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

Radhika Tibrewala

Cornell University

ORCID: 0000-0002-3837-1144

Also affiliated with Advanced Imaging Research (United States), New York University

Medicine

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 1%percentile
5.8Author DataRank

Indexed papers

5in 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 5 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.

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

Research at the University of Copenhagen (University of Copenhagen)(2021)10.1148/ryai.2021200078
Top 6%
3.6DataRank
Top 6%78 citations

Francesco Calivá, Claudia Iriondo, Aliasghar Mortazi, Sachin Jambawalikar, Ulaş Bağcı +25 more

Papers

Driven by 10 papers — median percentile 69. Top paper: “The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset”.

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

Research at the University of Copenhagen (University of Copenhagen)(2021)10.1148/ryai.2021200078
Top 6%
3.6DataRank
Top 6%78 citations

Francesco Calivá, Claudia Iriondo, Aliasghar Mortazi, Sachin Jambawalikar, Ulaş Bağcı +25 more

FastMRI Prostate: A public, biparametric MRI dataset to advance machine learning for prostate cancer imaging

Scientific Data(2024)10.1038/s41597-024-03252-w
Top 19%
1.1DataRank
Top 19%29 citations

Tarun Dutt, Angela Tong, Luke Ginocchio, Riccardo Lattanzi, Mahesh Keerthivasan +7 more

Deep Learning for Hierarchical Severity Staging of Anterior Cruciate Ligament Injuries from MRI

Radiology Artificial Intelligence(2020)10.1148/ryai.2020190207
Top 31%
0.646DataRank
Top 31%73 citations

Io Flament, Bruno A. A. Nunes, Rutwik Shah, Radhika Tibrewala, Francesco Calivá +4 more

Automatic hip abductor muscle fat fraction estimation and association with early OA cartilage degeneration biomarkers

Journal of Orthopaedic Research®(2020)10.1002/jor.24974
N/A
0.385DataRank · unranked
12 citations

Valentina Pedoia, Jinhee Lee, Carla Kinnunen, Tijana Popovic, Alan L. Zhang +4 more

FastMRI Breast: A Publicly Available Radial k-Space Dataset of Breast Dynamic Contrast-enhanced MRI

Radiology Artificial Intelligence(2025)10.1148/ryai.240345
Top 51%
0.344DataRank
Top 51%5 citations

Patricia M. Johnson, Zhengguo Tan, Radhika Tibrewala, Yvonne W. Lui, Florian Knöll +4 more

fastMRI Breast: A publicly available radial k-space dataset of breast dynamic contrast-enhanced MRI

arXiv (Cornell University)(2024)10.48550/arxiv.2406.05270
Top 72%
0.115DataRank
Top 72%1 citations

Patricia M. Johnson, Zhengguo Tan, Radhika Tibrewala, Yvonne W. Lui, Florian Knöll +4 more

First‐Order Spatial Encoding Simulations for Improved Accuracy in the Presence of Strong B 0 and Gradient Field Variations

Magnetic Resonance in Medicine(2025)10.1002/mrm.70160
N/A
0DataRank · unranked
0 citations

Christopher M. Collins, M. E. Mallett, Axel vom Endt, Daniel K. Sodickson, Jakob Assländer +1 more

Deep Learning for Multi-Tissue Segmentation and Fully Automatic Personalized Biomechanical Models from BACPAC Clinical Lumbar Spine MRI

Pain Medicine(2022)10.1093/pm/pnac142
N/A
0DataRank · unranked
30 citations

Brett Allaire, Kenneth T. Gao, Radhika Tibrewala, Gaurav Inamdar, Upasana Bharadwaj +6 more

K2S Challenge: From Undersampled K-Space to Automatic Segmentation

Bioengineering(2023)10.3390/bioengineering10020267
N/A
0DataRank · unranked
22 citations

Upasana Bharadwaj, Kenneth T. Gao, Rupsa Bhattacharjee, Felix G. Gassert, Johanna Luitjens +18 more

Preliminary Experience with Three Alternative Motion Sensors for 0.55 Tesla MR Imaging

Sensors(2024)10.3390/s24123710
N/A
0DataRank · unranked
1 citations

Douglas Brantner, Ryan Brown, Leanna Pancoast, Mahesh Keerthivasan, Mary Bruno +5 more