 Heather Whitney
| Title | Research Assistant Professor |
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| Institution | University of Chicago |
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| Department | Radiology-Basic Sciences |
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| Address | Chicago IL 60637
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| vCard | Download vCard |
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 Bibliographic
Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
This graph shows the total number of publications by year, by first, middle/unknown, or last author.
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| Year | Publications |
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| 2007 | 1 | | 2008 | 1 | | 2016 | 1 | | 2018 | 1 | | 2019 | 2 | | 2020 | 3 | | 2021 | 3 | | 2022 | 2 |
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