David Bermejo-Peláez

Orcid: 0000-0002-0181-3957

According to our database1, David Bermejo-Peláez authored at least 9 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Deep learning-based lung segmentation and automatic regional template in chest x-ray images for pediatric tuberculosis.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

A Lightweight, Rapid and Efficient Deep Convolutional Network for Chest X-Ray Tuberculosis Detection.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Deep-learning characterization and quantification of COVID-19 pneumonia lesions from chest CT images.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2021
Combining collective and artificial intelligence for global health diseases diagnosis using crowdsourced annotated medical images.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2019
A graph-cut approach for pulmonary artery-vein segmentation in noncontrast CT images.
Medical Image Anal., 2019

A SR-NET 3D-to-2D Architecture For Paraseptal Emphysema Segmentation.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Pulmonary Artery-Vein Classification in CT Images Using Deep Learning.
IEEE Trans. Medical Imaging, 2018

Emphysema classification using a multi-view convolutional network.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Deep-learning strategy for pulmonary artery-vein classification of non-contrast CT images.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017


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