Deep-learning strategy for pulmonary artery-vein classification of non-contrast CT images. - Pietro Nardelli; Daniel Jimenez-Carretero; David Bermejo-Peláez; María J. Ledesma-Carbayo; Farbod N. Rahaghi; Raúl San José Estépar (ISBI, 2017)

Emphysema classification using a multi-view convolutional network. - David Bermejo-Peláez; Raúl San José Estépar; María J. Ledesma-Carbayo (ISBI, 2018)

Pulmonary Artery-Vein Classification in CT Images Using Deep Learning. - Pietro Nardelli; Daniel Jimenez-Carretero; David Bermejo-Peláez; George R. Washko; Farbod N. Rahaghi; María J. Ledesma-Carbayo; Raúl San José Estépar (IEEE Trans. Medical Imaging, 2018)

A SR-NET 3D-to-2D Architecture For Paraseptal Emphysema Segmentation. - David Bermejo-Peláez; Yuka Okajima; George R. Washko; María-Jesus Ledesma-Carbayo; Raúl San José Estépar (ISBI, 2019)

A graph-cut approach for pulmonary artery-vein segmentation in noncontrast CT images. - Daniel Jimenez-Carretero; David Bermejo-Peláez; Pietro Nardelli; Patricia Fraga; Eduardo Fraile Moreno; Raúl San José Estépar; María J. Ledesma-Carbayo (Medical Image Anal., 2019)

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 (EMBC, 2021)

Deep-learning characterization and quantification of COVID-19 pneumonia lesions from chest CT images. - 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; et al. (Computer-Aided Diagnosis, 2022)

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 (ISBI, 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 (Computer-Aided Diagnosis, 2023)

Learning Breast Tissue Prone-To-Supine Displacement for Surgical Planning with Convolutional Neural Networks. - Felicia Alfano; David Bermejo-Peláez; Lucilio Cordero-Grande; Karla Ferreres García; Juan Enrique Ortuño Fisac; Oscar Bueno Zamora; Serafín Lizarraga; Andrés Santos; Javier Pascau; María J. Ledesma-Carbayo (ISBI, 2024)

How many labels do I need? self-supervised learning strategies for multiple blood parasites classification in microscopy images. - Roberto Mancebo-Martín; Lin Lin; Elena Dacal; Miguel A. Luengo-Oroz; David Bermejo-Peláez (ISBI, 2024)