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04/26/2023
Effect of latent space distribution on the segmentation of images with multiple annotations
We propose the Generalized Probabilistic U-Net, which extends the Probab...
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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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07/22/2021
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
With an increase in deep learning-based methods, the call for explainabi...
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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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11/10/2019
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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10/15/2019
Liver segmentation and metastases detection in MR images using convolutional neural networks
Primary tumors have a high likelihood of developing metastases in the li...
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10/11/2019
Generalized Richardson-Lucy (GRL) for analyzing multi-shell diffusion MRI data
Spherical deconvolution is a widely used approach to quantify fiber orie...
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10/01/2019
Harmonization of diffusion MRI datasets with adaptive dictionary learning
Diffusion weighted magnetic resonance imaging is a noninvasive imaging t...
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08/28/2019
SMART tracking: Simultaneous anatomical imaging and real-time passive device tracking for MR-guided interventions
Purpose: This study demonstrates a proof of concept of a method for simu...
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06/28/2019
Automated characterization of noise distributions in diffusion MRI data
Purpose: To understand and characterize noise distributions in parallel ...
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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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04/01/2019
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
Quantification of cerebral white matter hyperintensities (WMH) of presum...
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02/04/2019
Reducing variability in along-tract analysis with diffusion profile realignment
Diffusion weighted MRI (dMRI) provides a non invasive virtual reconstruc...
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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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09/17/2018
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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05/30/2018
Automatic, fast and robust characterization of noise distributions for diffusion MRI
Knowledge of the noise distribution in magnitude diffusion MRI images is...
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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
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
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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11/21/2014
