Michael R. Harowicz

A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features

Ashirbani Saha, Michael R. Harowicz, Lars J. Grimm et al. · British Journal of Cancer · 2018 · 288 citations · Full text

Multivariate machine learning models for prediction of pathologic response to neoadjuvant therapy in breast cancer using MRI features: a study using an independent validation set

Elizabeth Hope Cain, Ashirbani Saha, Michael R. Harowicz et al. · Breast Cancer Research and Treatment · 2018 · 193 citations

Breast Oncology, Engineering, Machine Learning +12

Deep learning for identifying radiogenomic associations in breast cancer

Zhe Zhu, Ehab A. AlBadawy, Ashirbani Saha et al. · Computers in Biology and Medicine · 2019 · 159 citations · Full text

Cancer Genomics, Breast Cancer, Deep Learning +2

Breast cancer <scp>MRI</scp> radiomics: An overview of algorithmic features and impact of inter‐reader variability in annotating tumors

Ashirbani Saha, Michael R. Harowicz, Maciej A. Mazurowski · Medical Physics · 2018 · 62 citations

Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ

Zhe Zhu, Michael R. Harowicz, Jun Zhang et al. · Computers in Biology and Medicine · 2019 · 53 citations

Radiation Oncology, Engineering, Machine Learning +14