3D Total Variation Minimization Filter for Breast Tomosynthesis Imaging. - Ana M. Mota; Nuno Oliveira 003; Pedro Almeida 001; Nuno Matela (Digital Mammography / IWDM, 2016)

Dynamic relaxation in algebraic reconstruction technique (ART) for breast tomosynthesis imaging. - Nuno Oliveira 003; Ana M. Mota; Nuno Matela; L. Janeiro; Pedro Almeida 001 (Comput. Methods Programs Biomed., 2016)

Impact of total variation minimization in volume rendering visualization of breast tomosynthesis data. - Ana M. Mota; Matthew J. Clarkson; Pedro Almeida 001; Luis Peralta; Nuno Matela (Comput. Methods Programs Biomed., 2020)

Optimization of Breast Tomosynthesis Visualization through 3D Volume Rendering. - Ana M. Mota; Matthew J. Clarkson; Pedro Almeida 001; Nuno Matela (J. Imaging, 2020)

An Enhanced Visualization of DBT Imaging Using Blind Deconvolution and Total Variation Minimization Regularization. - Ana M. Mota; Matthew J. Clarkson; Pedro Almeida 001; Nuno Matela (IEEE Trans. Medical Imaging, 2020)

Detection of Microcalcifications in Digital Breast Tomosynthesis using Faster R-CNN and 3D Volume Rendering. - Ana M. Mota; Matthew J. Clarkson; Pedro Almeida 001; Nuno Matela (BIOIMAGING, 2022)

Automatic Classification of Simulated Breast Tomosynthesis Whole Images for the Presence of Microcalcification Clusters Using Deep CNNs. - Ana M. Mota; Matthew J. Clarkson; Pedro Almeida 001; Nuno Matela (J. Imaging, 2022)

Digital Breast Tomosynthesis: Towards Dose Reduction through Image Quality Improvement. - Ana M. Mota; João Mendes; Nuno Matela (J. Imaging, 2023)

Decoding Breast Cancer: Using Radiomics to Non-Invasively Unveil Molecular Subtypes Directly from Mammographic Images. - Manon A. G. Bakker; Maria de Lurdes Ovalho; Nuno Matela; Ana M. Mota (J. Imaging, 2024)