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Works (6)

Artificial intelligence-driven mobile interpretation of a semi-quantitative cryptococcal antigen lateral flow assay

IMA Fungus
2024-08-30 | Journal article
DOI: 10.1186/s43008-024-00158-5
Contributors: David Bermejo-Peláez; Ana Alastruey-Izquierdo; Narda Medina; Daniel Capellán-Martín; Oscar Bonilla; Miguel Luengo-Oroz; Juan Luis Rodríguez-Tudela
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Chest X-Ray–Based Telemedicine Platform for Pediatric Tuberculosis Diagnosis in Low-Resource Settings: Development and Validation Study

JMIR Pediatrics and Parenting
2024-07-01 | Journal article
DOI: 10.2196/51743
Contributors: Juan J Gómez-Valverde; Ramón Sánchez-Jacob; José Luis Ribó; H Simon Schaaf; Lara García Delgado; Alicia Hernanz-Lobo; Daniel Capellán-Martín; Ángel Lancharro; Orvalho Augusto; Alberto L García-Basteiro et al.
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A Lightweight, Rapid and Efficient Deep Convolutional Network for Chest X-Ray Tuberculosis Detection

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
2023-09-01 | Conference paper
DOI: 10.1109/isbi53787.2023.10230500
Contributors: Daniel Capellán-Martín; Juan J. Gómez-Valverde; David Bermejo-Peláez; María J. Ledesma-Carbayo
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Daniel Capellán-Martín
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Chest X-Ray–Based Telemedicine Platform for Pediatric Tuberculosis Diagnosis in Low-Resource Settings: Development and Validation Study (Preprint)

2023-08-11 | Preprint
DOI: 10.2196/preprints.51743
Contributors: Juan J Gómez-Valverde; Ramón Sánchez-Jacob; José Luis Ribó; H Simon Schaaf; Lara García Delgado; Alicia Hernanz-Lobo; Daniel Capellán-Martín; Ángel Lancharro; Orvalho Augusto; Alberto L García-Basteiro et al.
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Deep learning-based lung segmentation and automatic regional template in chest x-ray images for pediatric tuberculosis

Medical Imaging 2023: Computer-Aided Diagnosis
2023-04-07 | Conference paper
DOI: 10.1117/12.2652626
Contributors: Daniel Capellán-Martín; Juan José Gómez-Valverde; Ramon Sánchez-Jacob; David Bermejo-Peláez; Lara García-Delgado; Elisa López-Varela; María Jesús Ledesma-Carbayo
Source: Self-asserted source
Daniel Capellán-Martín

Combining collective and artificial intelligence for global health diseases diagnosis using crowdsourced annotated medical images

Annual International Conference of the IEEE Engineering in Medicine and Biology
2021 | Conference paper
DOI: 10.1109/EMBC46164.2021.9630868
WOSUID: WOS:000760910503066
Contributors: Lin, Lin; Bermejo-Pelaez, David; Capellan-Martin, Daniel; Cuadrado, Daniel; Rodriguez, Cristina; Garcia, Lydia; Diez, Nuria; Tome, Rocio; Postigo, Maria; Jesus Ledesma-Carbayo, Maria et al.
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Peer review (2 reviews for 2 publications/grants)

Review activity for ERJ open research. (1)
Review activity for IEEE journal of biomedical and health informatics. (1)
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