Eralda Mema

Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement

Richard Ha, Peter D. Chang, Eralda Mema, 2018, Journal of Digital Imaging.

Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening

Nan Wu, Kyunghyun Cho, Eralda Mema, 2019, IEEE Transactions on Medical Imaging.

Does breast MRI background parenchymal enhancement indicate metabolic activity? Qualitative and 3D quantitative computer imaging analysis

Eralda Mema, Jenika Karcich, Binsheng Zhao, 2018, Journal of magnetic resonance imaging : JMRI.

Quantitative 3D breast magnetic resonance imaging fibroglandular tissue analysis and correlation with qualitative assessments: a feasibility study.

Eralda Mema, Ralph T. Wynn, Binsheng Zhao, 2016, Quantitative imaging in medicine and surgery.

Three-Dimensional Quantitative Validation of Breast Magnetic Resonance Imaging Background Parenchymal Enhancement Assessments.

Eralda Mema, Ralph T. Wynn, Binsheng Zhao, 2016, Current problems in diagnostic radiology.

Computed Tomography Measures of Inter-site tumor Heterogeneity for Classifying Outcomes in High-Grade Serous Ovarian Carcinoma: a Retrospective Study

Joseph O. Deasy, Harini Veeraraghavan, Eralda Mema, 2019, bioRxiv.