162 citations
- Radboud University NijmegenNL17 papers
- Radboud University Medical CenterNL16 papers
- University Hospital and ClinicsUS6 papers
- Delft University of TechnologyNL4 papers
- Radboud Institute for Molecular Life SciencesNL4 papers
- Amsterdam UMC Location Vrije Universiteit AmsterdamNL3 papers
- Athinoula A. Martinos Center for Biomedical ImagingUS2 papers
- Imperial College LondonGB2 papers
- InsermFR2 papers
- Massachusetts General HospitalUS2 papers
- National Cancer InstituteUS2 papers
- The Netherlands Cancer InstituteNL2 papers
22 papers
A Multicentric Dataset for Training and Benchmarking Breast Cancer Segmentation in H&E Slides
Carlijn Lems, Leslie Tessier, John-Melle Bokhorst +18
Automated semantic segmentation of whole-slide images (WSIs) stained with hematoxylin and eosin (H&E) is essential for large-scale artificial intelligence-based biomarker analysis…
Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges
Lasse Hansen, Wiebke Heyer, Christoph Großbröhmer +51
Medical image registration is critical for clinical applications, and fair benchmarking of different methods is essential for monitoring ongoing progress in the field. To date, the…
Tackling paper mills requires us to prevent future contamination and clean up the past -- the case of the journal Bioengineered
Rene Aquarius, Elisabeth M. Bik, David Bimler +2
Introduction: Taylor & Francis journal Bioengineered has been targeted by paper mills. The goal of this study is to identify problematic articles published in Bioengineered during…
Reassessing prediction in the brain: Pre-onset neural encoding during natural listening does not reflect pre-activation
Sahel Azizpour, Britta U. Westner, Jakub Szewczyk +2
Predictive processing theories propose that the brain continuously anticipates upcoming input. However, direct neural evidence for predictive pre-activation during natural language…
Improve Cross-Modality Segmentation by Treating T1-Weighted MRI Images as Inverted CT Scans
Hartmut Häntze, Lina Xu, Maximilian Rattunde +5
Computed tomography (CT) segmentation models often contain classes that are not currently supported by magnetic resonance imaging (MRI) segmentation models. In this study, we show…
Towards participatory multi-modeling for policy support across domains and scales: a systematic procedure for integral multi-model design
Vittorio Nespeca, Rick Quax, Marcel G. M. Olde Rikkert +9
Policymaking for complex challenges such as pandemics necessitates the consideration of intricate implications across multiple domains and scales. Computational models can support…