66 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Stichting Haaglanden Medisch CentrumNL4 papers
- Universidade da CoruñaES4 papers
- Amsterdam University Medical CentersNL1 paper
- Delft University of TechnologyNL1 paper
- Elisabeth-TweeSteden ZiekenhuisNL1 paper
- Erasmus MCNL1 paper
- Hôpital LariboisièreFR1 paper
- IsalaNL1 paper
- Leiden University Medical CenterNL1 paper
- Maastricht UniversityNL1 paper
- Medical University of ViennaAT1 paper
- Neurological SurgeryUS1 paper
6 papers
Preoperative brain tumor imaging: models and software for segmentation and standardized reporting
D. Bouget, A. Pedersen, A. S. Jakola +27
For patients suffering from brain tumor, prognosis estimation and treatment decisions are made by a multidisciplinary team based on a set of preoperative MR scans. Currently, the l…
autoTICI: Automatic Brain Tissue Reperfusion Scoring on 2D DSA Images of Acute Ischemic Stroke Patients
Ruisheng Su, Sandra A. P. Cornelissen, Matthijs van der Sluijs +8
The Thrombolysis in Cerebral Infarction (TICI) score is an important metric for reperfusion therapy assessment in acute ischemic stroke. It is commonly used as a technical outcome…
Inter-database validation of a deep learning approach for automatic sleep scoring
Diego Alvarez-Estevez, Roselyne M. Rijsman
In this work we describe a new deep learning approach for automatic sleep staging, and carry out its validation by addressing its generalization capabilities on a wide range of sle…
Addressing database variability in learning from medical data: an ensemble-based approach using convolutional neural networks and a case of study applied to automatic sleep scoring
Diego Alvarez-Estevez, Isaac Fernández-Varela
In this work we examine some of the problems associated with the development of machine learning models with the objective to achieve robust generalization capabilities on common-t…
Uncertainty in Quantum Rule-Based Systems
Vicente Moret-Bonillo, Isaac Fernández-Varela, Diego Alvarez-Estevez
This article deals with the problem of the uncertainty in rule-based systems (RBS), but from the perspective of quantum computing (QC). In this work we first remember the character…
Large-scale validation of an automatic EEG arousal detection algorithm using different heterogeneous databases
Diego Alvarez-Estevez, Isaac Fernández-Varela
: To assess the validity of an automatic EEG arousal detection algorithm using large patient samples and different heterogeneous databases : A…