Statistical Machine Learning for Automatic Assessment of Physical Activity Intensity Using Multi-axial Accelerometry and Heart Rate. - Fernando García-García; Gema García-Sáez; Paloma Chausa; Iñaki Martínez-Sarriegui; Pedro José Benito; Enrique J. Gómez; M. Elena Hernando (AIME, 2011)

Prognosis of Abdominal Aortic Aneurysms: A Machine Learning-Enabled Approach Merging Clinical, Morphometric, Biomechanical and Texture Information. - Fernando García-García; Eleni Metaxa; Stergios Christodoulidis; Marios Anthimopoulos; Nikolaos Kontopodis; Martina Correa-Londono; Thomas R. Wyss; Yannis Papaharilaou; Christos V. Ioannou; Hendrik von Tengg-Kobligk; Stavroula G. Mougiakakou (CBMS, 2017)

Modelling the effect of insulin on the disposal of meal-attributable glucose in type 1 diabetes. - Fernando García-García; Roman Hovorka; Malgorzata E. Wilinska; Daniela Elleri; M. Elena Hernando (Medical Biol. Eng. Comput., 2017)

Automated location of orofacial landmarks to characterize airway morphology in anaesthesia via deep convolutional neural networks. - Fernando García-García; Dae-Jin Lee; Francisco J. Mendoza-Garcés; Sofía Irigoyen-Miró; María J. Legarreta-Olabarrieta; Susana García-Gutierrez; Inmaculada Arostegui (Comput. Methods Programs Biomed., 2023)

Reliable prediction of difficult airway for tracheal intubation from patient preoperative photographs by machine learning methods. - Fernando García-García; Dae-Jin Lee; Francisco J. Mendoza-Garcés; Susana García-Gutierrez (Comput. Methods Programs Biomed., 2024)

Cost-Sensitive Ordinal Classification Methods to Predict SARS-CoV-2 Pneumonia Severity. - Fernando García-García; Dae-Jin Lee; Pedro Pablo España Yandiola; Isabel Urrutia Landa; Joaquín Martínez-Minaya; Miren Hayet-Otero; Mónica Nieves Ermecheo; José María Quintana; Rosario Menéndez; Antoni Torres; Rafael Zalacain Jorge (IEEE J. Biomed. Health Informatics, 2024)