SCIENTIFIC PUBLICATIONS

Lin, L. et al. Artificial Intelligence algorithm for real-time detection and counting of Trypanosoma cruzi parasites using smartphone microscopy. medRxiv. 25323227 (2025). (https://doi.org/10.1101/2025.03.03.25323227).

Lin, L. et al. Edge Artificial Intelligence (AI) for real-time automatic quantification of filariasis in mobile microscopy. PLoS Negl Trop Dis 18, (2024). (https://pubmed.ncbi.nlm.nih.gov/38630833/).

Bermejo-Peláez, D. et al. Digital Microscopy Augmented by Artificial Intelligence to Interpret Bone Marrow Samples for Hematological Diseases. Microscopy and Microanalysis 30, 151–159 (2024). (https://doi.org/10.1093/micmic/ozad143).

Mancebo-Martín, R. et al. How many labels do I need? Self-supervised learning strategies for multiple blood parasites classification in microscopy images. Proceedings – International Symposium on Biomedical Imaging (2024). (https://ieeexplore.ieee.org/document/10635899).

Dacal, E. et al. Mobile microscopy and telemedicine platform assisted by deep learning for the quantification of Trichuris trichiura infection. PLoS Negl Trop Dis 15, (2021). (https://pubmed.ncbi.nlm.nih.gov/34492039/).

García-Villena, J. et al. 3D-Printed Portable Robotic Mobile Microscope for Remote Diagnosis of Global Health Diseases. Electronics 2021, Vol. 10, Page 2408 10, 2408 (2021). (https://www.mdpi.com/2079-9292/10/19/2408/htm).