Juan Fortea

According to our database, Juan Fortea authored at least 11 papers between 2023 and 2026.

Collaborative distances:

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

2026

Generative Latent Representations of 3D Brain MRI for Multi-Task Downstream Analysis in Down Syndrome.

Jordi Malé, Juan Fortea, Mateus Rozalem Aranha, Neus Martínez-Abadías, Xavier Sevillano

CoRR, February, 2026

2025

BioFace3D: An end-to-end open-source software for automated extraction of potential 3D facial biomarkers from MRI scans.

Álvaro Heredia-Lidón, Luis Miguel Echeverry-Quiceno, Alejandro González, Noemí Hostalet, Edith Pomarol-Clotet, Juan Fortea, Mar Fatjó-Vilas, Neus Martínez-Abadías, Xavier Sevillano

Comput. Methods Programs Biomed., 2025

Exploiting Generative Models for Downstream Classification Tasks on Latent Spaces Using 3D Brain MRI Scans: A Down Syndrome Case Study.

Jordi Malé, Juan Fortea, Mateus Rozalem Aranha, Neus Martínez-Abadías, Xavier Sevillano

Proceedings of the Pattern Recognition and Image Analysis - 12th Iberian Conference, 2025

2024

BioFace3D: A fully automatic pipeline for facial biomarkers extraction of 3D face reconstructions segmented from MRI.

Álvaro Heredia-Lidón, Luis Miguel Echeverry-Quiceno, Alejandro González, Noemí Hostalet, Edith Pomarol-Clotet, Juan Fortea, Mar Fatjó-Vilas, Neus Martínez-Abadías, Xavier Sevillano

CoRR, 2024

A Critical Comparison Between Template-Based and Architecture-Reused Deep Learning Methods for Generic 3D Landmarking of Anatomical Structures.

Álvaro Heredia-Lidón, Christian García-Mascarell, Luis Miguel Echeverry-Quiceno, Noemí Hostalet, Daniel Herrera-Escartín, Alejandro González, Edith Pomarol-Clotet, Juan Fortea, Mar Fatjó-Vilas, Neus Martínez-Abadías, Xavier Sevillano

Proceedings of the Shape in Medical Imaging - International Workshop, 2024

Towards the Discovery of Down Syndrome Brain Biomarkers Using Generative Models.

Jordi Malé, Juan Fortea, Mateus Rozalem Aranha, Yann Heuzé, Neus Martínez-Abadías, Xavier Sevillano

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

Unsupervised Deep Learning Architectures for Anomaly Detection in Brain MRI Scans.

Jordi Malé, Víctor Xirau, Juan Fortea, Yann Heuzé, Neus Martínez-Abadías, Xavier Sevillano

Proceedings of the Artificial Intelligence Research and Development, 2024

Landmark Anything: Multi-View Consensus Convolutional Networks Applied to the 3D Landmarking of Anatomical Structures.

Álvaro Heredia-Lidón, Christian García-Mascarell, Luis Miguel Echeverry-Quiceno, Daniel Herrera-Escartín, Juan Fortea, Edith Pomarol-Clotet, Mar Fatjó-Vilas, Neus Martínez-Abadías, Xavier Sevillano

Proceedings of the Artificial Intelligence Research and Development, 2024

2023

Automated Orientation Detection of 3D Head Reconstructions from sMRI Using Multiview Orthographic Projections: An Image Classification-Based Approach.

Álvaro Heredia-Lidón, Alejandro González, Carlos Guerrero-Mosquera, Rubèn Gonzàlez-Colom, Luis M. Echeverry, Noemí Hostalet, Raymond Salvador, Edith Pomarol-Clotet, Juan Fortea, Neus Martínez-Abadías, Mar Fatjó-Vilas, Xavier Sevillano

Proceedings of the Pattern Recognition and Image Analysis - 11th Iberian Conference, 2023

A Deep Learning-Based Pipeline for Computing Brain Biomarkers from MRI.

Jordi Malé, Yann Heuzé, Juan Fortea, Neus Martínez-Abadías, Xavier Sevillano

Proceedings of the Artificial Intelligence Research and Development, 2023

Single-Landmark vs. Multi-Landmark Deep Learning Approaches to Brain MRI Landmarking: a Case Study with Healthy Controls and Down Syndrome Individuals.

Jordi Malé, Yann Heuzé, Juan Fortea, Neus Martínez-Abadías, Xavier Sevillano

Proceedings of the 34th British Machine Vision Conference 2023, 2023