David Bermejo-Peláez

Medicine · Health Sciences

13h-index576citations39works2.62yr avg
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Research Topics

COVID-19 diagnosis using AI(14), Digital Imaging for Blood Diseases(14), Lung Cancer Diagnosis and Treatment(10), Radiomics and Machine Learning in Medical Imaging(9), Biosensors and Analytical Detection(5)

Publications39 total

NTDscope: A multi-contrast portable microscope for disease diagnosis
PLOS Global Public Health·2026Open Access
Spatio-temporal deep learning with temporal attention for indeterminate lung nodule classification
Computers in Biology and Medicine·2025Open Access
Edge-tuning of artificial intelligence improves diagnostic performance for <i>Schistosomiasis haematobium</i> in a rural setting of Côte d’Ivoire
2025· 2 citedOpen Access
378 | EXPLORING A NEW PROGNOSTIC INDEX IN 341 POST‐TRANSPLANT LYMPHOPROLIFERATIVE DISORDERS IN THE “RITUXIMAB ERA”: A RETROSPECTIVE STUDY FROM SPANISH LYMPHOMA GROUP GELTAMO
Hematological Oncology·2025Open Access
NTDscope: A multi-contrast portable microscope for disease diagnosis
2025· 2 citedOpen Access
Artificial Intelligence algorithm for real-time detection and counting of <i>Trypanosoma cruzi</i> parasites using smartphone microscopy
2025· 1 citedOpen Access
Enhancing Soil-Transmitted Helminths Diagnosis Through AI: A Self-supervised Learning Approach with Smartphone-Based Digital Microscopy
Communications in computer and information science·2025
Artificial Intelligence Models for Risk Stratification and Prognosis in AML-NOS
Blood·2024· 2 citedOpen Access
Leveraging AI for Predicting Genetic Alterations in Multiple Myeloma through Morphological Analysis of Bone Marrow Aspirates
Blood·2024Open Access
P-199 Artificial Intelligence System To Predict t(11,14) Status in Multiple Myeloma Patients by Leveraging the Correlation of Plasma Cell Morphology and Genetics
Clinical Lymphoma Myeloma & Leukemia·2024
Artificial intelligence-driven mobile interpretation of a semi-quantitative cryptococcal antigen lateral flow assay
IMA Fungus·2024· 14 citedOpen Access
How many labels do I need? self-supervised learning strategies for multiple blood parasites classification in microscopy images
2024· 2 cited
Learning Breast Tissue Prone-To-Supine Displacement for Surgical Planning with Convolutional Neural Networks
2024
Edge Artificial Intelligence (AI) for real-time automatic quantification of filariasis in mobile microscopy
PLoS neglected tropical diseases·2024· 13 citedOpen Access
How many labels do I need? Self-supervised learning strategies for multiple blood parasites classification in microscopy images
2024Open Access
Digital Microscopy Augmented by Artificial Intelligence to Interpret Bone Marrow Samples for Hematological Diseases
Microscopy and Microanalysis·2024· 5 citedOpen Access
Assessment of Artificial Intelligence Language Models and Information Retrieval Strategies for QA in Hematology
Blood·2023· 2 cited
Edge Artificial Intelligence for real-time automatic quantification of filariasis in mobile microscopy
2023· 1 citedOpen Access
A Lightweight, Rapid and Efficient Deep Convolutional Network for Chest X-Ray Tuberculosis Detection
2023· 13 citedOpen Access
Deep learning-based lung segmentation and automatic regional template in chest x-ray images for pediatric tuberculosis
2023· 3 cited
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Frequent Co-authors

Miguel Luengo-Oroz(26), María J. Ledesma‐Carbayo(24), Elena Dacal(18), Lin Lin(17), Daniel Cuadrado(11), Alexander Vladimirov(9), Jaime García-Villena(9), Raúl San Jośe Estépar(8), Elisa Álamo(8), María Postigo(8), Joaquín Martínez‐López(8), Roberto Mancebo-Martín(6), Adriana Mousa(5), A. Santos(5), Marta Hidalgo Soto(5), Roberto García-Vicente(5), Alejandra Ortiz-Ruiz(5), Luis Seijó(4), Daniel Capellán-Martín(4), Nuria Díez(4)