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

Michael F. McNitt‐Gray

University of California, Los Angeles

ORCID: 0000-0003-3004-4613
MedicineEngineering

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 2%percentile
3.2Author 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.

Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets

Tomography(2020)10.18383/j.tom.2019.00031
Top 9%
2.4DataRank
Top 9%75 citations

Sandy Napel, Arjun Jaggi, Sarah A. Mattonen, Lubomir M. Hadjiiski, Mark Muzi +24 more

Papers

Driven by 14 papers — median percentile 56. Top paper: “Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets”.

Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets

Tomography(2020)10.18383/j.tom.2019.00031
Top 9%
2.4DataRank
Top 9%75 citations

Sandy Napel, Arjun Jaggi, Sarah A. Mattonen, Lubomir M. Hadjiiski, Mark Muzi +24 more

Evaluating Size‐Specific Dose Estimate (SSDE) as an estimate of organ doses from routine CT exams derived from Monte Carlo simulations

Medical Physics(2021)10.1002/mp.15128
N/A
0.500DataRank · unranked
27 citations

Maryam Bostani, Grace Hyun J. Kim, Christopher H. Cagnon, M. Zankl, Michael F. McNitt‐Gray +1 more

Multi‐scale, domain knowledge‐guided attention + random forest: a two‐stage deep learning‐based multi‐scale guided attention models to diagnose idiopathic pulmonary fibrosis from computed tomography images

Medical Physics(2022)10.1002/mp.16053
N/A
0.457DataRank · unranked
20 citations

Hua Zhou, Youngwon Choi, Jonathan Goldin, Pang-yu Teng, Weng Kee Wong +4 more

Sequestration of imaging studies in MIDRC: stratified sampling to balance demographic characteristics of patients in a multi-institutional data commons

Journal of Medical Imaging(2023)10.1117/1.jmi.10.6.064501
Top 45%
0.416DataRank
Top 45%15 citations

Heather M. Whitney, Karen Drukker, Berkman Sahiner, Tingting Hu, Grace Hyun J. Kim +4 more

MIDRC-MetricTree: a decision tree-based tool for recommending performance metrics in artificial intelligence-assisted medical image analysis

Journal of Medical Imaging(2024)10.1117/1.jmi.11.2.024504
Top 51%
0.347DataRank
Top 51%6 citations

Berkman Sahiner, Tingting Hu, Grace Hyun J. Kim, Heather M. Whitney, Natalie Baughan +4 more

Local linearity analysis of deep learning CT denoising algorithms

7th International Conference on Image Formation in X-Ray Computed Tomography(2022)10.1117/12.2646371
N/A
0.292DataRank · unranked
6 citations

Wenying Wang, Matthew Tivnan, Jeremias Sulam, Jerry L. Prince, Michael F. McNitt‐Gray +3 more

A comparison of breast and lung doses from chest CT scans using organ‐based tube current modulation (OBTCM) vs. Automatic tube current modulation (ATCM)

Journal of Applied Clinical Medical Physics(2021)10.1002/acm2.13198
N/A
0DataRank · unranked
13 citations

Anthony J. Hardy, Hyun J. Kim, Ei Ne Chou, Maryam Bostani, Chris H. Cagnon +3 more

An analysis of the regional heterogeneity in tissue elasticity in lung cancer patients with COPD

Frontiers in Medicine(2023)10.3389/fmed.2023.1151867
N/A
0DataRank · unranked
5 citations

Bradley Stiehl, Anand P. Santhanam, D O’Connell, Louise Naumann, Michael F. McNitt‐Gray +5 more

Assessing variability in non-contrast CT for the evaluation of stroke: the effect of CT image reconstruction conditions on AI-based CAD measurements of ASPECTS value and hypodense volume

PubMed(2024)10.1117/12.3006582
N/A
0DataRank · unranked
1 citations

Grace Hyun J. Kim, Anil Kumar Yadav, John M. Hoffman, Will Hsu, Matthew S. Brown +4 more

Evaluating the robustness of deep learning models trained to diagnose idiopathic pulmonary fibrosis using a retrospective study

Medical Physics(2025)10.1002/mp.17752
N/A
0DataRank · unranked
2 citations

Michael F. McNitt‐Gray, Jonathan Goldin, Jin Woo Song, Grace Hyun J. Kim, Wenxi Yu

Using a fully automated, quantitative fissure integrity score extracted from chest CT scans of emphysema patients to predict endobronchial valve response

Journal of Medical Imaging(2025)10.1117/1.jmi.12.2.024501
N/A
0DataRank · unranked
0 citations

Grace H. Kim, Jonathan Goldin, Pang-yu Teng, Kalyani Vyapari, Ashley Banola +4 more

Diagnosis and monitoring of systemic sclerosis-associated interstitial lung disease using high-resolution computed tomography

Journal of Scleroderma and Related Disorders(2022)10.1177/23971983211064463
N/A
0DataRank · unranked
37 citations

Oliver Distler, Vincent Cottin, Kevin M. Brown, Lorinda Chung, Jonathan Goldin +6 more

Recovery of GLRLM features in degraded images using deep learning and image property models

PubMed(2025)10.1117/12.3047257
N/A
0DataRank · unranked
0 citations

Huay Din, Grace Hyun J. Kim, Michael F. McNitt‐Gray, J. Webster Stayman, Grace J. Gang +1 more

Reproducibility in dual energy CT: the impact of a projection domain material decomposition method

7th International Conference on Image Formation in X-Ray Computed Tomography(2022)10.1117/12.2646523
N/A
0DataRank · unranked
2 citations

Frédéric Noo, Karl Stierstorfer, Andreas Maier, Michael F. McNitt‐Gray, Viktor Haase