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

Berkman Sahiner

United States Food and Drug Administration

ORCID: 0000-0003-2804-2264

Also affiliated with Center for Devices and Radiological Health

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 3%percentile
1.5Author DataRank

Indexed papers

4in 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 4 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.

Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center open data commons

Journal of Medical Imaging(2023)10.1117/1.jmi.10.6.061105
Top 32%
0.610DataRank
Top 32%9 citations

Natalie Baughan, Kyle J. Myers, Karen Drukker, Judy Wawira Gichoya, Brad Bower +9 more

Papers

Driven by 12 papers — median percentile 52. Top paper: “Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment”.

Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment

Journal of Medical Imaging(2023)10.1117/1.jmi.10.6.061104
N/A
0.736DataRank · unranked
134 citations

Weijie Chen, Judy Wawira Gichoya, Nicholas P. Gruszauskas, Jayashree Kalpathy–Cramer, Oluwasanmi Koyejo +7 more

Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center open data commons

Journal of Medical Imaging(2023)10.1117/1.jmi.10.6.061105
Top 32%
0.610DataRank
Top 32%9 citations

Natalie Baughan, Kyle J. Myers, Karen Drukker, Judy Wawira Gichoya, Brad Bower +9 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

Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center Open Data Commons

arXiv (Cornell University)(2023)10.48550/arxiv.2303.10501
Top 78%
0.104DataRank
Top 78%1 citations

Natalie Baughan, Kyle J. Myers, Karen Drukker, Judy Wawira Gichoya, Brad Bower +9 more

Bias Amplification to Facilitate the Systematic Evaluation of Bias Mitigation Methods

IEEE Journal of Biomedical and Health Informatics(2024)10.1109/jbhi.2024.3491946
N/A
0DataRank · unranked
1 citations

Yuhang Zhang, Nicholas Petrick, Berkman Sahiner, H. Kenny, Ravi K. Samala +1 more

Test Data Reuse for the Evaluation of Continuously Evolving Classification Algorithms Using the Area under the Receiver Operating Characteristic Curve

SIAM Journal on Mathematics of Data Science(2021)10.1137/20m1333110
N/A
0DataRank · unranked
9 citations

Aria Pezeshk, Yuping Wang, Berkman Sahiner, Alexej Gossmann

Resource requirements to accelerate clinical applications of next-generation sequencing and radiomics: workshop commentary and review

JNCI Journal of the National Cancer Institute(2024)10.1093/jnci/djae136
N/A
0DataRank · unranked
1 citations

Lalitha Shankar, Claire Hildebrandt, Wendy S. Rubinstein, Kristofor K. Langlais, Henry Rodriguez +9 more

Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing

BJR|Artificial Intelligence(2024)10.1093/bjrai/ubae003
N/A
0DataRank · unranked
38 citations

Amita Shukla‐Dave, Heang‐Ping Chan, Karen Drukker, Ravi K. Samala, Quan Chen +20 more

AI and machine learning in medical imaging: key points from development to translation

BJR|Artificial Intelligence(2024)10.1093/bjrai/ubae006
N/A
0DataRank · unranked
26 citations

Karen Drukker, Amita Shukla‐Dave, Heang‐Ping Chan, Berkman Sahiner, Nicholas Petrick +19 more

Applying queueing theory to evaluate wait-time-savings of triage algorithms

Queueing Systems(2024)10.1007/s11134-024-09927-w
N/A
0DataRank · unranked
7 citations

Gary M. Levine, Weijie Chen, Berkman Sahiner, Qin Li, Nicholas Petrick +5 more

Decision region analysis for generalizability of artificial intelligence models: estimating model generalizability in the case of cross-reactivity and population shift

Journal of Medical Imaging(2024)10.1117/1.jmi.11.1.014501
N/A
0DataRank · unranked
5 citations

Berkman Sahiner, Nicholas Petrick, Gene Pennello, Kenny H. Cha, Ravi K. Samala +1 more