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08/09/2023
Deep Learning-Based Prediction of Fractional Flow Reserve along the Coronary Artery
Functionally significant coronary artery disease (CAD) is caused by plaq...
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05/24/2022
Generative Models for Reproducible Coronary Calcium Scoring
Purpose: Coronary artery calcium (CAC) score, i.e. the amount of CAC qua...
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02/18/2022
Autoencoding Low-Resolution MRI for Semantically Smooth Interpolation of Anisotropic MRI
High-resolution medical images are beneficial for analysis but their acq...
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11/13/2020
Automatic segmentation with detection of local segmentation failures in cardiac MRI
Segmentation of cardiac anatomical structures in cardiac magnetic resona...
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10/25/2020
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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10/01/2020
Deep Group-wise Variational Diffeomorphic Image Registration
Deep neural networks are increasingly used for pair-wise image registrat...
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08/10/2020
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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07/10/2020
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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11/12/2019
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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11/12/2019
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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11/10/2019
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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08/27/2019
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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08/14/2019
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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06/28/2019
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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06/11/2019
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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02/12/2019
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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11/22/2018
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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10/24/2018
Generative adversarial networks and adversarial methods in biomedical image analysis
Generative adversarial networks (GANs) and other adversarial methods are...
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10/09/2018
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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10/07/2018
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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10/04/2018
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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09/27/2018
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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09/27/2018
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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09/17/2018
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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04/13/2018
CNN-based Landmark Detection in Cardiac CTA Scans
Fast and accurate anatomical landmark detection can benefit many medical...
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04/12/2018
Iterative fully convolutional neural networks for automatic vertebra segmentation
Precise segmentation of the vertebrae is often required for automatic de...
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04/12/2018
Blood Vessel Geometry Synthesis using Generative Adversarial Networks
Computationally synthesized blood vessels can be used for training and e...
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04/12/2018
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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12/08/2017
Direct and Real-Time Cardiovascular Risk Prediction
Coronary artery calcium (CAC) burden quantified in low-dose chest CT is ...
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11/24/2017
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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11/01/2017
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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08/03/2017
Deep MR to CT Synthesis using Unpaired Data
MR-only radiotherapy treatment planning requires accurate MR-to-CT synth...
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08/03/2017
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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04/11/2017
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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04/11/2017