Refuge challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs JI Orlando, H Fu, JB Breda, K Van Keer, DR Bathula, A Diaz-Pinto, ... Medical image analysis 59, 101570, 2020 | 564 | 2020 |
CNNs for automatic glaucoma assessment using fundus images: an extensive validation A Diaz-Pinto, S Morales, V Naranjo, T Köhler, JM Mossi, A Navea Biomedical engineering online 18, 1-19, 2019 | 339 | 2019 |
Monai: An open-source framework for deep learning in healthcare MJ Cardoso, W Li, R Brown, N Ma, E Kerfoot, Y Wang, B Murrey, ... arXiv preprint arXiv:2211.02701, 2022 | 279 | 2022 |
Retinal image synthesis and semi-supervised learning for glaucoma assessment A Diaz-Pinto, A Colomer, V Naranjo, S Morales, Y Xu, AF Frangi IEEE transactions on medical imaging 38 (9), 2211-2218, 2019 | 189 | 2019 |
Deep learning in medical image registration X Chen, A Diaz-Pinto, N Ravikumar, AF Frangi Progress in Biomedical Engineering 3 (1), 012003, 2021 | 95 | 2021 |
Monai label: A framework for ai-assisted interactive labeling of 3d medical images A Diaz-Pinto, S Alle, V Nath, Y Tang, A Ihsani, M Asad, F Pérez-García, ... Medical Image Analysis 95, 103207, 2024 | 56 | 2024 |
Predicting myocardial infarction through retinal scans and minimal personal information A Diaz-Pinto, N Ravikumar, R Attar, A Suinesiaputra, Y Zhao, E Levelt, ... Nature Machine Intelligence 4 (1), 55-61, 2022 | 48 | 2022 |
Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds X Chen, N Ravikumar, Y Xia, R Attar, A Diaz-Pinto, SK Piechnik, ... Medical image analysis 74, 102228, 2021 | 26 | 2021 |
Glaucoma Diagnosis by Means of Optic Cup Feature Analysis in Color Fundus Images A Diaz, S Morales, V Naranjo, A Alcocer, Pablo and Lanzagorta 2016 24th European Signal Processing Conference (EUSIPCO), 2055-2059, 2016 | 24 | 2016 |
DeepEdit: deep editable learning for interactive segmentation of 3D medical images A Diaz-Pinto, P Mehta, S Alle, M Asad, R Brown, V Nath, A Ihsani, ... MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, 11-21, 2022 | 18 | 2022 |
Retinal image synthesis for glaucoma assessment using DCGAN and VAE models A Diaz-Pinto, A Colomer, V Naranjo, S Morales, Y Xu, AF Frangi Intelligent Data Engineering and Automated Learning–IDEAL 2018: 19th …, 2018 | 12 | 2018 |
Machine learning for glaucoma assessment using fundus images AY Díaz Pinto Universitat Politècnica de València, 2019 | 9 | 2019 |
Semi-automatic algorithm for breast MRI lesion segmentation using marker-controlled watershed transformation S Vesal, A Diaz-Pinto, N Ravikumar, S Ellmann, A Davari, A Maier arXiv preprint arXiv:1712.05200, 2017 | 4 | 2017 |
Computer-aided glaucoma diagnosis using stochastic watershed transformation on single fundus images A Diaz-Pinto, S Morales, V Naranjo, A Navea Journal of Medical Imaging and Health Informatics 9 (6), 1057-1065, 2019 | 2 | 2019 |
Segment any medical model extended Y Liu, J Zhang, A Diaz-Pinto, H Li, A Martin-Gomez, A Kheradmand, ... Medical Imaging 2024: Image Processing 12926, 411-422, 2024 | 1 | 2024 |
Semi-Supervised Learning for Image Classification using Compact Networks in the BioMedical Context A Inés, A Díaz-Pinto, C Domínguez, J Heras, E Mata, V Pascual arXiv preprint arXiv:2205.09678, 2022 | 1 | 2022 |
Analysing semi-supervised learning for image classification using compact networks in the biomedical context A Inés, A Díaz-Pinto, C Domínguez, J Heras, E Mata, V Pascual Soft Computing, 1-13, 2023 | | 2023 |
Patient-specific 3D printed/virtual models from automated segmentation using MONAI labels M Antonelli, A Diaz-Pinto, P Mehta, J Cardoso, S Ourselin, A Granados, ... European Urology Open Science 48, S28, 2023 | | 2023 |
Determination of Cardiac Functional Indexes A Diaz-Pinto, N Ravikumar, AF Frangi | | 2023 |
Diagnóstico Automático del Glaucoma a través de la Segmentación y Análisis de la Copa Óptica Usando Imágenes de Fondo de Ojo A Diaz-Pinto, S Morales, V Naranjo, P Alcocer, A Lanzagorta XXXIV Congreso Anual de la Sociedad Española de Ingeniería Biomédica, 383-386, 2016 | | 2016 |