Birgitta K. Velthuis

According to our database1, Birgitta K. Velthuis authored at least 21 papers between 2004 and 2023.

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

Timeline

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Links

On csauthors.net:

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

Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 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

Future Unruptured Intracranial Aneurysm Growth Prediction Using Mesh Convolutional Neural Networks.
Proceedings of the Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging, 2022

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

2015
Automated prediction of tissue outcome after acute ischemic stroke in computed tomography perfusion images.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Predicting stroke outcome using DCE-CT measured blood velocity.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015

A non-linear regression method for CT brain perfusion analysis.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015

2013
Combined pixel classification and atlas-based segmentation of the ventricular system in brain CT Images.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Automatic detection and segmentation of ischemic lesions in computed tomography images of stroke patients.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

Computer-aided diagnosis of acute ischemic stroke based on cerebral hypoperfusion using 4D CT angiography.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

2012
Intracranial aneurysm growth quantification in CTA.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

2006
Level set based cerebral vasculature segmentation and diameter quantification in CT angiography.
Medical Image Anal., 2006

2004
Skeletonization for reinitialization in level-set-based vascular tree segmentation.
Proceedings of the Medical Imaging 2004: Image Processing, 2004


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