Heather M. Whitney

18 papers Journal 3Unranked 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
AI analysis of medical images at scale as a health disparities probe: a feasibility demonstration using chest radiographs.
CoRR
Heather M. Whitney, Hui Li, Karen Drukker, Elbert Huang, Maryellen L. Giger
2023 — conf
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.
Image Perception, Observer Performance, and Technology Assessment
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
2023 — conf
Investigation of demographic implicit discrimination and disparate impact in chest radiography image-based AI for COVID-19 severity prediction.
Image Perception, Observer Performance, and Technology Assessment
Heather M. Whitney, Hui Li, Karen Drukker, Michael Reeve, Maryellen L. Giger
2022 — conf
Case-based repeatability and operating point variability of AI: breast lesion classification based on deep transfer learning.
Image Perception, Observer Performance, and Technology Assessment
Heather M. Whitney, Karen Drukker, Hiroyuki Abe, Maryellen L. Giger
2022 — conf
Effect of different molecular subtype reference standards in AI training: implications for DCE-MRI radiomics of breast cancers.
Computer-Aided Diagnosis
Heather M. Whitney, Yu Ji, Hui Li, Peifang Liu, Maryellen L. Giger
2022 — conf
Sequestration of imaging studies in MIDRC: a multi-institutional data commons.
Image Perception, Observer Performance, and Technology Assessment
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
2021 — conf
Case-based diagnostic classification repeatability using radiomic features extracted from full-field digital mammography images of breast lesions.
Computer-Aided Diagnosis
Paul Amstutz, Karen Drukker, Hui Li, Hiroyuki Abe, Maryellen L. Giger, Heather M. Whitney
2021 — conf
Comparison of diagnostic performances, case-based repeatability, and operating sensitivity and specificity in classification of breast lesions using DCE-MRI.
Image Perception, Observer Performance, and Technology Assessment
Michelle de Oliveira, Karen Drukker, Michael Vieceli, Hiroyuki Abe, Maryellen L. Giger, Heather M. Whitney
2020 — conf
Case-based repeatability of machine learning classification performance on breast MRI.
Computer-Aided Diagnosis
Michael Vieceli, Amy Van Dusen, Karen Drukker, Hiroyuki Abe, Maryellen L. Giger, Heather M. Whitney
2020 J jnl
Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Method.
Proc. IEEE
Heather M. Whitney, Hui Li, Yu Ji, Peifang Liu, Maryellen L. Giger
2020 — conf
Improvement of classification performance using harmonization across field strength of radiomic features extracted from DCE-MR images of the breast.
Computer-Aided Diagnosis
Heather M. Whitney, Maryellen L. Giger
2020 — conf
Repeatability profiles towards consistent sensitivity and specificity levels for machine learning on breast DCE-MRI.
Image Perception, Observer Performance, and Technology Assessment
Amy Van Dusen, Michael Vieceli, Karen Drukker, Hiroyuki Abe, Maryellen L. Giger, Heather M. Whitney
2020 — conf
Using ResNet feature extraction in computer-aided diagnosis of breast cancer on 927 lesions imaged with multiparametric MRI.
Computer-Aided Diagnosis
Qiyuan Hu, Heather M. Whitney, Maryellen L. Giger
2019 — conf
Effect of diversity of patient population and acquisition systems on the use of radiomics and machine learning for classification of 2, 397 breast lesions.
Computer-Aided Diagnosis
Heather M. Whitney, Yu Ji, Hui Li, Alexandra Edwards, John Papaioannou, Peifang Liu, Maryellen L. Giger
2019 — conf
Radiomics and deep learning of diffusion-weighted MRI in the diagnosis of breast cancer.
Computer-Aided Diagnosis
Qiyuan Hu, Heather M. Whitney, Alexandra Edwards, John Papaioannou, Maryellen L. Giger
2019 J jnl
Transfer Learning in 4D for Breast Cancer Diagnosis using Dynamic Contrast-Enhanced Magnetic Resonance Imaging.
CoRR
Qiyuan Hu, Heather M. Whitney, Maryellen L. Giger
2018 — conf
Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers.
IWBI
Heather M. Whitney, Karen Drukker, Alexandra Edwards, John Papaioannou, Maryellen L. Giger
2018 — conf
Robustness of radiomic breast features of benign lesions and luminal A cancers across MR magnet strengths.
Computer-Aided Diagnosis
Heather M. Whitney, Karen Drukker, Alexandra Edwards, John Papaioannou, Maryellen L. Giger