73 citations
- Universidad de ZaragozaES7 papers
- Instituto de Investigación en Ingeniería de AragónES3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Imperial College LondonGB2 papers
- Bernstein Center for Computational Neuroscience FreiburgDE1 paper
- Biomedical Research Networking Center in Bioengineering, Biomaterials and NanomedicineES1 paper
- Boston Children's HospitalUS1 paper
- Cardiff UniversityGB1 paper
- Center for International Forestry ResearchID1 paper
- Centre Hospitalier Annecy GenevoisFR1 paper
- Centre Hospitalier Universitaire de Saint-ÉtienneFR1 paper
- Centro de Investigación Biomédica en RedES1 paper
8 papers
The MYOSAIQ Challenge: Myocardial Segmentation with Automated Infarct Quantification
Olivier Bernard, William A. Romero R., Cyprien Bouton +24
Late gadolinium enhancement (LGE) cardiac magnetic resonance (MR) imaging is the modality of choice to assess myocardial infarction (MI) lesions. Nowadays MI volume quantification…
Enhancing material behavior discovery using embedding-oriented Physically-Guided Neural Networks with Internal Variables
Rubén Muñoz-Sierra, Manuel Doblaré, Jacobo Ayensa-Jiménez
Physically Guided Neural Networks with Internal Variables are SciML tools that use only observable data for training and and have the capacity to unravel internal state relations.…
Obstructive Sleep Apnea Characterization: A Multimodal Cross-Recurrence-Based Approach for Investigating Atrial Fibrillation
Mantas Rinkevičius, Jesús Lázaro, Eduardo Gil +4
Obstructive sleep apnea (OSA) is believed to contribute significantly to atrial fibrillation (AF) development in certain patients. Recent studies indicate a rising risk of AF with…
Peripheral brain interfacing: Reading high-frequency brain signals from the output of the nervous system
Jaime Ibáñez, Blanka Zicher, Etienne Burdet +3
Accurate and robust recording and decoding from the central nervous system (CNS) is essential for advances in human-machine interfacing. However, technologies used to directly meas…
ROBUSfT: Robust Real-Time Shape-from-Template, a C++ Library
Mohammadreza Shetab-Bushehri, Miguel Aranda, Youcef Mezouar +2
Tracking the 3D shape of a deforming object using only monocular 2D vision is a challenging problem. This is because one should (i) infer the 3D shape from a 2D image, which is a s…
FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier Convolutions
Bruno Berenguel-Baeta, Jesus Bermudez-Cameo, Jose J. Guerrero
In this work we present FreDSNet, a deep learning solution which obtains semantic 3D understanding of indoor environments from single panoramas. Omnidirectional images reveal task-…