Heather M. Whitney

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 17

Top Topics

Magnetic Resonance

Machine Learning

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

Publications

Heather M. Whitney, Hui Li, Karen Drukker, Michael Reeve, Maryellen L. Giger
Investigation of demographic implicit discrimination and disparate impact in chest radiography image-based AI for COVID-19 severity prediction. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Karen Drukker, Berkman Sahiner, Tingting Hu, Hyun J. Grace Kim, Heather M. Whitney, Natalie M. Baughan, Kyle J. Myers, Maryellen L. Giger, Michael F. McNitt-Gray
Assistance tools for the evaluation of machine learning algorithm performance: the decision tree-based tools developed by the Medical Imaging and Data Resource Center (MIDRC) Technology Development Project (TDP) 3c effort. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Natalie M. Baughan, Heather M. Whitney, Karen Drukker, Berkman Sahiner, Tingting Hu, Hyun J. Grace Kim, Michael F. McNitt-Gray, Kyle J. Myers, Maryellen L. Giger
Sequestration of imaging studies in MIDRC: a multi-institutional data commons. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Heather M. Whitney, Karen Drukker, Hiroyuki Abe, Maryellen L. Giger
Case-based repeatability and operating point variability of AI: breast lesion classification based on deep transfer learning. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Heather M. Whitney, Yu Ji, Hui Li, Peifang Liu, Maryellen L. Giger
Effect of different molecular subtype reference standards in AI training: implications for DCE-MRI radiomics of breast cancers. Medical Imaging: Computer-Aided Diagnosis (2022)
Michelle de Oliveira, Karen Drukker, Michael Vieceli, Hiroyuki Abe, Maryellen L. Giger, Heather M. Whitney
Comparison of diagnostic performances, case-based repeatability, and operating sensitivity and specificity in classification of breast lesions using DCE-MRI. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2021)
Paul Amstutz, Karen Drukker, Hui Li, Hiroyuki Abe, Maryellen L. Giger, Heather M. Whitney
Case-based diagnostic classification repeatability using radiomic features extracted from full-field digital mammography images of breast lesions. Medical Imaging: Computer-Aided Diagnosis (2021)
Heather M. Whitney, Maryellen L. Giger
Improvement of classification performance using harmonization across field strength of radiomic features extracted from DCE-MR images of the breast. Medical Imaging: Computer-Aided Diagnosis (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 Method. Proc. IEEE 108 (1) (2020)
Amy Van Dusen, Michael Vieceli, Karen Drukker, Hiroyuki Abe, Maryellen L. Giger, Heather M. Whitney
Repeatability profiles towards consistent sensitivity and specificity levels for machine learning on breast DCE-MRI. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2020)
Qiyuan Hu, Heather M. Whitney, Maryellen L. Giger
Using ResNet feature extraction in computer-aided diagnosis of breast cancer on 927 lesions imaged with multiparametric MRI. Medical Imaging: Computer-Aided Diagnosis (2020)
Michael Vieceli, Amy Van Dusen, Karen Drukker, Hiroyuki Abe, Maryellen L. Giger, Heather M. Whitney
Case-based repeatability of machine learning classification performance on breast MRI. Medical Imaging: Computer-Aided Diagnosis (2020)
Qiyuan Hu, Heather M. Whitney, Maryellen L. Giger
Transfer Learning in 4D for Breast Cancer Diagnosis using Dynamic Contrast-Enhanced Magnetic Resonance Imaging. CoRR (2019)
Heather M. Whitney, Yu Ji, Hui Li, Alexandra Edwards, John Papaioannou, Peifang Liu, Maryellen L. Giger
Effect of diversity of patient population and acquisition systems on the use of radiomics and machine learning for classification of 2, 397 breast lesions. Medical Imaging: Computer-Aided Diagnosis (2019)
Qiyuan Hu, Heather M. Whitney, Alexandra Edwards, John Papaioannou, Maryellen L. Giger
Radiomics and deep learning of diffusion-weighted MRI in the diagnosis of breast cancer. Medical Imaging: Computer-Aided Diagnosis (2019)
Heather M. Whitney, Karen Drukker, Alexandra Edwards, John Papaioannou, Maryellen L. Giger
Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers. IWBI (2018)
Heather M. Whitney, Karen Drukker, Alexandra Edwards, John Papaioannou, Maryellen L. Giger
Robustness of radiomic breast features of benign lesions and luminal A cancers across MR magnet strengths. Medical Imaging: Computer-Aided Diagnosis (2018)