Computational anatomy for multi-organ analysis in medical imaging: A review
The medical image analysis field has traditionally been focused on the development of
organ-, and disease-specific methods. Recently, the interest in the development of more …
organ-, and disease-specific methods. Recently, the interest in the development of more …
Fully automated, quality-controlled cardiac analysis from CMR: validation and large-scale application to characterize cardiac function
Objectives This study sought to develop a fully automated framework for cardiac function
analysis from cardiac magnetic resonance (CMR), including comprehensive quality control …
analysis from cardiac magnetic resonance (CMR), including comprehensive quality control …
Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality control
Abstract We introduce Bayesian QuickNAT for the automated quality control of whole-brain
segmentation on MRI T1 scans. Next to the Bayesian fully convolutional neural network, we …
segmentation on MRI T1 scans. Next to the Bayesian fully convolutional neural network, we …
[HTML][HTML] Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping
Recent developments in artificial intelligence have generated increasing interest to deploy
automated image analysis for diagnostic imaging and large-scale clinical applications …
automated image analysis for diagnostic imaging and large-scale clinical applications …
[HTML][HTML] 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 images is therefore an essential activity …
analysis pipelines. Quality assessment of medical images is therefore an essential activity …
Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study
Background The trend towards large-scale studies including population imaging poses new
challenges in terms of quality control (QC). This is a particular issue when automatic …
challenges in terms of quality control (QC). This is a particular issue when automatic …
Real-time prediction of segmentation quality
Recent advances in deep learning based image segmentation methods have enabled real-
time performance with human-level accuracy. However, occasionally even the best method …
time performance with human-level accuracy. However, occasionally even the best method …
Large-scale quality control of cardiac imaging in population studies: application to UK Biobank
In large population studies such as the UK Biobank (UKBB), quality control of the acquired
images by visual assessment is unfeasible. In this paper, we apply a recently developed …
images by visual assessment is unfeasible. In this paper, we apply a recently developed …
Quality control-driven image segmentation towards reliable automatic image analysis in large-scale cardiovascular magnetic resonance aortic cine imaging
Recent progress in fully-automated image segmentation has enabled efficient extraction of
clinical parameters in large-scale clinical imaging studies, reducing laborious manual …
clinical parameters in large-scale clinical imaging studies, reducing laborious manual …
Automated localization and quality control of the aorta in cine CMR can significantly accelerate processing of the UK Biobank population data
Introduction Aortic distensibility can be calculated using semi-automated methods to
segment the aortic lumen on cine CMR (Cardiovascular Magnetic Resonance) images …
segment the aortic lumen on cine CMR (Cardiovascular Magnetic Resonance) images …