Dispersion Entropy: A Measure of Electrohysterographic Complexity for Preterm Labor Discrimination. - Félix Nieto-del-Amor; Yiyao Ye-Lin; Javier Garcia-Casado; Alba Diaz-Martinez; María González Martínez; Rogelio Monfort-Ortiz; Gema Prats-Boluda (BIOSIGNALS, 2021)

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)

Inception 1D-convolutional neural network for accurate prediction of electrical insulator leakage current from environmental data during its normal operation using long-term recording. - Jose-M. Bueno Barrachina; Yiyao Ye-Lin; Félix Nieto-del-Amor; Vicente Fuster-Roig (Eng. Appl. Artif. Intell., 2023)

Recurrence quantification analysis of uterine vectormyometriogram to identify pregnant women with threatened preterm labor. - Félix Nieto-del-Amor; Gema Prats-Boluda; Wanting Li; Jose L. Martinez-de-Juan; Lin Yang; Yongxiu Yang; Dongmei Hao; Yiyao Ye-Lin (Biomed. Signal Process. Control., 2024)

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)

A computationally efficient anisotropic electrophysiological multiscale uterus model: From cell to organ and myometrium to abdominal surface. - Yongxiu Yang; Chris Bradley; Guangfei Li; Rogelio Monfort-Ortiz; Félix Nieto-del-Amor; Dongmei Hao; Yiyao Ye-Lin (Comput. Methods Programs Biomed., 2024)

Synchronization study of electrohysterography for discrimination of imminent delivery in pregnant women with threatened preterm labor. - Wanting Li; Yongxiu Yang; Guangfei Li; Félix Nieto-del-Amor; Gema Prats-Boluda; Javier Garcia-Casado; Yiyao Ye-Lin; Dongmei Hao (Comput. Biol. Medicine, 2025)