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

Zuhayr Asad

Vanderbilt University

ORCID: 0000-0002-2401-5026
Computer ScienceMedicine

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 7%percentile
0.104Author 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.

Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning

The Journal of Machine Learning for Biomedical Imaging(2022)10.59275/j.melba.2022-5aa9
Top 78%
0.104DataRank
Top 78%1 citations

Chang Qu, Jun Long, Quan Liu, Ruining Deng, Yuanhan Tian +11 more

Papers

Driven by 8 papers — median percentile 22. Top paper: “Robust fiber orientation distribution function estimation using deep constrained spherical deconvolution for diffusion-weighted magnetic resonance imaging”.

Robust fiber orientation distribution function estimation using deep constrained spherical deconvolution for diffusion-weighted magnetic resonance imaging

Journal of Medical Imaging(2024)10.1117/1.jmi.11.1.014005
N/A
0.360DataRank · unranked
10 citations

François Rheault, Leon Y. Cai, Vishwesh Nath, Zuhayr Asad, Nancy R. Newlin +9 more

Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning

The Journal of Machine Learning for Biomedical Imaging(2022)10.59275/j.melba.2022-5aa9
Top 78%
0.104DataRank
Top 78%1 citations

Chang Qu, Jun Long, Quan Liu, Ruining Deng, Yuanhan Tian +11 more

Digital Modeling on Large Kernel Metamaterial Neural Network

Journal of Imaging Science and Technology(2023)10.2352/j.imagingsci.technol.2023.67.6.060404
N/A
0DataRank · unranked
7 citations

Hanyu Zheng, Brandon T. Swartz, Ho Hin Lee, Zuhayr Asad, Ivan I. Kravchenko +3 more

Deep constrained spherical deconvolution for robust harmonization

PubMed(2023)10.1117/12.2654398
N/A
0DataRank · unranked
6 citations

François Rheault, Leon Y. Cai, Vishwesh Nath, Zuhayr Asad, Nancy R. Newlin +7 more

Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-Empowered Learning

Lecture notes in computer science(2023)10.1007/978-3-031-43987-2_48
N/A
0DataRank · unranked
6 citations

Yanwei Li, Peize Li, Jiacheng Wang, Lucas W. Remedios, Saydolimkhon Agzamkhodjaev +9 more

Robust Fiber Orientation Distribution Function Estimation Using Deep Constrained Spherical Deconvolution for Diffusion MRI

arXiv (Cornell University)(2023)10.48550/arxiv.2306.02900
N/A
0DataRank · unranked
2 citations

François Rheault, Leon Y. Cai, Vishwesh Nath, Zuhayr Asad, Nancy R. Newlin +9 more

Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning

arXiv (Cornell University)(2023)10.48550/arxiv.2306.00047
N/A
0DataRank · unranked
0 citations

Yanwei Li, Peize Li, Jiacheng Wang, Lucas W. Remedios, Saydolimkhon Agzamkhodjaev +9 more

Omni-Seg: A Scale-Aware Dynamic Network for Renal Pathological Image Segmentation

IEEE Transactions on Biomedical Engineering(2023)10.1109/tbme.2023.3260739
N/A
0DataRank · unranked
38 citations

Quan Liu, Can Cui, Tianyuan Yao, Jun Long, Zuhayr Asad +7 more