Max A. Viergever

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Utrecht University ∙ UMC Utrecht

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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 ...
08/10/2020 ∙ by Steffen Bruns, et al. ∙ 0 ∙ share

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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...
07/10/2020 ∙ by Julia M. H. Noothout, et al. ∙ 49 ∙ share

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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...
11/10/2019 ∙ by Majd Zreik, et al. ∙ 24 ∙ share

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Liver segmentation and metastases detection in MR images using convolutional neural networks

Primary tumors have a high likelihood of developing metastases in the li...
10/15/2019 ∙ by Mariëlle J. A. Jansen, et al. ∙ 26 ∙ share

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Generalized Richardson-Lucy (GRL) for analyzing multi-shell diffusion MRI data

Spherical deconvolution is a widely used approach to quantify fiber orie...
10/11/2019 ∙ by Fenghua Guo, et al. ∙ 0 ∙ share

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Harmonization of diffusion MRI datasets with adaptive dictionary learning

Diffusion weighted magnetic resonance imaging is a noninvasive imaging t...
10/01/2019 ∙ by Samuel St-Jean, et al. ∙ 21 ∙ share

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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...
08/28/2019 ∙ by Frank Zijlstra, et al. ∙ 14 ∙ share

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Automated characterization of noise distributions in diffusion MRI data

Purpose: To understand and characterize noise distributions in parallel ...
06/28/2019 ∙ by Samuel St-Jean, et al. ∙ 0 ∙ share

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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...
06/11/2019 ∙ by Majd Zreik, et al. ∙ 7 ∙ share

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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...
04/01/2019 ∙ by Hugo J. Kuijf, et al. ∙ 0 ∙ share

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Reducing variability in along-tract analysis with diffusion profile realignment

Diffusion weighted MRI (dMRI) provides a non invasive virtual reconstruc...
02/04/2019 ∙ by Samuel St-Jean, et al. ∙ 0 ∙ share

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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...
10/07/2018 ∙ by Jelmer M. Wolterink, et al. ∙ 2 ∙ share

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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...
10/04/2018 ∙ by Sanne G. M. van Velzen, et al. ∙ 6 ∙ share

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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...
09/17/2018 ∙ by Bob D. de Vos, et al. ∙ 0 ∙ share

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Automatic, fast and robust characterization of noise distributions for diffusion MRI

Knowledge of the noise distribution in magnitude diffusion MRI images is...
05/30/2018 ∙ by Samuel St-Jean, et al. ∙ 0 ∙ share

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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...
04/12/2018 ∙ by Majd Zreik, et al. ∙ 0 ∙ share

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Direct and Real-Time Cardiovascular Risk Prediction

Coronary artery calcium (CAC) burden quantified in low-dose chest CT is ...
12/08/2017 ∙ by Bob D. de Vos, et al. ∙ 0 ∙ share

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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 ...
11/24/2017 ∙ by Majd Zreik, et al. ∙ 0 ∙ share

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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...
11/01/2017 ∙ by Nikolas Lessmann, et al. ∙ 0 ∙ share

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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...
08/03/2017 ∙ by Jelmer M. Wolterink, et al. ∙ 0 ∙ share

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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...
04/11/2017 ∙ by Pim Moeskops, et al. ∙ 0 ∙ share

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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 ...
04/11/2017 ∙ by Pim Moeskops, et al. ∙ 0 ∙ share

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Assessment of algorithms for mitosis detection in breast cancer histopathology images

The proliferative activity of breast tumors, which is routinely estimate...
11/21/2014 ∙ by Mitko Veta, et al. ∙ 0 ∙ share

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