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

Frank J. Brooks

University of Illinois Urbana-Champaign

ORCID: 0000-0002-5949-3386
Computer ScienceMedicineBiochemistry, Genetics and Molecular Biology

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 5%percentile
0.455Author 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.

Report on the AAPM grand challenge on deep generative modeling for learning medical image statistics

Medical Physics(2024)10.1002/mp.17473
Top 42%
0.455DataRank
Top 42%9 citations

Varun A. Kelkar, Dimitrios S. Gotsis, Prabhat KC, Rongping Zeng, Kyle J. Myers +3 more

Papers

Driven by 13 papers — median percentile 58. Top paper: “Report on the AAPM grand challenge on deep generative modeling for learning medical image statistics”.

Report on the AAPM grand challenge on deep generative modeling for learning medical image statistics

Medical Physics(2024)10.1002/mp.17473
Top 42%
0.455DataRank
Top 42%9 citations

Varun A. Kelkar, Dimitrios S. Gotsis, Prabhat KC, Rongping Zeng, Kyle J. Myers +3 more

On Hallucinations in Tomographic Image Reconstruction

IEEE Transactions on Medical Imaging(2021)10.1109/tmi.2021.3077857
N/A
0DataRank · unranked
8 citations

Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio, Sayantan Bhadra

Advancing the AmbientGAN for learning stochastic object models

arXiv (Cornell University)(2021)10.48550/arxiv.2102.00281
N/A
0DataRank · unranked
1 citations

Sayantan Bhadra, Frank J. Brooks, Jason Granstedt, Hua Li, Mark A. Anastasio +1 more

A Method for Evaluating Deep Generative Models of Images via Assessing the Reproduction of High-order Spatial Context

arXiv (Cornell University)(2021)10.48550/arxiv.2111.12577
N/A
0DataRank · unranked
0 citations

Mark A. Anastasio, Frank J. Brooks, R. Deshpande

Normalization of optical fluence distribution for three-dimensional functional optoacoustic tomography of the breast

Journal of Biomedical Optics(2022)10.1117/1.jbo.27.3.036001
N/A
0DataRank · unranked
18 citations

Frank J. Brooks, Umberto Villa, Richard Su, Mark A. Anastasio, Alexander A. Oraevsky +1 more

Learning stochastic object models from medical imaging measurements by use of advanced ambient generative adversarial networks

Journal of Medical Imaging(2022)10.1117/1.jmi.9.1.015503
N/A
0DataRank · unranked
14 citations

Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio, Weimin Zhou

Assessing the Ability of Generative Adversarial Networks to Learn Canonical Medical Image Statistics

IEEE Transactions on Medical Imaging(2023)10.1109/tmi.2023.3241454
N/A
0DataRank · unranked
38 citations

Dimitrios S. Gotsis, Frank J. Brooks, Prabhat KC, Kyle J. Myers, Rongping Zeng +2 more

Investigating the robustness of a deep learning-based method for quantitative phase retrieval from propagation-based x-ray phase contrast measurements under laboratory conditions

Physics in Medicine and Biology(2023)10.1088/1361-6560/acc2aa
N/A
0DataRank · unranked
6 citations

Ashish Avachat, Frank J. Brooks, Mark A. Anastasio, Rucha Deshpande

Assessing the Capacity of a Denoising Diffusion Probabilistic Model to Reproduce Spatial Context

IEEE Transactions on Medical Imaging(2024)10.1109/tmi.2024.3414931
N/A
0DataRank · unranked
13 citations

Muzaffer Özbey, Hua Li, Mark A. Anastasio, Frank J. Brooks, Rucha Deshpande

A method for evaluating deep generative models of images for hallucinations in high-order spatial context

Pattern Recognition Letters(2024)10.1016/j.patrec.2024.08.023
N/A
0DataRank · unranked
3 citations

Mark A. Anastasio, Frank J. Brooks, Rucha Deshpande

In vivo volumetric visualization and quantification of cumulus expansion in mice with intravital optical coherence tomography

Biomedical Optics Express(2025)10.1364/boe.580418
N/A
0DataRank · unranked
1 citations

Frank J. Brooks, Irina V. Larina, Kohei Umezu

Progressively-Growing AmbientGANs For Learning Stochastic Object Models From Imaging Measurements

arXiv (Cornell University)(2020)10.48550/arxiv.2001.09523
N/A
0DataRank · unranked
1 citations

Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio, Weimin Zhou

On the utility of virtual staining for downstream applications as it relates to task network capacity

Biomedical Optics Express(2025)10.1364/boe.576061
N/A
0DataRank · unranked
0 citations

Jianquan Xu, Phuong Nguyen, Frank J. Brooks, Yang Liu, Mark A. Anastasio +1 more