| Neurodevelopmental Impairments Prediction in Premature Infants Based on Clinical Data and Machine Learning Techniques A Ortega-Leon, A Gucciardi, A Segado-Arenas, I Benavente-Fernández, ... Stats 7 (3), 685-696, 2024 | | 2024 |
| A Machine Learning Approach to Predict MRI Brain Abnormalities in Preterm Infants Using Clinical Data A Ortega-Leon, R Khaled, MI Rodríguez-García, D Urda, IJ Turias International Work-Conference on Bioinformatics and Biomedical Engineering …, 2023 | | 2023 |
| Virtual Sensor to Estimate Air Pollution Heavy Metals Using Bioindicators AMO León, J González-Enrique, IJ Turias 17th International Conference on Soft Computing Models in Industrial and …, 2022 | | 2022 |
| Virtual Sensor to Estimate Air Pollution Heavy Metals Using Bioindicators MI Rodríguez-García, N Kouadria, AMO León, J González-Enrique, ... International Workshop on Soft Computing Models in Industrial and …, 2022 | | 2022 |
| Actas de las II Jornadas de Investigación Predoctoral en Ingeniería Informática (JIPII 2022) J Boubeta Puig, JJ Domínguez Jiménez | | 2022 |
| A Machine Learning approach for early diagnosis of NDI in premature infants A Ortega-Leon, D Urda, IJ Turias Predoctoral en Ingenierıa Informática, 24, 2022 | | 2022 |
| Automatic neonatal cranial ultrasound segmentation using deep learning: A review. Roa'a Khaled, AMO León, J Pizarro, I Benavente-Fernández, ... DETERMINED, 49-64, 2022 | | 2022 |
| Automatic neonatal cranial ultrasound segmentation using deep learning: A review IB Fernández, SPL López, LC Gontard | | 2022 |
| Highlights of the 1st Ecuadorian-Venezuelan Symposium of Young Researchers in Bioinformatics (1SEVJIB) S Ayala-Ruano, F Hernandez, A Ortega, D Infante, D Carrascal, ... F1000Research 11, 2022 | | 2022 |
| Trabajo para ser publicado en la revista AM Ortega Leon | | 2018 |
