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Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation
Segmenting anatomical structures in medical images has been successfully addressed with deep learning methods for a range of …
Dec 1, 2020
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Model-Based and Data-Driven Strategies in Medical Image Computing
Jan 1, 2020
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A topological loss function for deep-learning based image segmentation using persistent homology
Jan 1, 2019
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Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning
Good quality of medical images is a prerequisite for the success of subsequent image analysis pipelines. Quality assessment of medical …
Jan 1, 2019
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Advances and Challenges in Deformable Image Registration: From Image Fusion to Complex Motion Modelling
Over the past 20 years, the field of medical image registration has significantly advanced from multi-modal image fusion to highly …
Oct 1, 2016
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MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration
Jan 1, 2012
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Automatic construction of 3-D statistical deformation models of the brain using nonrigid registration
Jan 1, 2003
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A generic framework for non-rigid registration based on non-uniform multi-level free-form deformations
Jan 1, 2001
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