Survey on deep convolutional neural networks in mammography. - Dina Abdelhafiz; Sheida Nabavi; Reda Ammar; Clifford Yang (ICCABS, 2017)

Residual Deep Learning System for Mass Segmentation and Classification in Mammography. - Dina Abdelhafiz; Sheida Nabavi; Reda Ammar; Clifford Yang; Jinbo Bi (BCB, 2019)

Deep convolutional neural networks for mammography: advances, challenges and applications. - Dina Abdelhafiz; Clifford Yang; Reda Ammar; Sheida Nabavi (BMC Bioinform., 2019)

Convolutional neural network for automated mass segmentation in mammography. - Dina Abdelhafiz; Jinbo Bi; Reda Ammar; Clifford Yang; Sheida Nabavi (BMC Bioinform., 2020)

Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review. - Jun Bai; Russell Posner; Tianyu Wang; Clifford Yang; Sheida Nabavi (Medical Image Anal., 2021)

Applying graph convolution neural network in digital breast tomosynthesis for cancer classification. - Jun Bai; Annie Jin; Andre Jin; Tianyu Wang; Clifford Yang; Sheida Nabavi (BCB, 2022)

Unsupversied feature correlation model to predict breast abnormal variation maps in longitudinal mammograms. - Jun Bai; Annie Jin; Madison Adams; Clifford Yang; Sheida Nabavi (CoRR, 2023)

Benchmarking Distance Functions in Siamese Networks for Current and Prior Mammogram Image Analysis. - Sahand Hamzehei; Afsana Ahsan Jeny; Annie Jin; Clifford Yang; Sheida Nabavi (BIBM, 2024)

Unsupervised feature correlation model to predict breast abnormal variation maps in longitudinal mammograms. - Jun Bai; Annie Jin; Madison Adams; Clifford Yang; Sheida Nabavi (Comput. Medical Imaging Graph., 2024)