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Machine Learning to Predict Pre-Eclampsia and Intrauterine Growth Restriction in Pregnant Women. Electronics. 2022. Vol: 11. Núm: 19. 10.3390/electronics11193240.
Montahna, Aleksandro;Oprescu, Andreea Madalina;Romero-Ternero, María Del Carmen:
A Context-Aware Artificial Intelligence-based System to Support Street Crossings For Pedestrians with Visual Impairments. Applied artificial intelligence. 2022. 10.1080/08839514.2022.2062818.
Oprescu, Andreea Madalina;Miró-Amarante, María Gloria;García-Díaz, Lutgardo;Rey, Victoria E.;Chimenea-toscano, Ángel;Martinez , Ricard;Romero-Ternero, María Del Carmen:
Towards a data collection methodology for Responsible Artificial Intelligence in Health: A Prospective and Qualitative Study in Pregnancy. Information Fusion. 2022. Vol: 83¿84. Pág. 53-78. 10.1016/j.inffus.2022.03.011.
Romero-Ternero, María Del Carmen;Cagigas-Muñiz, Daniel;Garcia-Robles, María Del Rocio;Oprescu, Andreea Madalina:
Usability and User Experience Study with Children for a Mobile Health App. JMIR mHealth and uHealth. 2021. https://preprints.jmir.org/preprint/30443 (en revisión).
Oprescu, Andreea Madalina;Miró-Amarante, María Gloria;García-Díaz, Lutgardo;Beltran-Romero, Luis Matias;Romero-Ternero, María Del Carmen:
Artificial Intelligence in Pregnancy: A Scoping Review. IEEE Access. 2020. Vol: 8. Pág. 181450-181484. 10.1109/ACCESS.2020.3028333.