31 citations · 36 across the 4 of their papers we have counts for
4 papers
Disentangling Sampling from Training Budget in Class-Imbalanced CT Body Composition Segmentation
Iason Skylitsis, Dimitrios Karkalousos, Ivana Išgum
Class imbalance is a fundamental challenge in medical image segmentation, where frequent classes typically dominate training at the expense of rare classes. Loss-based approaches m…
ATOMMIC: An Advanced Toolbox for Multitask Medical Imaging Consistency to facilitate Artificial Intelligence applications from acquisition to analysis in Magnetic Resonance Imaging
Dimitrios Karkalousos, Ivana Išgum, Henk A. Marquering +1
AI is revolutionizing MRI along the acquisition and processing chain. Advanced AI frameworks have been developed to apply AI in various successive tasks, such as image reconstructi…
Automatic Coronary Artery Plaque Quantification and CAD-RADS Prediction using Mesh Priors
Rudolf L. M. van Herten, Nils Hampe, Richard A. P. Takx +7
Coronary artery disease (CAD) remains the leading cause of death worldwide. Patients with suspected CAD undergo coronary CT angiography (CCTA) to evaluate the risk of cardiovascula…
Robust deformable image registration using cycle-consistent implicit representations
Louis D. van Harten, Jaap Stoker, Ivana Išgum
Recent works in medical image registration have proposed the use of Implicit Neural Representations, demonstrating performance that rivals state-of-the-art learning-based methods.…