Contact model, fit process and, foot animation for the virtual simulator of the footwear comfort. - María José Rupérez; Carlos Monserrat; Sandra Alemany; M.-Carmen Juan; Mariano Alcañiz Raya (Comput. Aided Des., 2010)

Input Devices in Mental Health Applications: Steering Performance in a Virtual Reality Paths with WiiMote. - Maja Wrzesien; María José Rupérez; Mariano Alcañiz Raya (INTERACT (2), 2011)

Pneumoperitoneum Technique Simulation in Laparoscopic Surgery on Lamb Liver Samples and 3D Reconstruction. - Francisco Martínez-Martínez; María José Rupérez; Miguel A. Lago; Fernando López-Mir; Carlos Monserrat; Mariano Alcañiz Raya (MMVR, 2011)

A Study About Coefficients to Estimate the Error in Biomechanical Models Used to Virtually Simulate the Organ Behaviors. - Miguel A. Lago; Francisco Martínez-Martínez; María José Rupérez; Carlos Monserrat; Mariano Alcañiz Raya (MMVR, 2012)

MRI Skin Segmentation for the Virtual Deformation of the Breast under Mammographic Compression. - J. A. Solves Llorens; Carlos Monserrat; María José Rupérez; Valery Naranjo; M. Alajami; E. Feliu; M. García; M. Lloret (MMVR, 2012)

Simulation of the behavior of the calfskin used as shoe upper material in footwear CAD. - María José Rupérez; Eugenio Giner; Carlos Monserrat; Enrique Montiel (Comput. Aided Des., 2012)

Artificial neural networks for predicting dorsal pressures on the foot surface while walking. - María José Rupérez; José David Martín-Guerrero; Carlos Monserrat; Mariano Alcañiz Raya (Expert Syst. Appl., 2012)

Estimation of the elastic parameters of human liver biomechanical models by means of medical images and evolutionary computation. - Francisco Martínez-Martínez; María José Rupérez; José David Martín-Guerrero; Carlos Monserrat; Miguel A. Lago; E. Pareja; S. Brugger; R. López-Andújar (Comput. Methods Programs Biomed., 2013)

Genetic algorithms for estimating the biomechanical behavior of breast tissues. - Miguel A. Lago; María José Rupérez; Francisco Martínez-Martínez; Carlos Monserrat (BHI, 2014)

Machine learning for predicting astigmatism in patients with keratoconus after intracorneal ring implantation. - M. A. Valdés-Mas; José David Martín-Guerrero; María José Rupérez; Cristina Peris; Carlos Monserrat (BHI, 2014)

Markerless monocular tracking system for guided external eye surgery. - Carlos Monserrat Aranda; María José Rupérez; Mariano Alcañiz Raya; J. Mataix (Comput. Medical Imaging Graph., 2014)

A new approach based on Machine Learning for predicting corneal curvature (K1) and astigmatism in patients with keratoconus after intracorneal ring implantation. - M. A. Valdés-Mas; José David Martín-Guerrero; María José Rupérez; F. Pastor; C. Dualde; Carlos Monserrat; C. Peris-Martínez (Comput. Methods Programs Biomed., 2014)

Methodology based on genetic heuristics for in-vivo characterizing the patient-specific biomechanical behavior of the breast tissues. - Miguel A. Lago; María José Rupérez; Francisco Martínez-Martínez; Sandra Martínez-Sanchis; Predrag R. Bakic; Carlos Monserrat (Expert Syst. Appl., 2015)

A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learning. - Delia Lorente; Francisco Martínez-Martínez; María José Rupérez; Miguel A. Lago; Marcelino Martínez-Sober; Pablo Escandell-Montero; José María Martínez-Martínez; Sandra Martínez-Sanchis; Antonio J. Serrano-López; Carlos Monserrat Aranda; José David Martín-Guerrero (Expert Syst. Appl., 2017)

Prediction of osteoporotic hip fracture in postmenopausal women through patient-specific FE analyses and machine learning. - E. Villamor; Carlos Monserrat; L. Del Río; J. A. Romero-Martín; María José Rupérez (Comput. Methods Programs Biomed., 2020)

Real-time biomechanical modeling of the liver using Machine Learning models trained on Finite Element Method simulations. - Oscar J. Pellicer-Valero; María José Rupérez; Sandra Martínez-Sanchis; José David Martín-Guerrero (Expert Syst. Appl., 2020)

The integration of Transversal Competences in Higher Education in Engineering through e-learning tools. The case of the ETSII at the UPV. - José Felipe Villanueva López; María del Mar Eva Alemany Díaz; Ana Vallés-Lluch; Jorge García-Serra García F. Alarcón; D. Alfonso; V. Amigó; J. Andrés; F. Aparicio; P. Aragonés; M. Arroyo; M. J. Bastante; M. A. Bes; et al. (CINAIC, 2021)

Deep Learning for fully automatic detection, segmentation, and Gleason Grade estimation of prostate cancer in multiparametric Magnetic Resonance Images. - Oscar J. Pellicer-Valero; José L. Marenco Jiménez; Victor Gonzalez-Perez; Juan Luis Casanova Ramón-Borja; Isabel Martín García; María Barrios Benito; Paula Pelechano Gómez; José Rubio-Briones; María José Rupérez; José David Martín-Guerrero (CoRR, 2021)