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

Mahesh Keerthivasan

New York University

ORCID: 0000-0002-7841-9333
MedicinePhysics and Astronomy

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
1.1Author DataRank

Indexed papers

1in 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 1 indexed paper 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.

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

Papers

Driven by 18 papers — median percentile 81. Top paper: “FastMRI Prostate: A public, biparametric MRI dataset to advance machine learning for prostate cancer imaging”.

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

A multi-scale residual network for accelerated radial MR parameter mapping

Magnetic Resonance Imaging(2020)10.1016/j.mri.2020.08.013
N/A
0DataRank · unranked
18 citations

Sagar Mandava, Mahesh Keerthivasan, Zhitao Li, Kevin M. Johnson, Diego R. Martín +3 more

Deep Learning Reconstruction Enables Highly Accelerated Biparametric MR Imaging of the Prostate

Journal of Magnetic Resonance Imaging(2021)10.1002/jmri.28024
N/A
0DataRank · unranked
70 citations

Angela Tong, Awani Donthireddy, Kira Melamud, Robert Petrocelli, Paul Smereka +5 more

Convolutional Neural Network Based Frameworks for Fast Automatic Segmentation of Thalamic Nuclei from Native and Synthesized Contrast Structural MRI

Neuroinformatics(2021)10.1007/s12021-021-09544-5
N/A
0DataRank · unranked
20 citations

Mahesh Keerthivasan, Natalie M. Zahr, Ali Bilgin, Manojkumar Saranathan, Lavanya Umapathy

A Stacked Generalization of 3D Orthogonal Deep Learning Convolutional Neural Networks for Improved Detection of White Matter Hyperintensities in 3D FLAIR Images

American Journal of Neuroradiology(2021)10.3174/ajnr.a6970
N/A
0DataRank · unranked
11 citations

G.G. Perez-Carrillo, Mahesh Keerthivasan, José A. Rosado-Toro, María I. Altbach, Blair A. Winegar +4 more

Rapid high-resolution volumetric T1 mapping using a highly accelerated stack-of-stars Look Locker technique

Magnetic Resonance Imaging(2021)10.1016/j.mri.2021.03.003
N/A
0DataRank · unranked
11 citations

Zhiyang Fu, Mahesh Keerthivasan, Ali Bilgin, Kevin M. Johnson, Jean‐Philippe Galons +4 more

Feasibility of Accelerated Prostate Diffusion-Weighted Imaging on 0.55 T MRI Enabled With Random Matrix Theory Denoising

Investigative Radiology(2023)10.1097/rli.0000000000000979
N/A
0DataRank · unranked
13 citations

Hersh Chandarana, Mary Bruno, Luke Ginocchio, Chenchan Huang, Angela Tong +4 more

Optimizing variable flip angles in magnetization‐prepared gradient‐echo sequences for efficient 3D‐T1ρ mapping

Magnetic Resonance in Medicine(2023)10.1002/mrm.29740
N/A
0DataRank · unranked
8 citations

Hector Lise de Moura, Mahesh Keerthivasan, Ravinder R. Regatte, Marcelo V. W. Zibetti

Universal Sampling Denoising (USD) for noise mapping and noise removal of non-Cartesian MRI

PubMed(2023)10.48550/arxiv.2311.16316
N/A
0DataRank · unranked
1 citations

Mahesh Keerthivasan, Gregory Lemberskiy, Jiangyang Zhang, Els Fieremans, Dmitry S. Novikov +1 more

MR electrical properties mapping using vision transformers and canny edge detectors

Magnetic Resonance in Medicine(2024)10.1002/mrm.30338
N/A
0DataRank · unranked
8 citations

Giuseppe Carluccio, Mahesh Keerthivasan, Gregor Koerzdoerfer, Karthik Lakshmanan, Hector Lise de Moura +3 more

Feasibility of 3D MRI fingerprinting for rapid knee cartilage T1, T2, and T1ρ mapping at 0.55T: Comparison with 3T

NMR in Biomedicine(2024)10.1002/nbm.5250
N/A
0DataRank · unranked
4 citations

Anmol Monga, Xiaoxia Zhang, Marcelo V. W. Zibetti, Mahesh Keerthivasan, Ravinder R. Regatte +1 more

Quantitative Characterization of Respiratory Patterns on Dynamic Higher Temporal Resolution MRI to Stratify Postacute Covid‐19 Patients by Cardiopulmonary Symptom Burden

Journal of Magnetic Resonance Imaging(2024)10.1002/jmri.29352
N/A
0DataRank · unranked
5 citations

Henry Rusinek, Artem Mikheev, Nicholas Landini, Mahesh Keerthivasan, Christoph Maier +6 more

Performance of MR learned pulse sequences for 3D bi‐exponential, stretched‐exponential, and mono‐exponential T2 and T1ρ mapping of knee cartilage

Magnetic Resonance in Medicine(2024)10.1002/mrm.30303
N/A
0DataRank · unranked
2 citations

Hector Lise de Moura, Anmol Monga, Mahesh Keerthivasan, Ravinder R. Regatte, Marcelo V. W. Zibetti

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

Optimized MR pulse sequence for high‐resolution brain 3D ‐T1ρ mapping with weighted spin‐lock acquisitions

Magnetic Resonance in Medicine(2024)10.1002/mrm.30412
N/A
0DataRank · unranked
1 citations

Rajiv Menon, Hector Lise de Moura, Mahesh Keerthivasan, Ravinder R. Regatte, Marcelo V. W. Zibetti

Feasibility of a UTE Stack‐of‐Spirals Sequence for Biexponential T1ρ Mapping of Whole Knee Joint

NMR in Biomedicine(2025)10.1002/nbm.70008
N/A
0DataRank · unranked
5 citations

Mahesh Keerthivasan, Marcelo V. W. Zibetti, Pan Su, Erin F. Alaia, Ravinder R. Regatte +1 more

Automated thalamic nuclei segmentation using multi-planar cascaded convolutional neural networks

Magnetic Resonance Imaging(2020)10.1016/j.mri.2020.08.005
N/A
0DataRank · unranked
15 citations

Mahesh Keerthivasan, Brian K. Rutt, Natalie M. Zahr, Jeffrey J. Rodrı́guez, Manojkumar Saranathan +1 more

Diagnosing abdominal neoplasms using a T2 mapping radial turbo spin-echo technique with partial volume correction

European Radiology(2025)10.1007/s00330-025-11931-4
N/A
0DataRank · unranked
1 citations

Brian Toner, Jean‐Philippe Galons, Kevin M. Johnson, Ali Bilgin, Diego R. Martín +2 more