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Heather Whitney

TitleResearch Assistant Professor
InstitutionUniversity of Chicago
DepartmentRadiology-Basic Sciences
AddressChicago IL 60637
Email
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    Collapse overview
    Heather M. Whitney, PhD is a research assistant professor in the Department of Radiology at the University of Chicago. Dr. Whitney received a Master of Science in Medical Physics from the Vanderbilt University School of Medicine and Master of Science and PhD in Physics from Vanderbilt University. While at Vanderbilt, she trained and conducted research at the Vanderbilt University Institute of Imaging Science with John Gore as her advisor, and additionally collaborated with faculty in the Department of Radiation Oncology. Before coming to the University of Chicago, she was a tenured professor of physics at a small liberal arts college, where she fostered an NIH-funded research program in medical physics in collaboration with faculty in Radiology at the University of Chicago.

    At the University of Chicago, she conducts research in computer-aided diagnosis of breast and ovarian cancer, focusing on the modalities of dynamic contrast-enhanced magnetic resonance imaging and ultrasound. Her primary areas of interest are in artificial intelligence and radiomics across the imaging and classification pipeline, from image acquisition to performance evaluation and data harmonization. She also conducts research and collaborates in MIDRC, the Medical Imaging and Data Resource Center. Within MIDRC she works on methods of task-based distributions, interoperability between data enclaves, and monitoring and studying the diversity and representativeness of the MIDRC data commons to foster research in AI and health disparities.

    Collapse Biography 
    Collapse education and training
    University of Chicago, Chicago, IL05/2024Clinical Medical Ethics Fellowship (starting July 2023)
    Vanderbilt University, Nashville, TNPhD2009Physics
    Vanderbilt University School of Medicine, Nashville, TNMS2007Medical Physics
    Vanderbilt University, Nashville, TNMS2006Physics
    King College, Bristol, TNBS2003Physics and Performing & Visual Arts
    Collapse awards and honors
    2022 - 2023Scialog Fellow in Advancing Bioimaging, Research Corporation
    2020Community Champion, SPIE
    2015Junior Faculty Achievement Award, Wheaton College
    2014Young Alumni Achievement Award, King University
    2013Sigma Pi Sigma, Physics Honors Society
    2003Natural Sciences and Mathematics Top Graduate Award, King College
    2002Arthur W. King Memorial Scholarship in Physics, King College
    2001Distinguished Scholar, Appalachian College Association

    Collapse Research 
    Collapse research activities and funding
    R15CA227948     (WHITNEY, HEATHER)Jan 16, 2019 - Dec 31, 2021
    NIH
    Assessment of Repeatability and Robustness of Radiomics in Breast Cancer Imaging
    Role: Principal Investigator

