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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| 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 |
| Ji Y, Whitney HM, Li H, et al. (2023) Differences in Molecular Subtype Reference Standards Impact AI-based Breast Cancer Classification with Dynamic Contrast-enhanced MRI. Radiology. 220984 |
| Li H, Whitney HM, Ji Y, et al. (2022) Impact of continuous learning on diagnostic breast MRI AI: evaluation on an independent clinical dataset. Journal of Medical Imaging (Bellingham, Wash.). 9: 034502 |
| Whitney HM, Drukker K, Giger ML. (2022) 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 (Bellingham, Wash.). 9: 035502 |
| Whitney HM, Li H, Ji Y, et al. (2021) Multi-Stage Harmonization for Robust AI across Breast MR Databases. Cancers. 13 |
| Hu Q, Whitney HM, Li H, et al. (2021) 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. 3: e200159 |