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07/27/2021
A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR
Multi-class segmentation of cardiac magnetic resonance (CMR) images seek...
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08/21/2020
A persistent homology-based topological loss function for multi-class CNN segmentation of cardiac MRI
With respect to spatial overlap, CNN-based segmentation of short axis ca...
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10/11/2019
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...
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10/11/2019
Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentatio
Segmenting anatomical structures in medical images has been successfully...
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10/04/2019
A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology
We introduce a method for training neural networks to perform image or v...
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09/24/2019
dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance
AUTOMAP is a promising generalized reconstruction approach, however, it ...
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08/28/2019
Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR Imaging
Accurately estimating and correcting the motion artifacts are crucial fo...
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08/23/2019
Topology-preserving augmentation for CNN-based segmentation of congenital heart defects from 3D paediatric CMR
Patient-specific 3D printing of congenital heart anatomy demands an accu...
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08/13/2019
Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders
Maintaining good cardiac function for as long as possible is a major con...
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06/14/2019
Global and Local Interpretability for Cardiac MRI Classification
Deep learning methods for classifying medical images have demonstrated i...
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05/17/2019
Mechanically Powered Motion Imaging Phantoms: Proof of Concept
Motion imaging phantoms are expensive, bulky and difficult to transport ...
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01/29/2019