David Bermejo-Peláez
Orcid: 0000-0002-0181-3957
According to our database1,
David Bermejo-Peláez
authored at least 11 papers
between 2017 and 2024.
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Bibliography
2024
How many labels do I need? self-supervised learning strategies for multiple blood parasites classification in microscopy images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Learning Breast Tissue Prone-To-Supine Displacement for Surgical Planning with Convolutional Neural Networks.
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.
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.
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, San Diego, 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
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
IEEE Trans. Medical Imaging, 2018
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