    Collapse Bibliographic 
    Collapse selected publications
    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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    PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
    1. Gichoya JW, Sá RC, Summers RM, Whitney H. Special Section Guest Editorial: Global Health, Bias, and Diversity in AI in Medical Imaging. J Med Imaging (Bellingham). 2023 Nov; 10(6):061101. PMID: 38213827; PMCID: PMC10781408.
      Citations:    
    2. Baughan N, Whitney HM, Drukker K, Sahiner B, Hu T, Kim GH, McNitt-Gray M, Myers KJ, Giger ML. Sequestration of imaging studies in MIDRC: stratified sampling to balance demographic characteristics of patients in a multi-institutional data commons. J Med Imaging (Bellingham). 2023 Nov; 10(6):064501. PMID: 38074627; PMCID: PMC10704184.
      Citations:    
    3. Li H, Drukker K, Hu Q, Whitney HM, Fuhrman JD, Giger ML. Predicting intensive care need for COVID-19 patients using deep learning on chest radiography. J Med Imaging (Bellingham). 2023 Jul; 10(4):044504. PMID: 37608852; PMCID: PMC10440543.
      Citations:    
    4. Whitney HM, Drukker K, Vieceli M, Van Dusen A, de Oliveira M, Abe H, Giger ML. Role of sureness in evaluating AI/CADx: Lesion-based repeatability of machine learning classification performance on breast MRI. Med Phys. 2023 Aug 21. PMID: 37602841; PMCID: PMC10879454.
      Citations:    Fields:    
    5. Whitney HM, Baughan N, Myers KJ, Drukker K, Gichoya J, Bower B, Chen W, Gruszauskas N, Kalpathy-Cramer J, Koyejo S, Sá RC, Sahiner B, Zhang Z, Giger ML. Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center open data commons. J Med Imaging (Bellingham). 2023 Nov; 10(6):61105. PMID: 37469387; PMCID: PMC10353566.
      Citations: 2     
    6. Drukker K, Chen W, Gichoya J, Gruszauskas N, Kalpathy-Cramer J, Koyejo S, Myers K, Sahiner B, Whitney H, Zhang Z, Giger M, Sá RC. Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment. J Med Imaging (Bellingham). 2023 Nov; 10(6):061104. PMID: 37125409; PMCID: PMC10129875.
      Citations: 7     
    7. Ji Y, Whitney HM, Li H, Liu P, Giger ML, Zhang X. Differences in Molecular Subtype Reference Standards Impact AI-based Breast Cancer Classification with Dynamic Contrast-enhanced MRI. Radiology. 2023 04; 307(1):e220984. PMID: 36594836; PMCID: PMC10068887.
      Citations: 2     Fields:    Translation:Humans
    8. Li H, Whitney HM, Ji Y, Edwards A, Papaioannou J, Liu P, Giger ML. Impact of continuous learning on diagnostic breast MRI AI: evaluation on an independent clinical dataset. J Med Imaging (Bellingham). 2022 May; 9(3):034502. PMID: 35685120; PMCID: PMC9168763.
      Citations:    
    9. Whitney HM, Drukker K, Giger ML. Performance metric curve analysis framework to assess impact of the decision variable threshold, disease prevalence, and dataset variability in two-class classification. J Med Imaging (Bellingham). 2022 May; 9(3):035502. PMID: 35656541; PMCID: PMC9152992.
      Citations: 1     
    10. Whitney HM, Li H, Ji Y, Liu P, Giger ML. Multi-Stage Harmonization for Robust AI across Breast MR Databases. Cancers (Basel). 2021 Sep 26; 13(19). PMID: 34638294; PMCID: PMC8508003.
      Citations: 5     
    11. Whitney HM, Drukker K, Edwards A, Papaioannou J, Medved M, Karczmar G, Giger ML. Robustness of radiomic features of benign breast lesions and hormone receptor positive/HER2-negative cancers across DCE-MR magnet strengths. Magn Reson Imaging. 2021 10; 82:111-121. PMID: 34174331; PMCID: PMC8386988.
      Citations:    Fields:    Translation:Humans
    12. Hu Q, Whitney HM, Li H, Ji Y, Liu P, Giger ML. Improved Classification of Benign and Malignant Breast Lesions Using Deep Feature Maximum Intensity Projection MRI in Breast Cancer Diagnosis Using Dynamic Contrast-enhanced MRI. Radiol Artif Intell. 2021 May; 3(3):e200159. PMID: 34235439; PMCID: PMC8231792.
      Citations: 13     
    13. Hu Q, Whitney HM, Giger ML. Radiomics methodology for breast cancer diagnosis using multiparametric magnetic resonance imaging. J Med Imaging (Bellingham). 2020 Jul; 7(4):044502. PMID: 32864390; PMCID: PMC7444714.
      Citations: 6     
    14. Hu Q, Whitney HM, Giger ML. A deep learning methodology for improved breast cancer diagnosis using multiparametric MRI. Sci Rep. 2020 06 29; 10(1):10536. PMID: 32601367; PMCID: PMC7324398.
      Citations: 39     Fields:    Translation:Humans
    15. Whitney HM, Li H, Ji Y, Liu P, Giger ML. Harmonization of radiomic features of breast lesions across international DCE-MRI datasets. J Med Imaging (Bellingham). 2020 Jan; 7(1):012707. PMID: 32206682; PMCID: PMC7056633.
      Citations: 19     
    16. Whitney HM, Li H, Ji Y, Liu P, Giger ML. Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Methods. Proc IEEE Inst Electr Electron Eng. 2020 Jan; 108(1):163-177. PMID: 34045769; PMCID: PMC8152568.
      Citations: 15     
    17. Whitney HM, Drukker K, Edwards A, Papaioannou J, Giger ML. Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers. J Med Imaging (Bellingham). 2019 Jul; 6(3):031408. PMID: 35834307; PMCID: PMC6378704.
      Citations: 2     
    18. Whitney HM, Taylor NS, Drukker K, Edwards AV, Papaioannou J, Schacht D, Giger ML. Additive Benefit of Radiomics Over Size Alone in the Distinction Between Benign Lesions and Luminal A Cancers on a Large Clinical Breast MRI Dataset. Acad Radiol. 2019 02; 26(2):202-209. PMID: 29754995; PMCID: PMC9392156.
      Citations: 23     Fields:    Translation:Humans
    19. Hunt BE, Flavin DC, Bauschatz E, Whitney HM. Accuracy and robustness of a simple algorithm to measure vessel diameter from B-mode ultrasound images. J Appl Physiol (1985). 2016 Jun 01; 120(11):1374-9. PMID: 27055985.
      Citations: 1     Fields:    Translation:Humans
    20. Whitney HM, Gochberg DF, Gore JC. Magnetization transfer proportion: a simplified measure of dose response for polymer gel dosimetry. Phys Med Biol. 2008 Dec 21; 53(24):7107-24. PMID: 19033644; PMCID: PMC2669836.
      Citations: 3     Fields:    Translation:Humans
    21. Luci JJ, Whitney HM, Gore JC. Optimization of MAGIC gel formulation for three-dimensional radiation therapy dosimetry. Phys Med Biol. 2007 May 21; 52(10):N241-8. PMID: 17473340; PMCID: PMC3919679.
      Citations: 3     Fields:    
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