Heather M. Whitney
Affiliations: | 2010-2022 | Physics | Wheaton College, Wheaton, IL, United States |
| 2022- | Radiology | University of Chicago, Chicago, IL |
Area:
MRI, radiomics, computer-aided diagnosisGoogle:
"Heather Whitney"Mean distance: 16.03
Parents
Sign in to add mentor| John C. Gore | grad student | 2004-2009 | Vanderbilt (Neurotree) | |
| (Studies of the design, use, and characteristics of methacrylic acid-based polymer gel dosimeters.) | ||||
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Publications
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| Whitney HM, Li H, Drukker K, et al. (2025) AI analysis of medical images at scale as a health disparities probe: a feasibility demonstration using chest radiographs. Arxiv |
| Armato SG, Drukker K, Hadjiiski L, et al. (2025) MIDRC mRALE Mastermind Grand Challenge: AI to predict COVID severity on chest radiographs. Journal of Medical Imaging (Bellingham, Wash.). 12: 024505 |
| Shenouda M, Whitney HM, Giger ML, et al. (2024) Impact of retraining and data partitions on the generalizability of a deep learning model in the task of COVID-19 classification on chest radiographs. Journal of Medical Imaging (Bellingham, Wash.). 11: 064503 |
| Whitney HM, Yoeli-Bik R, Abramowicz JS, et al. (2024) AI-based automated segmentation for ovarian/adnexal masses and their internal components on ultrasound imaging. Journal of Medical Imaging (Bellingham, Wash.). 11: 044505 |
| Drukker K, Sahiner B, Hu T, et al. (2024) MIDRC-MetricTree: a decision tree-based tool for recommending performance metrics in artificial intelligence-assisted medical image analysis. Journal of Medical Imaging (Bellingham, Wash.). 11: 024504 |
| Baughan N, Whitney HM, Drukker K, et al. (2023) Sequestration of imaging studies in MIDRC: stratified sampling to balance demographic characteristics of patients in a multi-institutional data commons. Journal of Medical Imaging (Bellingham, Wash.). 10: 064501 |
| Li H, Drukker K, Hu Q, et al. (2023) Predicting intensive care need for COVID-19 patients using deep learning on chest radiography. Journal of Medical Imaging (Bellingham, Wash.). 10: 044504 |
| Whitney HM, Drukker K, Vieceli M, et al. (2023) Role of sureness in evaluating AI/CADx: Lesion-based repeatability of machine learning classification performance on breast MRI. Medical Physics |
| Whitney HM, Baughan N, Myers KJ, et al. (2023) Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center open data commons. Journal of Medical Imaging (Bellingham, Wash.). 10: 61105 |
| Drukker K, Chen W, Gichoya J, et al. (2023) 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 (Bellingham, Wash.). 10: 061104 |