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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Journal ArticleDOI
Design and Evaluation of an Antenna Applicator for a Microwave Colonoscopy System
M. Guardiola,K. Djafri,Mouloud Challal,Miguel Ángel González Ballester,Gloria Fernández-Esparrach,Oscar Camara,Jordi Romeu +6 more
TL;DR: In this article, the authors presented a design of a compact antenna applicator for a microwave colonoscopy system, which consists of one transmitting and one receiving cavity-backed U-shaped slot antenna elements fed by an L-shaped microstrip line.
Proceedings ArticleDOI
Cochlea segmentation using iterated random walks with shape prior
Esmeralda Ruiz Pujadas,Hans Martin Kjer,Sergio Vera,Mario Ceresa,Miguel Ángel González Ballester +4 more
TL;DR: A new framework for segmentation of µCT cochlear images using random walks where a region term is combined with a distance shape prior weighted by a confidence map to adjust its influence according to the strength of the image contour is proposed.
Journal ArticleDOI
EView: An electric field visualization web platform for electroporation-based therapies.
Enric Perera-Bel,Carlos Yagüe,Borja Mercadal,Mario Ceresa,Natalie Beitel-White,Rafael V. Davalos,Miguel Ángel González Ballester,Antoni Ivorra +7 more
TL;DR: EView is a web platform that estimates the electric field distribution for arbitrary needle electrode locations and orientations and overlays it on 3D medical images to provide expert and non-expert electroporation users a way to rapidly model the electric Field Distribution for arbitrary electrode configurations.
Proceedings ArticleDOI
A Radiomics Approach to Analyze Cardiac Alterations in Hypertension
Irem Cetin,Steffen E. Petersen,Sandy Napel,Oscar Camara,Miguel Ángel González Ballester,Karim Lekadir +5 more
TL;DR: In this article, a radiomics approach for identifying intermediate imaging phenotypes associated with hypertension is described, which combines feature selection and machine learning techniques to identify the most subtle as well as complex structural and tissue changes in hypertensive subgroups as compared to healthy individuals.
Book ChapterDOI
Generalized multiresolution hierarchical shape models via automatic landmark clusterization.
Juan J. Cerrolaza,Arantxa Villanueva,Mauricio Reyes,Rafael Cabeza,Miguel Ángel González Ballester,Marius George Linguraru +5 more
TL;DR: This paper introduces a new generalized multiresolution hierarchical PDM (GMRH-PDM) able to efficiently address the high-dimension-low-sample-size challenge when modeling complex structures.