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

Heather M. Whitney

University of Chicago

ORCID: 0000-0002-7258-1102

Also affiliated with University of Chicago Medical Center

MedicineComputer Science

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
3.4Author 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.

Improved Classification of Benign and Malignant Breast Lesions Using Deep Feature Maximum Intensity Projection MRI in Breast Cancer Diagnosis Using Dynamic Contrast-enhanced MRI

Radiology Artificial Intelligence(2021)10.1148/ryai.2021200159
Top 10%
2.1DataRank
Top 10%57 citations

Heather M. Whitney, Hui Li, Yu Ji, Peifang Liu, Maryellen L. Giger +1 more

Papers

Driven by 18 papers — median percentile 58. Top paper: “Improved Classification of Benign and Malignant Breast Lesions Using Deep Feature Maximum Intensity Projection MRI in Breast Cancer Diagnosis Using Dynamic Contrast-enhanced MRI”.

Improved Classification of Benign and Malignant Breast Lesions Using Deep Feature Maximum Intensity Projection MRI in Breast Cancer Diagnosis Using Dynamic Contrast-enhanced MRI

Radiology Artificial Intelligence(2021)10.1148/ryai.2021200159
Top 10%
2.1DataRank
Top 10%57 citations

Heather M. Whitney, Hui Li, Yu Ji, Peifang Liu, Maryellen L. Giger +1 more

Impact of continuous learning on diagnostic breast MRI AI: evaluation on an independent clinical dataset

Journal of Medical Imaging(2022)10.1117/1.jmi.9.3.034502
Top 40%
0.481DataRank
Top 40%8 citations

Heather M. Whitney, Yu Ji, Alexandra Edwards, John Papaioannou, Peifang Liu +2 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

Robustness of radiomic features of benign breast lesions and hormone receptor positive/HER2-negative cancers across DCE-MR magnet strengths

Magnetic Resonance Imaging(2021)10.1016/j.mri.2021.06.021
N/A
0DataRank · unranked
6 citations

Karen Drukker, Alexandra Edwards, John Papaioannou, Milica Medved, Gregory S. Karczmar +2 more

Performance metric curve analysis framework to assess impact of the decision variable threshold, disease prevalence, and dataset variability in two-class classification

Journal of Medical Imaging(2022)10.1117/1.jmi.9.3.035502
N/A
0DataRank · unranked
5 citations

Karen Drukker, Maryellen L. Giger, Heather M. Whitney

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
0DataRank · unranked
133 citations

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

Differences in Molecular Subtype Reference Standards Impact AI-based Breast Cancer Classification with Dynamic Contrast-enhanced MRI

Radiology(2023)10.1148/radiol.220984
N/A
0DataRank · unranked
23 citations

Heather M. Whitney, Hui Li, Peifang Liu, Maryellen L. Giger, Xuening Zhang +1 more

Predicting intensive care need for COVID-19 patients using deep learning on chest radiography

Journal of Medical Imaging(2023)10.1117/1.jmi.10.4.044504
N/A
0DataRank · unranked
11 citations

Karen Drukker, Qiyuan Hu, Heather M. Whitney, Jordan Fuhrman, Maryellen L. Giger +1 more

Role of sureness in evaluating AI/CADx: Lesion‐based repeatability of machine learning classification performance on breast MRI

Medical Physics(2023)10.1002/mp.16673
N/A
0DataRank · unranked
4 citations

Karen Drukker, Michael Vieceli, Amy Van Dusen, Michelle de Oliveira, Hiroyuki Abé +2 more

AI-based automated segmentation for ovarian/adnexal masses and their internal components on ultrasound imaging

Journal of Medical Imaging(2024)10.1117/1.jmi.11.4.044505
N/A
0DataRank · unranked
9 citations

Roni Yoeli‐Bik, Jacques S. Abramowicz, Lan Li, Hui Li, Ryan E. Longman +3 more

Special Section Guest Editorial: Global Health, Bias, and Diversity in AI in Medical Imaging

Journal of Medical Imaging(2024)10.1117/1.jmi.10.6.061101
N/A
0DataRank · unranked
0 citations

Rui Carlos Sá, Ronald M. Summers, Heather M. Whitney, Judy Wawira Gichoya

Hybrid artificial intelligence echogenic components‐based diagnosis of adnexal masses on ultrasound

Medical Physics(2025)10.1002/mp.17983
N/A
0DataRank · unranked
1 citations

Heather M. Whitney, Hui Li, Agnes Julia Bilecz, Jacques S. Abramowicz, Lan Li +4 more

A deep learning methodology for improved breast cancer diagnosis using multiparametric MRI

Scientific Reports(2020)10.1038/s41598-020-67441-4
N/A
0DataRank · unranked
180 citations

Heather M. Whitney, Maryellen L. Giger, Qiyuan Hu

Demonstration of Interoperability Between MIDRC and N3C: A COVID-19 Severity Prediction Use Case

Journal of Imaging Informatics in Medicine(2025)10.1007/s10278-025-01605-4
N/A
0DataRank · unranked
0 citations

Rachel Baccile, Hui Li, Karen Drukker, Christopher Meyer, Nicholas P. Gruszauskas +95 more

Harmonization of radiomic features of breast lesions across international DCE-MRI datasets

Journal of Medical Imaging(2020)10.1117/1.jmi.7.1.012707
N/A
0DataRank · unranked
41 citations

Hui Li, Yu Ji, Peifang Liu, Maryellen L. Giger, Heather M. Whitney

Radiomics methodology for breast cancer diagnosis using multiparametric magnetic resonance imaging

Journal of Medical Imaging(2020)10.1117/1.jmi.7.4.044502
N/A
0DataRank · unranked
32 citations

Heather M. Whitney, Maryellen L. Giger, Qiyuan Hu

Multi-Stage Harmonization for Robust AI across Breast MR Databases

Cancers(2021)10.3390/cancers13194809
N/A
0DataRank · unranked
8 citations

Hui Li, Yu Ji, Peifang Liu, Maryellen L. Giger, Heather M. Whitney