David Bermejo-Peláez

14 papers Journal 5Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Spatio-temporal deep learning with temporal attention for indeterminate lung nodule classification.
Comput. Biol. Medicine
Benito Farina, R. Carbajo Benito, David Montalvo-García, David Bermejo-Peláez, Luis Miguel Seijo Maceiras, María J. Ledesma-Carbayo
2024 — conf
How many labels do I need? self-supervised learning strategies for multiple blood parasites classification in microscopy images.
ISBI
Roberto Mancebo-Martín, Lin Lin, Elena Dacal, Miguel A. Luengo-Oroz, David Bermejo-Peláez
2024 — conf
Learning Breast Tissue Prone-To-Supine Displacement for Surgical Planning with Convolutional Neural Networks.
ISBI
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
2023 — conf
A Lightweight, Rapid and Efficient Deep Convolutional Network for Chest X-Ray Tuberculosis Detection.
ISBI
Daniel Capellán-Martín, Juan J. Gomez-Valverde, David Bermejo-Peláez, María J. Ledesma-Carbayo
2023 J jnl
A Lightweight, Rapid and Efficient Deep Convolutional Network for Chest X-Ray Tuberculosis Detection.
CoRR
Daniel Capellán-Martín, Juan J. Gómez-Valverde, David Bermejo-Peláez, María J. Ledesma-Carbayo
2023 J jnl
Deep learning-based lung segmentation and automatic regional template in chest X-ray images for pediatric tuberculosis.
CoRR
Daniel Capellán-Martín, Juan J. Gomez-Valverde, Ramon Sánchez-Jacob, David Bermejo-Peláez, Lara García-Delgado, Elisa López-Varela, María J. Ledesma-Carbayo
2023 — conf
Deep learning-based lung segmentation and automatic regional template in chest x-ray images for pediatric tuberculosis.
Computer-Aided Diagnosis
Daniel Capellán-Martín, Juan J. Gómez-Valverde, Ramon Sánchez-Jacob, David Bermejo-Peláez, Lara García-Delgado, Elisa López-Varela, María J. Ledesma-Carbayo
2022 — conf
Deep-learning characterization and quantification of COVID-19 pneumonia lesions from chest CT images.
Computer-Aided Diagnosis
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
2021 — conf
Combining collective and artificial intelligence for global health diseases diagnosis using crowdsourced annotated medical images.
EMBC
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
2019 — conf
A SR-NET 3D-to-2D Architecture For Paraseptal Emphysema Segmentation.
ISBI
David Bermejo-Peláez, Yuka Okajima, George R. Washko, María-Jesus Ledesma-Carbayo, Raúl San José Estépar
2019 J jnl
A graph-cut approach for pulmonary artery-vein segmentation in noncontrast CT images.
Medical Image Anal.
Daniel Jimenez-Carretero, David Bermejo-Peláez, Pietro Nardelli, Patricia Fraga, Eduardo Fraile Moreno, Raúl San José Estépar, María J. Ledesma-Carbayo
2018 — conf
Emphysema classification using a multi-view convolutional network.
ISBI
David Bermejo-Peláez, Raúl San José Estépar, María J. Ledesma-Carbayo
2018 J jnl
Pulmonary Artery-Vein Classification in CT Images Using Deep Learning.
IEEE Trans. Medical Imaging
Pietro Nardelli, Daniel Jimenez-Carretero, David Bermejo-Peláez, George R. Washko, Farbod N. Rahaghi, María J. Ledesma-Carbayo, Raúl San José Estépar
2017 — conf
Deep-learning strategy for pulmonary artery-vein classification of non-contrast CT images.
ISBI
Pietro Nardelli, Daniel Jimenez-Carretero, David Bermejo-Peláez, María J. Ledesma-Carbayo, Farbod N. Rahaghi, Raúl San José Estépar