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Coronary Artery Centerline Extraction in Cardiac CT Angiography Using a CNN-Based Orientation Classifier
Jelmer M. Wolterink, Robbert W. van Hamersvelt, Max A. Viergever +2
Coronary artery centerline extraction in cardiac CT angiography (CCTA) images is a prerequisite for evaluation of stenoses and atherosclerotic plaque. We propose an algorithm that…
Direct Prediction of Cardiovascular Mortality from Low-dose Chest CT using Deep Learning
Sanne G. M. van Velzen, Majd Zreik, Nikolas Lessmann +4
Cardiovascular disease (CVD) is a leading cause of death in the lung cancer screening population. Chest CT scans made in lung cancer screening are suitable for identification of pa…
A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration
Bob D. de Vos, Floris F. Berendsen, Max A. Viergever +3
Image registration, the process of aligning two or more images, is the core technique of many (semi-)automatic medical image analysis tasks. Recent studies have shown that deep lea…
Automatic, fast and robust characterization of noise distributions for diffusion MRI
Samuel St-Jean, Alberto De Luca, Max A. Viergever +1
Knowledge of the noise distribution in magnitude diffusion MRI images is the centerpiece to quantify uncertainties arising from the acquisition process. The use of parallel imaging…
A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Plaque and Stenosis in Coronary CT Angiography
Majd Zreik, Robbert W. van Hamersvelt, Jelmer M. Wolterink +3
Various types of atherosclerotic plaque and varying grades of stenosis could lead to different management of patients with coronary artery disease. Therefore, it is crucial to dete…