| 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 | 11 | 2021 |
| Model ensemble for brain tumor segmentation in magnetic resonance imaging D Capellán-Martín, Z Jiang, A Parida, X Liu, V Lam, H Nisar, A Tapp, ... International Challenge on Cross-Modality Domain Adaptation for Medical …, 2023 | 9 | 2023 |
| 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 | 9 | 2023 |
| Artificial intelligence-driven mobile interpretation of a semi-quantitative cryptococcal antigen lateral flow assay D Bermejo-Peláez, A Alastruey-Izquierdo, N Medina, D Capellán-Martín, ... IMA fungus 15 (1), 27, 2024 | 5 | 2024 |
| Adult Glioma Segmentation in Sub-Saharan Africa using Transfer Learning on Stratified Finetuning Data A Parida, D Capellán-Martín, Z Jiang, A Tapp, X Liu, SM Anwar, ... arXiv preprint arXiv:2412.04111, 2024 | 4 | 2024 |
| Enhancing generalizability in brain tumor segmentation: Model ensemble with adaptive post-processing Z Jiang, D Capellán-Martín, A Parida, X Liu, MJ Ledesma-Carbayo, ... 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-4, 2024 | 4 | 2024 |
| DiCoM--Diverse Concept Modeling towards Enhancing Generalizability in Chest X-Ray Studies A Parida, D Capellan-Martin, S Atito, M Awais, MJ Ledesma-Carbayo, ... arXiv preprint arXiv:2402.15534, 2024 | 2 | 2024 |
| 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 |
| Chest X-Ray–Based Telemedicine Platform for Pediatric Tuberculosis Diagnosis in Low-Resource Settings: Development and Validation Study JJ Gómez-Valverde, R Sánchez-Jacob, JL Ribó, HS Schaaf, ... JMIR pediatrics and parenting 7, e51743, 2024 | 1 | 2024 |
| Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays Using Self-Supervised Learning D Capellán-Martín, A Parida, JJ Gómez-Valverde, R Sanchez-Jacob, ... 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024 | 1 | 2024 |
| Magnetic Resonance Imaging Feature-Based Subtyping and Model Ensemble for Enhanced Brain Tumor Segmentation Z Jiang, D Capellán-Martín, A Parida, A Tapp, X Liu, ... arXiv preprint arXiv:2412.04094, 2024 | | 2024 |
| IMG-28. AUTOMATIC BRAIN TUMOR VOLUMETRIC ANALYSIS IN MAGNETIC RESONANCE IMAGING GENERALIZABLE TO PEDIATRIC NEURO-ONCOLOGY Z Jiang, D Capellán-Martín, A Parida, X Liu, V Lam, H Nisar, A Tapp, ... Neuro-Oncology 26 (Suppl 4), 0, 2024 | | 2024 |
| Diseño y desarrollo de una herramienta de extracción y procesado de información volumétrica a partir de imágenes de OCT macular para la evaluación del pronóstico visual en … D Capellán Martín Telecomunicacion, 2019 | | 2019 |
| Evaluation of visual prognosis in patients by extracting and processing volumetric information from macular OCT images D Capellán Martín, MJ Crespo Carballes, ME Hernando Pérez Universidad de Cantabria, 2019 | | 2019 |
Maria J. Ledesma-CarbayoFull Professor, Universidad Politécnica de MadridVerified email at upm.es
