Félix Nieto-del-Amor

Orcid: 0000-0003-0050-9360

According to our database1, Félix Nieto-del-Amor authored at least 12 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Transformer-Based Foundation Model for Universal Ultrasound Image Analysis.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Magnetic Resonance Elastography: Predicting Brain Stiffness in Parkinson's Disease Patients From Multidimensional Diffusion Mri.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025
Synchronization study of electrohysterography for discrimination of imminent delivery in pregnant women with threatened preterm labor.
Comput. Biol. Medicine, 2025

2024
A computationally efficient anisotropic electrophysiological multiscale uterus model: From cell to organ and myometrium to abdominal surface.
Comput. Methods Programs Biomed., 2024

Automatic semantic segmentation of EHG recordings by deep learning: An approach to a screening tool for use in clinical practice.
Comput. Methods Programs Biomed., 2024

Recurrence quantification analysis of uterine vectormyometriogram to identify pregnant women with threatened preterm labor.
Biomed. Signal Process. Control., 2024

2023
Inception 1D-convolutional neural network for accurate prediction of electrical insulator leakage current from environmental data during its normal operation using long-term recording.
Eng. Appl. Artif. Intell., March, 2023

Comparison of the Electrophysiological Myoelectrical Activity Evolution in Induction of Labor with Pharmacological and Mechanical Methods.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

2022
Combination of Feature Selection and Resampling Methods to Predict Preterm Birth Based on Electrohysterographic Signals from Imbalance Data.
Sensors, 2022

2021
Optimized Feature Subset Selection Using Genetic Algorithm for Preterm Labor Prediction Based on Electrohysterography.
Sensors, 2021

Assessment of Dispersion and Bubble Entropy Measures for Enhancing Preterm Birth Prediction Based on Electrohysterographic Signals.
Sensors, 2021

Dispersion Entropy: A Measure of Electrohysterographic Complexity for Preterm Labor Discrimination.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021


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