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
Attri-VAE: attribute-based, disentangled and interpretable representations of medical images with variational autoencoders
TL;DR: A VAE approach that includes an attribute regularization term to associate clinical and medical imaging attributes with di ff erent regularized dimensions in the generated latent space, enabling a better disentangled interpretation of the attributes is proposed.
Posted Content
Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification.
TL;DR: In this article, the authors compared well-established Convolutional Neural Networks (CNNs) to recently introduced Vision Transformers for the task of diabetic foot Ulcer classification, in the context of the DFUC 2021 Grand-Challenge, in which this work attained the first position.
Journal ArticleDOI
Segmentation of the placenta and its vascular tree in Doppler ultrasound for fetal surgery planning
Enric Perera-Bel,Mario Ceresa,Jordina Torrents-Barrena,Narcís Masoller,Brenda Valenzuela-Alcaraz,Eduard Gratacós,Elisenda Eixarch,Miguel Ángel González Ballester +7 more
TL;DR: A semiautomatic algorithm to detect the placenta, both umbilical cord insertions and the placental vasculature from Doppler ultrasound and provides a near real-time user experience and requires short training without compromising the segmentation accuracy.
Book ChapterDOI
Hierarchical Shape Modeling of the Cochlea and Surrounding Risk Structures for Minimally Invasive Cochlear Implant Surgery
Juan J. Cerrolaza,Sergio Vera,Alexis Bagué,Mario Ceresa,Pablo Migliorelli,Marius George Linguraru,Miguel Ángel González Ballester +6 more
TL;DR: A Multiobject Hierarchical Statistical Shape Model (MO-SSM) based of wavelet decomposition is created from clinical cone-beam CT datasets of the inner, middle and outer auditory system and surrounding structures, allowing to quantify the relative position of risk structures in planning the intervention.
Book ChapterDOI
Surgical Workflow Analysis, Design and Development of an Image-Based Navigation System for Endoscopic Interventions
Frederic Perez,Sergio Vera,Gloria Fernández-Esparrach,Henry Córdova,Raúl San José Estépar,Javier Herrero Jover,Miguel Ángel González Ballester +6 more
TL;DR: The definition of clinical requirements and surgical workflow of abdominal endoscopic interventions are reported, and the design and implementation of a planning and navigation system based on open source libraries is presented, which is flexible and applicable to other types of interventions.