Heather M Whitney (Heather Whitney)

ORCID

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Venues

Journal of medical imaging (Bellingham, Wash.)

Radiology

Cancers

Radiology. Artificial intelligence

University of Chicago

This page only lists publications with an associated author ORCID identifier.

Affiliation History

University of Chicago Jun 01 2017

United States

Visiting Scholar :: Radiology

Wheaton College Jul 01 2010

United States

Associate Professor of Physics :: Physics

Publications

Heather M Whitney, Roni Yoeli-Bik, Jacques S Abramowicz, Li Lan, Hui Li, Ryan E Longman, Ernst Lengyel, Maryellen L Giger
AI-based automated segmentation for ovarian/adnexal masses and their internal components on ultrasound imaging. Journal of medical imaging (Bellingham, Wash.) 11 (4) (2024)
Heather M Whitney, Roni Yoeli-Bik, Jacques S Abramowicz, Li Lan, Hui Li, Ryan E Longman, Ernst Lengyel, Maryellen L Giger
AI-based automated segmentation for ovarian/adnexal masses and their internal components on ultrasound imaging. Journal of medical imaging (Bellingham, Wash.) 11 (4) (2024)
Heather M Whitney, Roni Yoeli-Bik, Jacques S Abramowicz, Li Lan, Hui Li, Ryan E Longman, Ernst Lengyel, Maryellen L Giger
AI-based automated segmentation for ovarian/adnexal masses and their internal components on ultrasound imaging. Journal of medical imaging (Bellingham, Wash.) 11 (4) (2024)
Kenny H Cha, Berkman Sahiner, Tingting Hu, Grace Hyun J Kim, Heather M Whitney, Natalie Baughan, Kyle J Myers, Maryellen L Giger, Michael F McNitt-Gray
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 (2) (2024)
Kenny H Cha, Berkman Sahiner, Tingting Hu, Grace Hyun J Kim, Heather M Whitney, Natalie Baughan, Kyle J Myers, Maryellen L Giger, Michael F McNitt-Gray
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 (2) (2024)
Heather M Whitney, Natalie Baughan, Kyle J Myers, Kenny H Cha, Judy Wawira Gichoya, Brad Bower, Weijie Chen, Nicholas Gruszauskas, Jayashree Kalpathy-Cramer, Oluwasanmi O Koyejo, Rui Carlos Sá, Berkman Sahiner, Zi Zhang, Maryellen L Giger
Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center open data commons. Journal of medical imaging (Bellingham, Wash.) 10 (6) (2023)
Yu Ji, Heather M Whitney, Hui Li, Peifang Liu, Maryellen L Giger, Xuening Zhang
Differences in Molecular Subtype Reference Standards Impact AI-based Breast Cancer Classification with Dynamic Contrast-enhanced MRI. Radiology (2023)
Kenny H Cha, Weijie Chen, Judy Wawira Gichoya, Nicholas Gruszauskas, Jayashree Kalpathy-Cramer, Sanmi Koyejo, Kyle J Myers, Rui Carlos Sá, Berkman Sahiner, Heather M Whitney, Zi Zhang, Maryellen L Giger
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 (6) (2023)
Yu Ji, Heather M Whitney, Hui Li, Peifang Liu, Maryellen L Giger, Xuening Zhang
Differences in Molecular Subtype Reference Standards Impact AI-based Breast Cancer Classification with Dynamic Contrast-enhanced MRI. Radiology (2023)
Natalie Baughan, Heather M Whitney, Kenny H Cha, Berkman Sahiner, Tingting Hu, Grace Hyun Kim, Michael F McNitt-Gray, Kyle J Myers, Maryellen L Giger
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 (6) (2023)
Hui Li, Kenny H Cha, Qiyuan Hu, Heather M Whitney, Jordan D Fuhrman, Maryellen L Giger
Predicting intensive care need for COVID-19 patients using deep learning on chest radiography. Journal of medical imaging (Bellingham, Wash.) 10 (4) (2023)
Yu Ji, Heather M Whitney, Hui Li, Peifang Liu, Maryellen L Giger, Xuening Zhang
Differences in Molecular Subtype Reference Standards Impact AI-based Breast Cancer Classification with Dynamic Contrast-enhanced MRI. Radiology (2023)
Kenny H Cha, Weijie Chen, Judy Wawira Gichoya, Nicholas Gruszauskas, Jayashree Kalpathy-Cramer, Sanmi Koyejo, Kyle J Myers, Rui Carlos Sá, Berkman Sahiner, Heather M Whitney, Zi Zhang, Maryellen L Giger
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 (6) (2023)
Hui Li, Heather M Whitney, Yu Ji, Alexandra Edwards, John Papaioannou, Peifang Liu, Maryellen L Giger
Impact of continuous learning on diagnostic breast MRI AI: evaluation on an independent clinical dataset. Journal of medical imaging (Bellingham, Wash.) 9 (3) (2022)
Heather M Whitney, Kenny H Cha, Maryellen L Giger
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 (3) (2022)
Heather M Whitney, Hui Li, Yu Ji, Peifang Liu, Maryellen L Giger
Multi-Stage Harmonization for Robust AI across Breast MR Databases. Cancers 13 (19) (2021)
Qiyuan Hu, Heather M Whitney, Hui Li, Yu Ji, Peifang Liu, Maryellen L Giger
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 (3) (2021)
Heather M Whitney, Hui Li, Yu Ji, Peifang Liu, Maryellen L Giger
Harmonization of radiomic features of breast lesions across international DCE-MRI datasets. Journal of medical imaging (Bellingham, Wash.) 7 (1) (2020)
Qiyuan Hu, Heather M Whitney, Maryellen L Giger
Radiomics methodology for breast cancer diagnosis using multiparametric magnetic resonance imaging. Journal of medical imaging (Bellingham, Wash.) 7 (4) (2020)
Heather M Whitney, Hui Li, Yu Ji, Peifang Liu, Maryellen L Giger
Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Methods. Proceedings of the IEEE. Institute of Electrical and Electronics Engineers 108 (1) (2019)
Heather M Whitney, Kenny H Cha, Alexandra Edwards, John Papaioannou, Maryellen L Giger
Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers. Journal of medical imaging (Bellingham, Wash.) 6 (3) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Heather M Whitney (Heather Whitney)