Juan J. Gómez-Valverde

According to our database, Juan J. Gómez-Valverde authored at least 7 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Deep Learning for Retinal Degeneration Assessment: A Comprehensive Analysis of the MARIO AMD Progression Challenge.

Rachid Zeghlache, Ikram Brahim, Pierre-Henri Conze, Mathieu Lamard, Mohammed El Amine Lazouni, Elaouaber Zineb Aziza, Leila Ryma Lazouni, Christopher Nielsen, Ahmad O. Ahsan, Matthias Wilms, Nils D. Forkert, Lovre Antonio Budimir, Ivana Zadro Matovinovic, Donik Vrsnak, Sven Loncaric, Philippe Zhang, Weili Jiang, Yihao Li, Yiding Hao, Markus Frohmann, Patrick Binder, Marcel Huber, Taha Emre, Teresa Araújo, Marzieh Oghbaie, Hrvoje Bogunovic, Amerens A. Bekkers, Nina M. van Liebergen, Hugo J. Kuijf, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Alberto J. Beltrán-Carrero, Juan J. Gómez-Valverde, Javier Torresano-Rodríguez, Álvaro Caballero-Sastre, María J. Ledesma-Carbayo, Yosuke Yamagishi, Yi Ding, Robin Peretzke, Alexandra Ertl, Maximilian Fischer, Jessica Kächele, Sofiane Zehar, Karim Boukli Hacene, Thomas Monfort, Béatrice Cochener, Mostafa El Habib Daho, Anas-Alexis Benyoussef, Gwenolé Quellec

CoRR, June, 2025

2024

Classification and Prediction of Age-Related Macular Degeneration Progression Using OCT Images and Multiple Instance Learning.

Alberto J. Beltrán-Carrero, Javier Torresano-Rodríguez, Esther Santos-Vicente, María J. Aparicio Hernández-Lastras, Álvaro Caballero-Sastre, María J. Ledesma-Carbayo, Juan J. Gómez-Valverde

Proceedings of the Image-Based Prediction of Retinal Disease Progression, 2024

Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays Using Self-Supervised Learning.

Daniel Capellán-Martín, Abhijeet Parida, Juan J. Gómez-Valverde, Ramon Sánchez-Jacob, Pooneh Roshanitabrizi, Marius George Linguraru, María J. Ledesma-Carbayo, Syed Muhammad Anwar

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Deep learning-based lung segmentation and automatic regional template in chest x-ray images for pediatric tuberculosis.

Daniel Capellán-Martín, Juan J. Gómez-Valverde, Ramon Sánchez-Jacob, David Bermejo-Peláez, Lara García-Delgado, Elisa López-Varela, María J. Ledesma-Carbayo

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

A Lightweight, Rapid and Efficient Deep Convolutional Network for Chest X-Ray Tuberculosis Detection.

Daniel Capellán-Martín, Juan J. Gomez-Valverde, David Bermejo-Peláez, María J. Ledesma-Carbayo

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2020

Automatic estimation of aortic and mitral valve displacements in dynamic CTA with 4D graph-cuts.

Juan E. Ortuño, Gonzalo Vegas-Sánchez-Ferrero, Juan J. Gomez-Valverde, Marcus Y. Chen, Andrés Santos, Elliot R. McVeigh, María J. Ledesma-Carbayo

Medical Image Anal., 2020

2015

Evaluation of speckle reduction with denoising filtering in optical coherence tomography for dermatology.

Juan J. Gomez-Valverde, Juan E. Ortuño, Pedro Guerra, Boris Hermann, Behrooz Zabihian, Jose L. Rubio-Guivernau, Andrés Santos, Wolfgang Drexler, María J. Ledesma-Carbayo

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015