145 citations
- University of AmsterdamNL17 papers
- Centrum Wiskunde & InformaticaNL4 papers
- Erasmus MCNL4 papers
- Amsterdam University Medical CentersNL3 papers
- Philips (Netherlands)NL3 papers
- Trinity College DublinIE3 papers
- University of TwenteNL3 papers
- Delft University of TechnologyNL2 papers
- Imperial College LondonGB2 papers
- Maastricht University Medical CentreNL2 papers
- Max Planck Institute for Solar System ResearchDE2 papers
- Technische Universität BraunschweigDE2 papers
27 papers
BIOMERO 2.0: end-to-end FAIR infrastructure for bioimaging data import, analysis, and provenance
Torec T. Luik, Joost de Folter, Rodrigo Rosas-Bertolini +3
We present BIOMERO 2.0, a major evolution of the BIOMERO framework that transforms OMERO into a FAIR-compliant (findable, accessible, interoperable, and reusable), provenance-aware…
Inducing Causal Structure for Interpretable Neural Networks Applied to Glucose Prediction for T1DM Patients
Ana Esponera, Giovanni Cinà
Causal abstraction techniques such as Interchange Intervention Training (IIT) have been proposed to infuse neural network with expert knowledge encoded in causal models, but their…
Fully automated landmarking and facial segmentation on 3D photographs
Bo Berends, Freek Bielevelt, Ruud Schreurs +3
Three-dimensional facial stereophotogrammetry provides a detailed representation of craniofacial soft tissue without the use of ionizing radiation. While manual annotation of landm…
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…
Automated Detection of Cribriform Growth Patterns in Prostate Histology Images
Pierre Ambrosini, Eva Hollemans, Charlotte F. Kweldam +3
Cribriform growth patterns in prostate carcinoma are associated with poor prognosis. We aimed to introduce a deep learning method to detect such patterns automatically. To do so, c…
Synthetic Elastography using B-mode Ultrasound through a Deep Fully-Convolutional Neural Network
R. R. Wildeboer, R. J. G. van Sloun, C. K. Mannaerts +5
Shear-wave elastography (SWE) permits local estimation of tissue elasticity, an important imaging marker in biomedicine. This recently-developed, advanced technique assesses the sp…