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Gemma Piella
Researcher at Pompeu Fabra University
Publications - 158
Citations - 5510
Gemma Piella 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 143 publications receiving 4411 citations. Previous affiliations of Gemma Piella include Autonomous University of Barcelona & Polytechnic University of Catalonia.
Papers
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Proceedings ArticleDOI
Myocardial deformation from tagged MRI in hypertrophic cardiomyopathy using an efficient registration strategy
Gemma Piella,M. De Craene,Estanislao Oubel,Ignacio Larrabide,Marina Huguet,Bart Bijnens,Bart Bijnens,Alejandro F. Frangi +7 more
TL;DR: This paper combines different parallelization strategies for speeding up motion and deformation computation by non-rigid registration of a sequence of images to compare strain in healthy subjects and hypertrophic cardiomyopathy (HCM) patients.
Journal ArticleDOI
TTTS-STgan: Stacked Generative Adversarial Networks for TTTS Fetal Surgery Planning Based on 3D Ultrasound
Jordina Torrents-Barrena,Gemma Piella,Brenda Valenzuela-Alcaraz,Eduard Gratacós,Elisenda Eixarch,Mario Ceresa,Miguel Ángel González Ballester +6 more
TL;DR: A novel multi-task stacked generative adversarial framework is proposed to jointly learn synthetic fetal US generation, multi-class segmentation of the placenta, its inner acoustic shadows and peripheral vasculature, andplacenta shadowing removal and could be implemented in a TTTS fetal surgery planning software.
Journal ArticleDOI
Regulatory network-based model to simulate the biochemical regulation of chondrocytes in healthy and osteoarthritic environments
Maria Segarra-Queralt,Michael Neidlin,Laura Tío,Jordi Monfort,Joan Carles Monllau,Miguel Ángel González Ballester,Leonidas G. Alexopoulos,Gemma Piella,Jérôme Noailly +8 more
TL;DR: In this paper , a network-based model at the chondrocyte level was proposed to enable the semiquantitative interpretation of the intricate mechanisms of osteoarthritis progression, incorporating the complex ways in which inflammatory factors affect structural protein and protease expression and nociceptive signals.
Proceedings Article
A variational approach for image fusion visualization
TL;DR: A variational framework to perform the fusion of an arbitrary number of images while preserving the salient information and enhancing the contrast for visualization is proposed.
Proceedings ArticleDOI
Fetal MRI Synthesis via Balanced Auto-Encoder Based Generative Adversarial Networks
Jordina Torrents-Barrena,Gemma Piella,Narcís Masoller,Eduard Gratacós,Elisenda Eixarch,Mario Ceresa,Miguel Ángel González Ballester +6 more
TL;DR: An auto-encoder based Generative Adversarial Network is adopted for synthetic fetal MRI generation that features a balanced power of the discriminator against the generator during training, provides an approximate convergence measure, and enables fast and robust training to generate high-quality fetal MRI in axial, sagittal and coronal planes.