| Pulmonary artery–vein classification in CT images using deep learning P Nardelli, D Jimenez-Carretero, D Bermejo-Pelaez, GR Washko, ... IEEE transactions on medical imaging 37 (11), 2428-2440, 2018 | 180 | 2018 |
| Classification of interstitial lung abnormality patterns with an ensemble of deep convolutional neural networks D Bermejo-Peláez, SY Ash, GR Washko, R San José Estépar, ... Scientific reports 10 (1), 338, 2020 | 87 | 2020 |
| A graph-cut approach for pulmonary artery-vein segmentation in noncontrast CT images D Jimenez-Carretero, D Bermejo-Peláez, P Nardelli, P Fraga, E Fraile, ... Medical Image Analysis 52, 144-159, 2019 | 33 | 2019 |
| Mobile microscopy and telemedicine platform assisted by deep learning for the quantification of Trichuris trichiura infection E Dacal, D Bermejo-Peláez, L Lin, E Álamo, D Cuadrado, Á Martínez, ... PLoS neglected tropical diseases 15 (9), e0009677, 2021 | 31 | 2021 |
| Emphysema classification using a multi-view convolutional network D Bermejo-Peláez, RSJ Estepar, MJ Ledesma-Carbayo 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 17 | 2018 |
| 3D-Printed Portable Robotic Mobile Microscope for Remote Diagnosis of Global Health Diseases J García-Villena, JE Torres, C Aguilar, L Lin, D Bermejo-Peláez, E Dacal, ... Electronics 10 (19), 2408, 2021 | 15 | 2021 |
| Deep-learning strategy for pulmonary artery-vein classification of non-contrast CT images P Nardelli, D Jimenez-Carretero, D Bermejo-Peláez, ... 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 15 | 2017 |
| Deep learning-based lesion subtyping and prediction of clinical outcomes in COVID-19 pneumonia using chest CT D Bermejo-Peláez, R San José Estépar, M Fernández-Velilla, ... Scientific Reports 12 (1), 9387, 2022 | 11 | 2022 |
| A Smartphone-Based Platform Assisted by Artificial Intelligence for Reading and Reporting Rapid Diagnostic Tests: Evaluation Study in SARS-CoV-2 Lateral Flow Immunoassays D Bermejo-Peláez, D Marcos-Mencía, E Álamo, N Pérez-Panizo, A Mousa, ... JMIR Public Health and Surveillance 8 (12), e38533, 2022 | 8 | 2022 |
| Integration of longitudinal deep-radiomics and clinical data improves the prediction of durable benefits to anti-PD-1/PD-L1 immunotherapy in advanced NSCLC patients B Farina, ADR Guerra, D Bermejo-Peláez, CP Miras, AA Peral, ... Journal of Translational Medicine 21 (1), 1-15, 2023 | 6 | 2023 |
| Combining collective and artificial intelligence for global health diseases diagnosis using crowdsourced annotated medical images L Lin, D Bermejo-Peláez, D Capellán-Martín, D Cuadrado, C Rodríguez, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 6 | 2021 |
| Digital Platform for Automatic Qualitative and Quantitative Reading of a Cryptococcal Antigen Point-of-Care Assay Leveraging Smartphones and Artificial Intelligence D Bermejo-Peláez, N Medina, E Álamo, JC Soto-Debran, O Bonilla, ... Journal of Fungi 9 (2), 217, 2023 | 5 | 2023 |
| A SR-NET 3D-to-2D Architecture For Paraseptal Emphysema Segmentation D Bermejo-Peláez, Y Okajima, GR Washko, MJ Ledesma-Carbayo, ... 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 5 | 2019 |
| A Lightweight, Rapid and Efficient Deep Convolutional Network for Chest X-Ray Tuberculosis Detection D Capellán-Martín, JJ Gómez-Valverde, D Bermejo-Peláez, ... 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 2 | 2023 |
| Deep learning-based lung segmentation and automatic regional template in chest X-ray images for pediatric tuberculosis D Capellán-Martín, JJ Gómez-Valverde, R Sanchez-Jacob, ... arXiv preprint arXiv:2301.13786, 2023 | 2 | 2023 |
| Detección y clasificación de enfisema pulmonar en imágenes de TAC mediante Redes Neuronales Convolucionales Multiescala D Bermejo Peláez, R San José Estépar, MJ Ledesma Carbayo Universitat Politècnica de València, 2016 | 1 | 2016 |
| Digital Microscopy Augmented by Artificial Intelligence to Interpret Bone Marrow Samples for Hematological Diseases D Bermejo-Peláez, S Rueda Charro, M García Roa, R Trelles-Martínez, ... Microscopy and Microanalysis, ozad143, 2024 | | 2024 |
| How many labels do I need? Self-supervised learning strategies for multiple blood parasites classification in microscopy images R Mancebo-Martin, L Lin, E Dacal, M Luengo-Oroz, D Bermejo-Pelaez medRxiv, 2024.02. 29.24303535, 2024 | | 2024 |
| Assessment of Artificial Intelligence Language Models and Information Retrieval Strategies for QA in Hematology MR Cervera, D Bermejo-Peláez, M Gómez-Álvarez, MH Soto, ... Blood 142, 7175, 2023 | | 2023 |
| Edge Artificial Intelligence for real-time automatic quantification of filariasis in mobile microscopy L Lin, E Dacal, N Diez, C Carmona, A Martin Ramirez, L Baron Argos, ... medRxiv, 2023.08. 02.23293538, 2023 | | 2023 |
Maria J. Ledesma-CarbayoFull Professor, Universidad Politécnica de MadridVerified email at upm.es
