176 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Universitat de BarcelonaES10 papers
- Hospital Clínic de BarcelonaES9 papers
- Institució Catalana de Recerca i Estudis AvançatsES9 papers
- Universitat Pompeu FabraES7 papers
- University of ZurichCH6 papers
- Centre d'Imagerie BioMedicaleCH4 papers
- Centre for Biomedical Network Research on Rare DiseasesES4 papers
- Hospital Sant Joan de Déu BarcelonaES4 papers
- Technical University of MunichDE4 papers
- University Children's Hospital ZurichCH4 papers
- University Hospital ZurichCH4 papers
- University of LausanneCH4 papers
21 papers
Volumetric Non-Invasive Cardiac Mapping for Accessible Global Arrhythmia Characterization
Jorge Vicente-Puig, Judit Chamorro-Servent, Ernesto Zacur +10
Cardiac arrhythmias are a major cause of morbidity and mortality increasing the risk of stroke, heart failure, and sudden cardiac death. Imageless electrocardiographic imaging (ECG…
Automatic quality control in multi-centric fetal brain MRI super-resolution reconstruction
Thomas Sanchez, Vladyslav Zalevskyi, Angeline Mihailov +7
Quality control (QC) has long been considered essential to guarantee the reliability of neuroimaging studies. It is particularly important for fetal brain MRI, where acquisitions a…
Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning
Filippo Corponi, Bryan M. Li, Gerard Anmella +13
Personal sensing, leveraging data passively and near-continuously collected with wearables from patients in their ecological environment, is a promising paradigm to monitor mood di…
FetMRQC: a robust quality control system for multi-centric fetal brain MRI
Thomas Sanchez, Oscar Esteban, Yvan Gomez +8
Fetal brain MRI is becoming an increasingly relevant complement to neurosonography for perinatal diagnosis, allowing fundamental insights into fetal brain development throughout ge…
FetMRQC: Automated Quality Control for fetal brain MRI
Thomas Sanchez, Oscar Esteban, Yvan Gomez +2
Quality control (QC) has long been considered essential to guarantee the reliability of neuroimaging studies. It is particularly important for fetal brain MRI, where large and unpr…
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma
Tirtha Chanda, Katja Hauser, Sarah Hobelsberger +32
Although artificial intelligence (AI) systems have been shown to improve the accuracy of initial melanoma diagnosis, the lack of transparency in how these systems identify melanoma…
Comparing apples to apples -- Using a modular and adaptable analysis pipeline to compare slow cerebral rhythms across heterogeneous datasets
Robin Gutzen, Giulia De Bonis, Chiara De Luca +11
Neuroscience is moving towards a more integrative discipline, where understanding brain function requires consolidating the accumulated evidence seen across experiments, species, a…
Fetal Brain Tissue Annotation and Segmentation Challenge Results
Kelly Payette, Hongwei Li, Priscille de Dumast +55
In-utero fetal MRI is emerging as an important tool in the diagnosis and analysis of the developing human brain. Automatic segmentation of the developing fetal brain is a vital ste…
XDEEP-MSI: Explainable Bias-Rejecting Microsatellite Instability Deep Learning System In Colorectal Cancer
Aurelia Bustos, Artemio Payá, Andres Torrubia +5
We present a system for the prediction of microsatellite instability (MSI) from H&E images of colorectal cancer using deep learning (DL) techniques customized for tissue microarray…
Feedforward and feedback influences through distinct frequency bands between two spiking-neuron networks
Leonardo Dalla Porta, Daniel M. Castro, Mauro Copelli +2
Several studies with brain signals suggested that bottom-up and top-down influences are exerted through distinct frequency bands among visual cortical areas. It has been recently s…
The Federated Tumor Segmentation (FeTS) Challenge
Sarthak Pati, Ujjwal Baid, Maximilian Zenk +29
This manuscript describes the first challenge on Federated Learning, namely the Federated Tumor Segmentation (FeTS) challenge 2021. International challenges have become the standar…
Exact edge landing probability for the bouncing coin toss and the three-sided die problem
Lluís Hernández-Navarro, Jordi Piñero
Have you ever taken a disputed decision by tossing a coin and checking its landing side? This ancestral "heads or tails" practice is still widely used when facing undecided alterna…
Handling confounding variables in statistical shape analysis -- application to cardiac remodelling
Gabriel Bernardino, Oualid Benkarim, María Sanz-de la Garza +7
Statistical shape analysis is a powerful tool to assess organ morphologies and find shape changes associated to a particular disease. However, imbalance in confounding factors, suc…
Volumetric parcellation of the right ventricle for regional geometric and functional assessment
Gabriel Bernardino, Amir Hodzic, Helene Langet +5
3D echocardiography is an increasingly popular tool for assessing cardiac remodelling in the right ventricle (RV). It allows quantification of the cardiac chambers without any geom…
Present criteria for prophylactic ICD implantation: Insights from the EU-CERT-ICD (Comparative Effectiveness Research to Assess the Use of Primary ProphylacTic Implantable Cardioverter Defibrillators in EUrope) project
M. Zabel, S. Schlögl, A. Lubinski +45
BACKGROUND. The clinical effectiveness of primary prevention implantable cardioverter defibrillator (ICD) therapy is under debate. It is urgently needed to better identify patients…
Slow Waves Analysis Pipeline for extracting the Features of the Bi-Modality from the Cerebral Cortex of Anesthetized Mice
Giulia De Bonis, Miguel Dasilva, Antonio Pazienti +3
Cortical slow oscillations are an emergent property of the cortical network, a hallmark of low complexity brain states like sleep, and represent a default activity pattern. Here, w…
Scaling of a large-scale simulation of synchronous slow-wave and asynchronous awake-like activity of a cortical model with long-range interconnections
Elena Pastorelli, Cristiano Capone, Francesco Simula +4
Cortical synapse organization supports a range of dynamic states on multiple spatial and temporal scales, from synchronous slow wave activity (SWA), characteristic of deep sleep or…
Hybridization-controlled charge transfer and induced magnetism at correlated oxide interfaces
M. N. Grisolia, J. Varignon, G. Sanchez-Santolino +11
At interfaces between conventional materials, band bending and alignment are classically controlled by differences in electrochemical potential. Applying this concept to oxides in…
Collective Stochastic Coherence in Recurrent Neuronal Networks
Belen Sancristobal, Beatriz Rebollo, Pol Boada +2
Recurrent networks of dynamic elements frequently exhibit emergent collective oscillations, which can display substantial regularity even when the individual elements are considera…
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images
David Vázquez, Jorge Bernal, F. Javier Sánchez +5
Colorectal cancer (CRC) is the third cause of cancer death worldwide. Currently, the standard approach to reduce CRC-related mortality is to perform regular screening in search for…
Switcher-random-walks: a cognitive-inspired mechanism for network exploration
Joaquín Goñi, Iñigo Martincorena, Bernat Corominas-Murtra +3
Semantic memory is the subsystem of human memory that stores knowledge of concepts or meanings, as opposed to life specific experiences. The organization of concepts within semanti…