Regional multiscale motion representation for cardiac disease prediction A Moreno, J Rodriguez, F Martínez 2019 XXII Symposium on Image, Signal Processing and Artificial Vision …, 2019 | 10 | 2019 |
Deep learning representations to support COVID-19 diagnosis on CT slices J Ruano, J Arcila, D Romo-Bucheli, C Vargas, J Rodríguez, Ó Mendoza, ... Biomédica 42 (1), 170-183, 2022 | 2 | 2022 |
Kinematic motion representation in Cine-MRI to support cardiac disease classification A Moreno, J Rodríguez, F Martínez Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2022 | 1 | 2022 |
A Multi-Scale Self-Attention Network to Discriminate Pulmonary Nodules A Moreno, A Rueda, F Martinez 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-4, 2022 | 1 | 2022 |
Cardiac disease discrimination from 3d-convolutional kinematic patterns on cine-MRI sequences AM Tarazona, LX Bautista, F Martínez Biomédica 44 (Sp. 1), 2024 | | 2024 |
Exploiting Multi-Head Attention Maps Into A Deep Riemannian Representation to Quantify Pulmonary Nodules A Moreno, J Olmos, L Guayacán, F Martínez 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-4, 2023 | | 2023 |
A volumetric multi-head attention strategy for lung nodule classification in CT A Moreno, A Rueda, F Martinez Medical Imaging 2023: Computer-Aided Diagnosis 12465, 627-630, 2023 | | 2023 |
Representations based on deep learning in support of the diagnosis of COVID-19 in computed tomography slices. J Ruano, J Arcila, D Romo-Bucheli, C Vargas, J Rodríguez, Ó Mendoza, ... | | 2022 |
A fast right ventricle segmentation in cine-MRI from a dense hough representation JA Pico-Velásquez, A Moreno-Tarazona, LC Guayacán-Chaparro, ... Revista Politécnica 18 (35), 84-97, 2022 | | 2022 |