36 citations
- Universitat Pompeu FabraES4 papers
- Hospital Del MarES3 papers
- Municipal Institute for Medical ResearchES3 papers
- Universitat Autònoma de BarcelonaES3 papers
- Ashford and St Peter's Hospitals NHS Foundation TrustGB1 paper
- Ashford HospitalGB1 paper
- Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
- Austin HealthAU1 paper
- Barnes-Jewish HospitalUS1 paper
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y DigestivasES1 paper
- Consejo Nacional de Investigaciones Científicas y TécnicasAR1 paper
- Consorci Institut D'Investigacions Biomediques August Pi I SunyerES1 paper
8 papers
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…
Brain volume: An important determinant of functional outcome after acute ischemic stroke
Markus D. Schirmer, Kathleen L. Donahue, Marco J. Nardin +38
Objective: To determine whether brain volume is associated with functional outcome after acute ischemic stroke (AIS). Methods: We analyzed cross-sectional data of the multi-site, i…
Soft-wired long-term memory in a natural recurrent neuronal network
Miguel A. Casal, Santiago Galella, Oscar Vilarroya +1
Neuronal networks provide living organisms with the ability to process information. They are also characterized by abundant recurrent connections, which give rise to strong feedbac…
Multi-Class Source-Channel Coding
Irina E. Bocharova, Albert Guillén i Fàbregas, Boris D. Kudryashov +3
This paper studies an almost-lossless source-channel coding scheme in which source messages are assigned to different classes and encoded with a channel code that depends on the cl…
Mining the modular structure of protein interaction networks
Ariel Berenstein, Janet Piñero, Laura Ines Furlong +1
Cluster-based descriptions of biological networks have received much attention in recent years fostered by accumulated evidence of the existence of meaningful correlations between…
Mapping eQTL networks with mixed graphical Markov models
Inma Tur, Alberto Roverato, Robert Castelo
Expression quantitative trait loci (eQTL) mapping constitutes a challenging problem due to, among other reasons, the high-dimensional multivariate nature of gene-expression traits.…