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Intracranial aneurysm growth quantification in CTA.

, , , , , , , and . Medical Imaging: Image Processing, volume 8314 of SPIE Proceedings, page 831448. SPIE, (2012)

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Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy., , , , , and . STACOM@MICCAI, volume 14507 of Lecture Notes in Computer Science, page 25-34. Springer, (2023)Future Unruptured Intracranial Aneurysm Growth Prediction Using Mesh Convolutional Neural Networks., , , , , and . EPIMI/ML-CDS@MICCAI, volume 13755 of Lecture Notes in Computer Science, page 103-112. Springer, (2022)Automated prediction of tissue outcome after acute ischemic stroke in computed tomography perfusion images., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9414 of SPIE Proceedings, page 941412. SPIE, (2015)Automatic detection and segmentation of ischemic lesions in computed tomography images of stroke patients., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 8670 of SPIE Proceedings, page 867013. SPIE, (2013)Calibration techniques for node classification using graph neural networks on medical image data., , , , and . MIDL, volume 227 of Proceedings of Machine Learning Research, page 1211-1224. PMLR, (2023)A non-linear regression method for CT brain perfusion analysis., , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 9417 of SPIE Proceedings, page 94171Q. SPIE, (2015)Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge., , , , , , , , , and 28 other author(s). NeuroImage, (2021)Variational autoencoders with a structural similarity loss in time of flight MRAs., , , , and . Medical Imaging: Image Processing, volume 11596 of SPIE Proceedings, SPIE, (2021)Automatic cerebral vessel extraction in TOF-MRA using deep learning., , , , , and . Medical Imaging: Image Processing, volume 11596 of SPIE Proceedings, SPIE, (2021)Improving automated intracranial artery labeling using atlas-based features in graph convolutional nets., , , , and . Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)