194 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Consorci Institut D'Investigacions Biomediques August Pi I SunyerES9 papers
- Universitat de BarcelonaES9 papers
- Institució Catalana de Recerca i Estudis AvançatsES3 papers
- Technical University of MunichDE3 papers
- Acibadem City ClinicBG2 papers
- Artificial Intelligence in Medicine (Canada)CA2 papers
- Centro de Investigación en Red en Enfermedades CardiovascularesES2 papers
- Charité - Universitätsmedizin BerlinDE2 papers
- German Cancer Research CenterDE2 papers
- Heidelberg UniversityDE2 papers
- Imperial College LondonGB2 papers
- Karlsruhe Institute of TechnologyDE2 papers
12 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…
Machine Learning Prediction of Cardiovascular Risk in Type 1 Diabetes Mellitus Using Radiomics Features from Multimodal Retinal Images
Ariadna Tohà-Dalmau, Josep Rosinés-Fonoll, Enrique Romero +11
This study aimed to develop a machine learning (ML) algorithm capable of determining cardiovascular risk in multimodal retinal images from patients with type 1 diabetes mellitus, d…
Quantification of the Plan Aperture Modulation of Radiotherapy Treatment Plans
Victor Hernandez, Iñigo Lara-Aristimuño, Ruben Abella +1
This study introduces a novel metric, Plan Aperture Modulation (PAM), developed to quantify the modulation of radiotherapy treatment plans. PAM aims to provide a clear geometric in…
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…
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…
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…
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…
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…
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…
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…
Mapping physiological suitability limits of malaria in Africa under climate change
Sadie J. Ryan, Amy McNally, Leah R. Johnson +4
We mapped current and future temperature suitability for malaria transmission in Africa using a published model that incorporates nonlinear physiological responses to temperature o…
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…