Daniel Capellán-Martín

According to our database, Daniel Capellán-Martín authored at least 7 papers between 2021 and 2024.

Collaborative distances:

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

2024

Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imaging.

Daniel Capellán-Martín, Zhifan Jiang, Abhijeet Parida, Xinyang Liu, Van Lam, Hareem Nisar, Austin Tapp, Sarah Elsharkawi, María J. Ledesma-Carbayo, Syed Muhammad Anwar, Marius George Linguraru

CoRR, 2024

DiCoM - Diverse Concept Modeling towards Enhancing Generalizability in Chest X-Ray Studies.

Abhijeet Parida, Daniel Capellán-Martín, Sara Atito, Muhammad Awais, María J. Ledesma-Carbayo, Marius George Linguraru, Syed Muhammad Anwar

CoRR, 2024

Enhancing Generalizability in Brain Tumor Segmentation: Model Ensemble with Adaptive Post-Processing.

Zhifan Jiang, Daniel Capellán-Martín, Abhijeet Parida, Xinyang Liu, María J. Ledesma-Carbayo, Syed Muhammad Anwar, Marius George Linguraru

Proceedings of the IEEE International Symposium on Biomedical Imaging, 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

2021

Combining collective and artificial intelligence for global health diseases diagnosis using crowdsourced annotated medical images.

Lin Lin, David Bermejo-Peláez, Daniel Capellán-Martín, Daniel Cuadrado, Cristina Rodríguez, Lydia García, Nuria Díez, Rocío Tomé, María Postigo, María-Jesus Ledesma-Carbayo, Miguel A. Luengo-Oroz

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021