2020)10.1016/j.jneumeth.2020.108951
N/A
0DataRank · unranked
119 citations

Tomasz Pieciak, Sharlene D. Newman, Eleftherios Garyfallidis, Evren Özarslan, Hu Cheng +2 more

Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography

Neuroinformatics(2020)10.1007/s12021-020-09497-1
N/A
0DataRank · unranked
29 citations

Qi Yang, Ilwoo Lyu, François Rheault, Cailey I. Kerley, Bramsh Q. Chandio +14 more

Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning

Neural Information Processing Systems(2020)10.48550/arxiv.2011.01355
N/A
0DataRank · unranked
40 citations

Joshua Batson, Eleftherios Garyfallidis, Shreyas Fadnavis

QSIPrep: an integrative platform for preprocessing and reconstructing diffusion MRI data

Nature Methods(2021)10.1038/s41592-021-01185-5
N/A
0DataRank · unranked
332 citations

Philip A. Cook, Xiaosong He, Fang‐Cheng Yeh, Thijs Dhollander, Azeez Adebimpe +37 more

What’s new and what’s next in diffusion MRI preprocessing

NeuroImage(2021)10.1016/j.neuroimage.2021.118830
N/A
0DataRank · unranked
114 citations

Matteo Bastiani, Jelle Veraart, Eleftherios Garyfallidis, M. Okan İrfanoğlu, Chantal M. W. Tax

Evaluating the Reliability of Human Brain White Matter Tractometry

Aperture Neuro(2021)10.52294/e6198273-b8e3-4b63-babb-6e6b0da10669
N/A
0DataRank · unranked
84 citations

Jason D. Yeatman, Adam Richie-Halford, D. M. Bloom, Mareike Grotheer, Sendy Caffarra +7 more

Diffusional Kurtosis Imaging in the Diffusion Imaging in Python Project

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.03.04.433972
N/A
0DataRank · unranked
13 citations

Marta Correa, Maurizio Maralle, Elizabeth Huber, John Kruper, Serge Koudoro +4 more