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03/25/2023
Explainable Image Quality Assessment for Medical Imaging
Medical image quality assessment is an important aspect of image acquisi...
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02/22/2023
Semi-Supervised Segmentation of Multi-vendor and Multi-center Cardiac MRI using Histogram Matching
Automatic segmentation of the heart cavity is an essential task for the ...
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09/20/2022
Detecting respiratory motion artefacts for cardiovascular MRIs to ensure high-quality segmentation
While machine learning approaches perform well on their training domain,...
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08/11/2022
Shifted Windows Transformers for Medical Image Quality Assessment
To maintain a standard in a medical imaging study, images should have ne...
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05/02/2022
A Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis
Cine cardiac magnetic resonance (CMR) imaging is considered the gold sta...
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01/10/2022
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images
Assessment of myocardial viability is essential in diagnosis and treatme...
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01/19/2021
A survey on shape-constraint deep learning for medical image segmentation
Since the advent of U-Net, fully convolutional deep neural networks and ...
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12/02/2020
Channel Attention Networks for Robust MR Fingerprinting Matching
Magnetic Resonance Fingerprinting (MRF) enables simultaneous mapping of ...
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07/05/2020
Transfer Learning for Electricity Price Forecasting
Electricity price forecasting is an essential task for all the deregulat...
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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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08/13/2019
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
Explicit topological priors for deep-learning based image segmentation using persistent homology
We present a novel method to explicitly incorporate topological prior kn...
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12/19/2018
Magnetic Resonance Fingerprinting using Recurrent Neural Networks
Magnetic Resonance Fingerprinting (MRF) is a new approach to quantitativ...
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08/15/2018