N. Antropova

Most-enhancing tumor volume by MRI radiomics predicts recurrence-free survival “early on” in neoadjuvant treatment of breast cancer

Karen Drukker, Alexandra Edwards, John Papaioannou, 2018, Cancer Imaging.

A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets

Natalia Antropova, Benjamin Q Huynh, Maryellen L Giger, 2017, Medical physics.

Use of clinical MRI maximum intensity projections for improved breast lesion classification with deep convolutional neural networks

Hiroyuki Abe, Natalia Antropova, Maryellen L Giger, 2018, Journal of medical imaging.

Deep learning in breast cancer risk assessment: evaluation of convolutional neural networks on a clinical dataset of full-field digital mammograms

Hui Li, Benjamin Q Huynh, Maryellen L Giger, 2017, Journal of medical imaging.

Breast lesion classification based on dynamic contrast-enhanced magnetic resonance images sequences with long short-term memory networks.

Hui Li, Natalia Antropova, Maryellen L Giger, 2018, Journal of medical imaging.

Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 pdf

Irene Chen, Marzyeh Ghassemi, Alexandre Yahi, 2018, ArXiv.