M
Miguel Ángel González Ballester
Researcher at Pompeu Fabra University
Publications - 218
Citations - 4320
Miguel Ángel González Ballester is an academic researcher from Pompeu Fabra University. The author has contributed to research in topics: Computer science & Segmentation. The author has an hindex of 25, co-authored 194 publications receiving 2913 citations. Previous affiliations of Miguel Ángel González Ballester include T-Systems & Catalan Institution for Research and Advanced Studies.
Papers
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Book ChapterDOI
Patient Specific Simulation for Planning of Cochlear Implantation Surgery
Sergio Vera,Frederic Perez,Clara Balust,Ramon Trueba,Jordi Rubió,Raul Calvo,Xavier Mazaira,Anandhan Danasingh,Livia Barazzetti,Mauricio Reyes,Mario Ceresa,Jens Fagertum,Hans Martin Kjer,Rasmus Reinhold Paulsen,Miguel Ángel González Ballester,Miguel Ángel González Ballester +15 more
TL;DR: A software application for planning cochlear implantation procedures that includes patient- specific anatomy estimation using high resolution models, implant optimization for patient-specific implant selection, simulation of mechanical and electrical properties of the implant as well as clinical reporting is presented.
Proceedings ArticleDOI
Assessing the feasibility of ultrasound-initialized deformable bone models
TL;DR: It was determined that the primary factor for poor ultrasound performance was the inaccurate localization of the three initial landmarks, which are used for the statistical shape model.
Book ChapterDOI
Surgical Planning and Patient-Specific Biomechanical Simulation for Tracheal Endoprostheses Interventions
Miguel Ángel González Ballester,Amaya Pérez del Palomar,José Luis López Villalobos,Laura Lara Rodríguez,O. Trabelsi,Frederic Perez,Angel Ginel Cañamaque,Emilia Barrot Cortés,Francisco Rodríguez Panadero,Manuel Doblaré Castellano,Javier Herrero Jover +10 more
TL;DR: A system for computer-assisted surgical planning of tracheal surgeries allows to plan the intervention based on CT images of the patient, and includes a virtual database of commercially available prostheses, and builds a patient-specific biomechanical model for simulation of the expected performance of the implant under physiological movement.
Journal ArticleDOI
SYLVIUS: A multimodal and multidisciplinary platform for epilepsy surgery
Alfredo Higueras-Esteban,Ignacio Delgado-Martínez,Laura Serrano,Alessandro Principe,Carmen Perez Enriquez,Miguel Ángel González Ballester,Rodrigo Rocamora,Gerardo Conesa,Luis Serra +8 more
TL;DR: The SYLVIUS platform as discussed by the authors is a software platform intended to facilitate and improve the complex workflow required to diagnose and surgically treat drug-resistant epilepsies, in which additional invasive information from exploration with stereoencephalography (SEEG) with deep electrodes may be needed to ensure diagnostic efficacy and surgical safety.
Posted Content
Efficient Column Generation for Cell Detection and Segmentation.
TL;DR: This work proposes a column generation formulation where the pricing program is solved via exact optimization of very small scale integer programs to solve the problem of instance segmentation in biological images with crowded and compact cells.