Ynte M. Ruigrok

Orcid: 0000-0002-5396-2989

According to our database1, Ynte M. Ruigrok authored at least 11 papers between 2021 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Geometric Deep Learning Using Vascular Surface Meshes for Modality-Independent Unruptured Intracranial Aneurysm Detection.
IEEE Trans. Medical Imaging, November, 2023

Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA.
CoRR, 2023

Calibration techniques for node classification using graph neural networks on medical image data.
Proceedings of the Medical Imaging with Deep Learning, 2023

2022
Assessment of manual and automated intracranial artery diameter measurements.
Proceedings of the Medical Imaging 2022: Image Perception, 2022

Improving automated intracranial artery labeling using atlas-based features in graph convolutional nets.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Deep learning with vessel surface meshes for intracranial aneurysm detection.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

Relationship between diameter asymmetry of the anterior cerebral arteries of the Circle of Willis and asymmetry in diameters and blood flow of the upstream vasculature: preliminary results.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

2021
Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge.
NeuroImage, 2021

Automatic cerebral vessel extraction in TOF-MRA using deep learning.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Variational autoencoders with a structural similarity loss in time of flight MRAs.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Developing clinical prediction models using primary care electronic health record data - the impact of methodological choices on model performance.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021


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