Performance comparison of deep learning and segmentation-based radiomic methods in the task of distinguishing benign and malignant breast lesions on DCE-MRI. - Natasha Antropova; Benjamin Q. Huynh; Maryellen L. Giger (Computer-Aided Diagnosis, 2017)

Comparison of breast DCE-MRI contrast time points for predicting response to neoadjuvant chemotherapy using deep convolutional neural network features with transfer learning. - Benjamin Q. Huynh; Natasha Antropova; Maryellen L. Giger (Computer-Aided Diagnosis, 2017)

Recurrent neural networks for breast lesion classification based on DCE-MRIs. - Natasha Antropova; Benjamin Q. Huynh; Maryellen L. Giger (Computer-Aided Diagnosis, 2018)

A Deep Learning Approach for Characterizing Major Galaxy Mergers. - Skanda Koppula; Victor Bapst; Marc Huertas-Company; Sam Blackwell; Agnieszka Grabska-Barwinska; Sander Dieleman; Andrea Huber; Natasha Antropova; Mikolaj Binkowski; Hannah Openshaw; Adrià Recasens; Fernando Caro; et al. (CoRR, 2021)