Assessment of Dispersion and Bubble Entropy Measures for Enhancing Preterm Birth Prediction Based on Electrohysterographic Signals. - Félix Nieto-del-Amor; Raja Beskhani; Yiyao Ye-Lin; Javier Garcia-Casado; Alba Diaz-Martinez; Rogelio Monfort-Ortiz; Vicente Jose Diago-Almela; Dongmei Hao; Gema Prats-Boluda (Sensors, 2021)

Optimized Feature Subset Selection Using Genetic Algorithm for Preterm Labor Prediction Based on Electrohysterography. - Félix Nieto-del-Amor; Gema Prats-Boluda; Jose L. Martinez-de-Juan; Alba Diaz-Martinez; Rogelio Monfort-Ortiz; Vicente Jose Diago-Almela; Yiyao Ye-Lin (Sensors, 2021)

Combination of Feature Selection and Resampling Methods to Predict Preterm Birth Based on Electrohysterographic Signals from Imbalance Data. - Félix Nieto-del-Amor; Gema Prats-Boluda; Javier Garcia-Casado; Alba Diaz-Martinez; Vicente Jose Diago-Almela; Rogelio Monfort-Ortiz; Dongmei Hao; Yiyao Ye-Lin (Sensors, 2022)

Comparison of the Electrophysiological Myoelectrical Activity Evolution in Induction of Labor with Pharmacological and Mechanical Methods. - Alba Diaz-Martinez; Yiyao Ye-Lin; Rogelio Monfort-Ortiz; Javier Garcia-Casado; Iria Rey-Ferreira; Félix Nieto-del-Amor; Vicente Jose Diago-Almela; Jose L. Martinez-de-Juan; Gema Prats-Boluda (BIOSIGNALS, 2023)

Automatic semantic segmentation of EHG recordings by deep learning: An approach to a screening tool for use in clinical practice. - Félix Nieto-del-Amor; Yiyao Ye-Lin; Rogelio Monfort-Ortiz; Vicente Jose Diago-Almela; Fernando Modrego-Pardo; Jose L. Martinez-de-Juan; Dongmei Hao; Gema Prats-Boluda (Comput. Methods Programs Biomed., 2024)