Andrew Oustimov

Summary of Outcomes from Consecutive Years of Tomosynthesis Screening at an American Academic Institution

Mitchell D. Schnall, Andrew D. A. Maidment, Bruno Barufaldi, 2016, Digital Mammography / IWDM.

Artificial neural networks in the cancer genomics frontier

Vincent Q. Vu, Andrew Oustimov, Vincent Vu, 2014 .

Parenchymal texture analysis in digital mammography: robust texture feature identification and equivalence across devices

Yuanjie Zheng, Despina Kontos, Shonket Ray, 2015, Journal of medical imaging.

Convolutional neural network approach for enhanced capture of breast parenchymal complexity patterns associated with breast cancer risk

Emily F. Conant, Aimilia Gastounioti, Despina Kontos, 2017, Medical Imaging.

Using Convolutional Neural Networks for Enhanced Capture of Breast Parenchymal Complexity Patterns Associated with Breast Cancer Risk.

Aimilia Gastounioti, Despina Kontos, Meng-Kang Hsieh, 2018, Academic radiology.

Mammographic phenotypes of breast cancer risk driven by breast anatomy

Emily F. Conant, Aimilia Gastounioti, Despina Kontos, 2017, Medical Imaging.

Effectiveness of Digital Breast Tomosynthesis Compared With Digital Mammography: Outcomes Analysis From 3 Years of Breast Cancer Screening.

Andrew Oustimov, Emily F Conant, E. Conant, 2016, JAMA oncology.

Breast parenchymal patterns in processed versus raw digital mammograms: A large population study toward assessing differences in quantitative measures across image representations.

Aimilia Gastounioti, Despina Kontos, Meng-Kang Hsieh, 2016, Medical physics.