A deep learning interpretable classifier for diabetic retinopathy disease grading J de La Torre, A Valls, D Puig Neurocomputing 396, 465-476, 2020 | 177 | 2020 |
Weighted kappa loss function for multi-class classification of ordinal data in deep learning J de La Torre, D Puig, A Valls Pattern Recognition Letters 105, 144-154, 2018 | 94 | 2018 |
Diabetic retinopathy detection through image analysis using deep convolutional neural networks J de La Torre, A Valls, D Puig Artificial Intelligence Research and Development, 58-63, 2016 | 11 | 2016 |
Validation of a deep learning algorithm for diabetic retinopathy P Romero-Aroca, R Verges-Puig, J de la Torre, A Valls, ... Telemedicine and e-Health 26 (8), 1001-1009, 2020 | 8 | 2020 |
Identification and visualization of the underlying independent causes of the diagnostic of diabetic retinopathy made by a deep learning classifier J de La Torre, A Valls, D Puig, P Romero-Aroca arXiv preprint arXiv:1809.08567, 2018 | 7 | 2018 |
Autocodificadores Variacionales (VAE) Fundamentos Te\'oricos y Aplicaciones J de La Torre arXiv preprint arXiv:2302.09363, 2023 | 1 | 2023 |
Transformadores: Fundamentos teoricos y Aplicaciones J de La Torre arXiv preprint arXiv:2302.09327, 2023 | 1 | 2023 |
Redes Generativas Adversarias (GAN) Fundamentos Te\'oricos y Aplicaciones J de La Torre arXiv preprint arXiv:2302.09346, 2023 | 1 | 2023 |
Modelos Generativos basados en Mecanismos de Difusi\'on J de La Torre arXiv preprint arXiv:2302.09378, 2023 | | 2023 |
Validation of a Deep Learning Algorithm for Diabetic Retinopathy M Baget-Bernaldiz, D Puig, N Relano-Barambio, A Valls, J de la Torre, ... | | 2020 |
Diabetic retinopathy classification and interpretation using deep learning techniques J de La Torre Universitat Rovira i Virgili, 2019 | | 2019 |
Deep learning techniques for prediction of diabetic retinopathy severity J de la Torre 4th URV Doctoral Workshop in Computer Science and Mathematics, 21, 2017 | | 2017 |