14 citations · 26 across the 6 of their papers we have counts for
4 papers · 1 filter
Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy
Laura Alvarez-Florez, Jörg Sander, Mimount Bourfiss +3
Quantification of cardiac motion with cine Cardiac Magnetic Resonance Imaging (CMRI) is an integral part of arrhythmogenic right ventricular cardiomyopathy (ARVC) diagnosis. Yet, t…
Future Unruptured Intracranial Aneurysm Growth Prediction using Mesh Convolutional Neural Networks
Kimberley M. Timmins, Maarten J. Kamphuis, Iris N. Vos +3
The growth of unruptured intracranial aneurysms (UIAs) is a predictor of rupture. Therefore, for further imaging surveillance and treatment planning, it is important to be able to…
Automatic Cerebral Vessel Extraction in TOF-MRA Using Deep Learning
V. de Vos, K. M. Timmins, I. C. van der Schaaf +3
Deep learning approaches may help radiologists in the early diagnosis and timely treatment of cerebrovascular diseases. Accurate cerebral vessel segmentation of Time-of-Flight Magn…
Variational Autoencoders with a Structural Similarity Loss in Time of Flight MRAs
Kimberley M. Timmins, Irene C. van der Schaaf, Ynte M. Ruigrok +2
Time-of-Flight Magnetic Resonance Angiographs (TOF-MRAs) enable visualization and analysis of cerebral arteries. This analysis may indicate normal variation of the configuration of…