818 citations
- Erasmus University RotterdamNL40 papers
- Delft University of TechnologyNL32 papers
- University of CopenhagenDK21 papers
- Eindhoven University of TechnologyNL14 papers
- Erasmus MC Cancer InstituteNL13 papers
- Amsterdam University Medical CentersNL8 papers
- Harvard UniversityUS8 papers
- Leiden University Medical CenterNL8 papers
- University of AmsterdamNL8 papers
- Radboud University Medical CenterNL7 papers
- Radboud University NijmegenNL7 papers
- University College LondonGB7 papers
8 papers · 1 filter
A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation
Robin Camarasa, Daniel Bos, Jeroen Hendrikse +4
Uncertainty assessment has gained rapid interest in medical image analysis. A popular technique to compute epistemic uncertainty is the Monte-Carlo (MC) dropout technique. From a n…
The Role of Cell-Matrix Interactions in Connective Tissue Mechanics
Iain Muntz, Michele Fenu, Gerjo J. V. M. van Osch +1
Living tissue is able to withstand large stresses in everyday life, yet it also actively adapts to dynamic loads. This remarkable mechanical behaviour emerges from the interplay be…
A Tutorial on Time-Dependent Cohort State-Transition Models in R using a Cost-Effectiveness Analysis Example
Fernando Alarid-Escudero, Eline M. Krijkamp, Eva A. Enns +4
In an introductory tutorial, we illustrated building cohort state-transition models (cSTMs) in R, where the state transitions probabilities were constant over time. However, in pra…
Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT
Gerda Bortsova, Daniel Bos, Florian Dubost +4
Purpose: To evaluate a fully-automated deep-learning-based method for assessment of intracranial carotid artery calcification (ICAC). Methods: Two observers manually delineated ICA…
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging
Richard Osuala, Kaisar Kushibar, Lidia Garrucho +6
Despite technological and medical advances, the detection, interpretation, and treatment of cancer based on imaging data continue to pose significant challenges. These include inte…
EDEN: A high-performance, general-purpose, NeuroML-based neural simulator
Sotirios Panagiotou, Harry Sidiropoulos, Mario Negrello +2
Modern neuroscience employs in silico experimentation on ever-increasing and more detailed neural networks. The high modelling detail goes hand in hand with the need for high model…