Neus Martínez-Abadías

According to our database, Neus Martínez-Abadías authored at least 13 papers between 2022 and 2025.

Collaborative distances:

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

2025

A 3D Facial Reconstruction Evaluation Methodology: Comparing Smartphone Scans with Deep Learning Based Methods Using Geometry and Morphometry Criteria.

Álvaro Heredia-Lidón, Alejandro Moñux-Bernal, Alejandro González, Luis Miguel Echeverry-Quiceno, Max Rubert, Aroa Casado, María Esther Esteban, Mireia Andreu-Montoriol, Susanna Gallardo, Cristina Ruffo, Neus Martínez-Abadías, Xavier Sevillano

CoRR, February, 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

A Geometric and Morphometric Methodology for Evaluating Low-Cost 3D Facial Acquisition and Reconstruction Techniques.

Álvaro Heredia-Lidón, Alejandro Moñux-Bernal, Alejandro González, Luis Miguel Echeverry-Quiceno, Mireia Andreu-Montoriol, Susanna Gallardo, Aroa Casado, María Esther Esteban, 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

Full-Range Yaw Prediction: A Multi-View Approach for 3D Head Model Pose Estimation Using Convolutional Neural Networks.

Álvaro Heredia-Lidón, 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

2022

μMatch: 3D Shape Correspondence for Biological Image Data.

James Klatzow, Giovanni Dalmasso, Neus Martínez-Abadías, James Sharpe, Virginie Uhlmann

Frontiers Comput. Sci., 2022