Natalia Antropova

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.

Multi-task Learning in the Computerized Diagnosis of Breast Cancer on DCE-MRIs

Maryellen Giger, Natalia Antropova, Benjamin Huynh, 2017 .

Efficient iterative image reconstruction algorithm for dedicated breast CT

Emil Y. Sidky, Xiaochuan Pan, Ingrid Reiser, 2016, SPIE Medical Imaging.

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.

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.

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.