Diabetic Retinopathy Detection Through Image Analysis Using Deep Convolutional Neural Networks. - Jordi de La Torre; Aïda Valls; Domenec Puig (CCIA, 2016)

Identification and Visualization of the Underlying Independent Causes of the Diagnostic of Diabetic Retinopathy made by a Deep Learning Classifier. - Jordi de La Torre; Aïda Valls; Domenec Puig; Pere Romero-Aroca (CoRR, 2018)

Weighted kappa loss function for multi-class classification of ordinal data in deep learning. - Jordi de La Torre; Domenec Puig; Aïda Valls (Pattern Recognit. Lett., 2018)

Diabetic Retinopathy Classification and Interpretation using Deep Learning Techniques. - Jordi de La Torre (2019)

A deep learning interpretable classifier for diabetic retinopathy disease grading. - Jordi de La Torre; Aïda Valls; Domenec Puig (Neurocomputing, 2020)

Transformadores: Fundamentos teoricos y Aplicaciones. - Jordi de La Torre (CoRR, 2023)

Redes Generativas Adversarias (GAN) Fundamentos Teóricos y Aplicaciones. - Jordi de La Torre (CoRR, 2023)

Autocodificadores Variacionales (VAE) Fundamentos Teóricos y Aplicaciones. - Jordi de La Torre (CoRR, 2023)

Modelos Generativos basados en Mecanismos de Difusión. - Jordi de La Torre (CoRR, 2023)

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans. - Nikolay Burlutskiy; Marija Kekic; Jordi de La Torre; Philipp Plewa; Mehdi Boroumand; Julia Jurkowska; Borjan Venovski; Maria Chiara Biagi; Yeman Brhane Hagos; Roksana Malinowska-Traczyk; Yibo Wang; Jacek Zalewski; et al. (CoRR, 2024)

Scalable Unit Harmonization in Medical Informatics Using Bi-directional Transformers and Bayesian-Optimized BM25 and Sentence Embedding Retrieval. - Jordi de La Torre (CoRR, 2025)

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop. - Jordi de La Torre (CoRR, 2025)