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Automatic segmentation with detection of local segmentation failures in cardiac MRI
Segmentation of cardiac anatomical structures in cardiac magnetic resona...
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Unsupervised Super-Resolution: Creating High-Resolution Medical Images from Low-Resolution Anisotropic Examples
Although high resolution isotropic 3D medical images are desired in clin...
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Deep Group-wise Variational Diffeomorphic Image Registration
Deep neural networks are increasingly used for pair-wise image registrat...
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Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images
In this study, we propose a fast and accurate method to automatically lo...
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Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT
Cardiovascular disease (CVD) is the global leading cause of death. A str...
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Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing
Response of breast cancer to neoadjuvant chemotherapy (NAC) can be monit...
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Automatic Segmentation of Thoracic Aorta Segments in Low-Dose Chest CT
Morphological analysis and identification of pathologies in the aorta ar...
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Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI
Current state-of-the-art deep learning segmentation methods have not yet...
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A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration
Image registration, the process of aligning two or more images, is the c...
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CNN-based Landmark Detection in Cardiac CTA Scans
Fast and accurate anatomical landmark detection can benefit many medical...
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Direct and Real-Time Cardiovascular Risk Prediction
Coronary artery calcium (CAC) burden quantified in low-dose chest CT is ...
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Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions
Heavy smokers undergoing screening with low-dose chest CT are affected b...
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