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

Nikhil J. Dhinagar

University of Southern California

ORCID: 0000-0003-2424-4854
Computer ScienceMedicineNeuroscience

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 4%percentile
0.703Author 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.

Harnessing clinical annotations to improve deep learning performance in prostate segmentation

PLoS ONE(2021)10.1371/journal.pone.0253829
Top 36%
0.539DataRank
Top 36%10 citations

Alex G. Raman, Nikhil J. Dhinagar, Alan Priester, Stephanie A. Harmon, Thomas Sanford +7 more

Papers

Driven by 12 papers — median percentile 47. Top paper: “Harnessing clinical annotations to improve deep learning performance in prostate segmentation”.

Harnessing clinical annotations to improve deep learning performance in prostate segmentation

PLoS ONE(2021)10.1371/journal.pone.0253829
Top 36%
0.539DataRank
Top 36%10 citations

Alex G. Raman, Nikhil J. Dhinagar, Alan Priester, Stephanie A. Harmon, Thomas Sanford +7 more

A federated learning architecture for secure and private neuroimaging analysis

Patterns(2024)10.1016/j.patter.2024.101031
N/A
0.500DataRank · unranked
27 citations

Umang Gupta, Hamza Saleem, Nikhil J. Dhinagar, Tanmay Ghai, Chrysovalantis Anastasiou +7 more

Counterfactual MRI Generation with Denoising Diffusion Models for Interpretable Alzheimer’s Disease Effect Detection

10.1101/2024.02.05.578983
N/A
0.423DataRank · unranked
6 citations

Sophia I. Thomopoulos, Emily Laltoo, Paul M. Thompson, Nikhil J. Dhinagar

Along-Tract Statistical Mapping of Microstructural Abnormalities in Bipolar Disorder: A Pilot Study

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.03.07.531585
Top 70%
0.165DataRank
Top 70%2 citations

Bramsh Q. Chandio, Nikhil J. Dhinagar, Emily Laltoo, Genevieve McPhilemy, Fiona M. Martyn +5 more

UNSUPERVISED HARMONIZATION OF BRAIN MRI USING 3D CYCLE GANS AND ITS EFFECT ON BRAIN AGE PREDICTION

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.11.15.516349
N/A
0.104DataRank · unranked
1 citations

Umang Gupta, Tamoghna Chattopadhyay, Nikhil J. Dhinagar, Sophia I. Thomopoulos, Jiu‐Chiuan Chen +5 more

Curriculum Based Multi-Task Learning for Parkinson’s Disease Detection

PubMed(2023)10.1109/isbi53787.2023.10230355
N/A
0DataRank · unranked
5 citations

Conor Owens‐Walton, Emily Laltoo, Christina P. Boyle, Yao-Liang Chen, Philip Cook +7 more

Semi-automated PIRADS scoring via mpMRI analysis

Journal of Medical Imaging(2020)10.1117/1.jmi.7.6.064501
N/A
0DataRank · unranked
6 citations

William Speier, Karthik V. Sarma, Alex Raman, Adam Kinnaird, Steven S. Raman +3 more

Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models

arXiv (Cornell University)(2023)10.48550/arxiv.2303.01491
N/A
0DataRank · unranked
1 citations

Tamoghna Chattopadhyay, Nikhil J. Dhinagar, Paul M. Thompson, Greg Ver Steeg, The Alzheimer′s Disease Neuroimaging Initiative +1 more

Efficiently Training Vision Transformers on Structural MRI Scans for Alzheimer's Disease Detection

arXiv (Cornell University)(2023)10.48550/arxiv.2303.08216
N/A
0DataRank · unranked
1 citations

Sophia I. Thomopoulos, Emily Laltoo, Paul M. Thompson, Nikhil J. Dhinagar

Curriculum Based Multi-Task Learning for Parkinson's Disease Detection

arXiv (Cornell University)(2023)10.48550/arxiv.2302.13631
N/A
0DataRank · unranked
0 citations

Conor Owens‐Walton, Emily Laltoo, Christina P. Boyle, Yao-Liang Chen, Philip J. Cook +7 more

Efficiently Training Vision Transformers on Structural MRI Scans for Alzheimer’s Disease Detection

PubMed(2023)10.1109/embc40787.2023.10341190
N/A
0DataRank · unranked
38 citations

Sophia I. Thomopoulos, Emily Laltoo, Paul M. Thompson, Nikhil J. Dhinagar

Evaluation of Transfer Learning Methods for Detecting Alzheimer’s Disease with Brain MRI

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.08.23.505030
N/A
0DataRank · unranked
10 citations

Sophia I. Thomopoulos, Priya Rajagopalan, Dimitris Stripelis, José Luis Ambite, Greg Ver Steeg +2 more