Real-time biomechanical modeling of the liver using Machine Learning models trained on Finite Element Method simulations

Autor: Oscar J. Pellicer-Valero, José D. Martín-Guerrero, S. Martínez-Sanchis, M. J. Rupérez

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname

[EN] The development of accurate real-time models of the biomechanical behavior of different organs and tissues still poses a challenge in the field of biomechanical engineering. In the case of the liver, specifically, such a model would constitute a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c76921cca24010a7744471bc142750f4
https://doi.org/10.1016/j.eswa.2019.113083

Risk Assessment of Hip Fracture Based on Machine Learning

Autor: Eduardo Villamor, M. J. Rupérez, Carlos Monserrat, Alessio Galassi, José D. Martín-Guerrero

Publikováno v: Applied Bionics and Biomechanics, Vol 2020 (2020)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Applied Bionics and Biomechanics

[EN] Identifying patients with high risk of hip fracture is a great challenge in osteoporosis clinical assessment. Bone Mineral Density (BMD) measured by Dual-Energy X-Ray Absorptiometry (DXA) is the current gold standard in osteoporosis clinical ass

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e688034680198960819a3296fd15d4d
https://doaj.org/article/4c13d71febea4559ac828e66659f2517

Segmentation of the Breast Skin and Its Influence in the Simulation of the Breast Compression during an X-Ray Mammography

Autor: J. A. Solves Llorens, M. J. Rupérez, C. Monserrat, E. Feliu, M. García, M. Lloret

Publikováno v: The Scientific World Journal, Vol 2012 (2012)

A novel method of skin segmentation is presented aimed to obtain as many pixels belonging to the real skin as possible. This method is validated by experts in radiology. In addition, a biomechanical model of the breast, which considers the skin segme

Externí odkaz: https://doaj.org/article/14acfc61c2844c74bb64d3b8bc274e24

Robust Resolution-Enhanced Prostate Segmentation in Magnetic Resonance and Ultrasound Images through Convolutional Neural Networks

Autor: Paula Pelechano Gómez, Juan Casanova Ramón-Borja, Victor Gonzalez-Perez, Oscar J. Pellicer-Valero, José D. Martín-Guerrero, María Barrios Benito, José Rubio-Briones, Isabel Martín García, M. J. Rupérez

Publikováno v: Applied Sciences, Vol 11, Iss 844, p 844 (2021)
Applied Sciences
Volume 11
Issue 2
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname

[EN] Prostate segmentations are required for an ever-increasing number of medical applications, such as image-based lesion detection, fusion-guided biopsy and focal therapies. However, obtaining accurate segmentations is laborious, requires expertise

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d75d3225f715511cbdf8e742dd054cb
https://doi.org/10.3390/app11020844

Markerless monocular tracking system for guided external eye surgery

Autor: Mariano Alcañiz, Carlos Monserrat, M. J. Rupérez, Jorge Mataix

Publikováno v: COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
r-FISABIO: Repositorio Institucional de Producción Científica
Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
r-FISABIO. Repositorio Institucional de Producción Científica

This paper presents a novel markerless monocular tracking system aimed at guiding ophthalmologists during external eye surgery. This new tracking system performs a very accurate tracking of the eye by detecting invariant points using only textures th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb37231f7510bae497a7b4efa8ee386b
https://doi.org/10.1016/j.compmedimag.2014.08.001