David Bermejo-Peláez

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 11

Top Topics

Medical Imaging

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Medical Image Anal.

Publications

Daniel Capellán-Martín, Juan J. Gomez-Valverde, Ramon Sanchez-Jacob, David Bermejo-Peláez, Lara García-Delgado, Elisa López-Varela, María J. Ledesma-Carbayo
Deep learning-based lung segmentation and automatic regional template in chest X-ray images for pediatric tuberculosis. CoRR (2023)
Daniel Capellán-Martín, Juan J. Gómez-Valverde, Ramon Sánchez-Jacob, David Bermejo-Peláez, Lara García-Delgado, Elisa López-Varela, María J. Ledesma-Carbayo
Deep learning-based lung segmentation and automatic regional template in chest x-ray images for pediatric tuberculosis. Medical Imaging: Computer-Aided Diagnosis (2023)
Daniel Capellán-Martín, Juan J. Gómez-Valverde, David Bermejo-Peláez, María J. Ledesma-Carbayo
A Lightweight, Rapid and Efficient Deep Convolutional Network for Chest X-Ray Tuberculosis Detection. CoRR (2023)
Daniel Capellán-Martín, Juan J. Gomez-Valverde, David Bermejo-Peláez, María J. Ledesma-Carbayo
A Lightweight, Rapid and Efficient Deep Convolutional Network for Chest X-Ray Tuberculosis Detection. ISBI (2023)
David Bermejo-Peláez, Raúl San José Estépar, M. Fernández-Velilla, Carmelo Palacios Miras, Guillermo Gallardo Madueño, M. Benegas, Miguel A. Luengo-Oroz, J. Sellarés, M. Sánchez, Gorka Bastarrika, German R. Peces-Barba, Luis Miguel Seijo Maceiras, María J. Ledesma-Carbayo
Deep-learning characterization and quantification of COVID-19 pneumonia lesions from chest CT images. Medical Imaging: Computer-Aided Diagnosis (2022)
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
Combining collective and artificial intelligence for global health diseases diagnosis using crowdsourced annotated medical images. EMBC (2021)
David Bermejo-Peláez, Yuka Okajima, George R. Washko, María-Jesus Ledesma-Carbayo, Raúl San José Estépar
A SR-NET 3D-to-2D Architecture For Paraseptal Emphysema Segmentation. ISBI (2019)
Daniel Jimenez-Carretero, David Bermejo-Peláez, Pietro Nardelli, Patricia Fraga, Eduardo Fraile Moreno, Raúl San José Estépar, María J. Ledesma-Carbayo
A graph-cut approach for pulmonary artery-vein segmentation in noncontrast CT images. Medical Image Anal. 52 (2019)
David Bermejo-Peláez, Raúl San José Estépar, María J. Ledesma-Carbayo
Emphysema classification using a multi-view convolutional network. ISBI (2018)
Pietro Nardelli, Daniel Jimenez-Carretero, David Bermejo-Peláez, George R. Washko, Farbod N. Rahaghi, María J. Ledesma-Carbayo, Raúl San José Estépar
Pulmonary Artery-Vein Classification in CT Images Using Deep Learning. IEEE Trans. Medical Imaging 37 (11) (2018)
Pietro Nardelli, Daniel Jimenez-Carretero, David Bermejo-Peláez, María J. Ledesma-Carbayo, Farbod N. Rahaghi, Raúl San José Estépar
Deep-learning strategy for pulmonary artery-vein classification of non-contrast CT images. ISBI (2017)