Deep learning approach to left ventricular non-compaction measurement. - Jesús M. Rodríguez-de-Vera; Josefa González-Carrillo; José M. García 001; Gregorio Bernabé (CoRR, 2020)

Deploying deep learning approaches to left ventricular non-compaction measurement. - Jesús M. Rodríguez-de-Vera; Josefa González-Carrillo; José M. García 001; Gregorio Bernabé (J. Supercomput., 2021)

Left ventricular non-compaction cardiomyopathy automatic diagnosis using a deep learning approach. - Jesús M. Rodríguez-de-Vera; Gregorio Bernabé; José M. García 001; Daniel Saura; Josefa González-Carrillo (Comput. Methods Programs Biomed., 2022)

Good Fences Make Good Neighbours. - Imanol González Estepa; Jesús M. Rodríguez-de-Vera; Bhalaji Nagarajan; Petia Radeva (ICCV (Workshops), 2023)

Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition. - Jesús M. Rodríguez-de-Vera; Pablo Villacorta; Imanol G. Estepa; Marc Bolaños; Ignacio Sarasúa; Bhalaji Nagarajan; Petia Radeva (MADiMa@MM, 2023)

ELFIS: Expert Learning for Fine-grained Image Recognition Using Subsets. - Pablo Villacorta; Jesús M. Rodríguez-de-Vera; Marc Bolaños; Ignacio Sarasua; Bhalaji Nagarajan; Petia Radeva (CoRR, 2023)

LOFI: LOng-tailed FIne-Grained Network for Food Recognition. - Jesús M. Rodríguez-de-Vera; Imanol G. Estepa; Marc Bolaños; Bhalaji Nagarajan; Petia Radeva (CVPR Workshops, 2024)

Precision at Scale: Domain-Specific Datasets On-Demand. - Jesús M. Rodríguez-de-Vera; Imanol G. Estepa; Ignacio Sarasúa; Bhalaji Nagarajan; Petia Radeva (CoRR, 2024)

Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis. - Imanol G. Estepa; Jesús M. Rodríguez-de-Vera; Ignacio Sarasúa; Bhalaji Nagarajan; Petia Radeva (CoRR, 2025)