74 citations
- Assistance Publique – Hôpitaux de ParisFR1 paper
- Basque Center for Materials, Applications and NanostructuresES1 paper
- Brno University of TechnologyCZ1 paper
- CIC bioGUNEES1 paper
- CitigroupUS1 paper
- Consorci Institut D'Investigacions Biomediques August Pi I SunyerES1 paper
- Didcot Community HospitalGB1 paper
- Helmholtz-Zentrum Berlin für Materialien und EnergieDE1 paper
- Hospital Clínic de BarcelonaES1 paper
- Hospital Clínico Universitario Lozano BlesaES1 paper
- Hospital del Mar Research InstituteES1 paper
- Hospital de MataróES1 paper
5 papers
Configuration of the magnetosome chain: a natural magnetic nanoarchitecture
I. Orue, L. Marcano, P. Bender +10
Magnetospirillum gryphiswaldense is a microorganism with the ability to biomineralize magnetite nanoparticles, called magnetosomes, and arrange them into a chain that behaves like…
Designing an exploratory phase 2b platform trial in NASH with correlated, co-primary binary endpoints
Elias Laurin Meyer, Peter Mesenbrink, Nicholas A. Di Prospero +5
Non-alcoholic steatohepatitis (NASH) is the progressive form of nonalcoholic fatty liver disease (NAFLD) and a disease with high unmet medical need. Platform trials provide great b…
EndoMapper dataset of complete calibrated endoscopy procedures
Pablo Azagra, Carlos Sostres, Ángel Ferrandez +15
Computer-assisted systems are becoming broadly used in medicine. In endoscopy, most research focuses on the automatic detection of polyps or other pathologies, but localization and…
A multimodal approach for Parkinson disease analysis
Marcos Faundez-Zanuy, Antonio Satue-Villar, Jiri Mekyska +9
Parkinson's disease (PD) is the second most frequent neurodegenerative disease with prevalence among general population reaching 0.1-1 %, and an annual incidence between 1.3-2.0/10…
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…