Heather M. Whitney

发表

Radiomics and deep learning of diffusion-weighted MRI in the diagnosis of breast cancer

Maryellen L. Giger, Qiyuan Hu, Heather M. Whitney, 2019, Medical Imaging.

Search Engines, Free Speech Coverage, and the Limits of Analogical Reasoning

Heather M. Whitney, Robert Mark Simpson, 2017 .

Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers

Maryellen L. Giger, Karen Drukker, Heather M. Whitney, 2019, Journal of medical imaging.

Using ResNet feature extraction in computer-aided diagnosis of breast cancer on 927 lesions imaged with multiparametric MRI

Maryellen L. Giger, Qiyuan Hu, Heather M. Whitney, 2020, Medical Imaging.

Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers

Maryellen L. Giger, Karen Drukker, Heather M. Whitney, 2018, Other Conferences.

Repeatability profiles towards consistent sensitivity and specificity levels for machine learning on breast DCE-MRI

Karen Drukker, Heather M. Whitney, Hiroyuki Abe, 2020, Medical Imaging.

Effect of diversity of patient population and acquisition systems on the use of radiomics and machine learning for classification of 2,397 breast lesions

Maryellen L. Giger, Heather M. Whitney, Alexandra Edwards, 2019, Medical Imaging.

Case-based repeatability of machine learning classification performance on breast MRI

Karen Drukker, Heather M. Whitney, Hiroyuki Abe, 2020, Medical Imaging.

Radiomics methodology for breast cancer diagnosis using multiparametric magnetic resonance imaging

Maryellen L. Giger, Heather M. Whitney, Qiyuan Hu, 2020, Journal of medical imaging.

Robustness of radiomic breast features of benign lesions and luminal A cancers across MR magnet strengths

Maryellen L. Giger, Karen Drukker, Heather M. Whitney, 2018, Medical Imaging.

Harmonization of radiomic features of breast lesions across international DCE-MRI datasets

Maryellen L. Giger, Heather M. Whitney, Peifang Liu, 2020, Journal of medical imaging.

Transfer Learning in 4D for Breast Cancer Diagnosis using Dynamic Contrast-Enhanced Magnetic Resonance Imaging pdf

Qiyuan Hu, Heather M. Whitney, Maryellen L. Giger, 2019, ArXiv.

Improvement of classification performance using harmonization across field strength of radiomic features extracted from DCE-MR images of the breast

Heather M. Whitney, Maryellen L. Giger, M. Giger, 2020, Medical Imaging.

A deep learning methodology for improved breast cancer diagnosis using multiparametric MRI

Maryellen L. Giger, Heather M. Whitney, Qiyuan Hu, 2020, Scientific Reports.

Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Method

Maryellen L. Giger, Heather M. Whitney, Peifang Liu, 2020, Proceedings of the IEEE.