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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 from Dual-Energy Information for Whole-Heart Segmentation in Dual-Energy and Single-Energy Non-Contrast-Enhanced Cardiac CT
Deep learning-based whole-heart segmentation in coronary CT angiography ...
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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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Automatic Online Quality Control of Synthetic CTs
Accurate MR-to-CT synthesis is a requirement for MR-only workflows in ra...
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Exploiting Clinically Available Delineations for CNN-based Segmentation in Radiotherapy Treatment Planning
Convolutional neural networks (CNNs) have been widely and successfully u...
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Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis
Treatment of patients with obstructive coronary artery disease is guided...
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3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations
We propose a supervised nonrigid image registration method, trained usin...
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Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography
Detection of coronary artery stenosis in coronary CT angiography (CCTA) ...
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Adversarial optimization for joint registration and segmentation in prostate CT radiotherapy
Joint image registration and segmentation has long been an active area o...
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Deep learning analysis of cardiac CT angiography for detection of coronary arteries with functionally significant stenosis
In patients with obstructive coronary artery disease, the functional sig...
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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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Generative adversarial networks and adversarial methods in biomedical image analysis
Generative adversarial networks (GANs) and other adversarial methods are...
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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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Coronary Artery Centerline Extraction in Cardiac CT Angiography Using a CNN-Based Orientation Classifier
Coronary artery centerline extraction in cardiac CT angiography (CCTA) i...
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Direct Prediction of Cardiovascular Mortality from Low-dose Chest CT using Deep Learning
Cardiovascular disease (CVD) is a leading cause of death in the lung can...
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Improving Myocardium Segmentation in Cardiac CT Angiography using Spectral Information
Accurate segmentation of the left ventricle myocardium in cardiac CT ang...
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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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Iterative fully convolutional neural networks for automatic vertebra segmentation
Precise segmentation of the vertebrae is often required for automatic de...
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Blood Vessel Geometry Synthesis using Generative Adversarial Networks
Computationally synthesized blood vessels can be used for training and e...
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Automatic Detection and Characterization of Coronary Artery Plaque and Stenosis using a Recurrent Convolutional Neural Network in Coronary CT Angiography
Different types of atherosclerotic plaque and varying grades of stenosis...
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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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Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis
In patients with coronary artery stenoses of intermediate severity, the ...
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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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Deep MR to CT Synthesis using Unpaired Data
MR-only radiotherapy treatment planning requires accurate MR-to-CT synth...
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Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images
Segmentation of the heart in cardiac cine MR is clinically used to quant...
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Deep Learning for Multi-Task Medical Image Segmentation in Multiple Modalities
Automatic segmentation of medical images is an important task for many c...
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Automatic segmentation of MR brain images with a convolutional neural network
Automatic segmentation in MR brain images is important for quantitative ...
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