Max A. Viergever

is this you? claim profile

0 followers
Utrecht University ∙ UMC Utrecht

Featured Co-authors

Josef Kittler
58 publications
Sébastien Ourselin
57 publications
Jürgen Schmidhuber
55 publications
Bram van Ginneken
41 publications
Ivana Isgum
32 publications
M. Jorge Cardoso
30 publications
Ziyue Xu
28 publications
Hongwei Li
26 publications
Josien P. W. Pluim
23 publications
Jelmer M. Wolterink
21 publications
Mikhail Belyaev
20 publications

Explainable artificial intelligence (XAI) in deep learning-based medical image analysis

With an increase in deep learning-based methods, the call for explainabi...
07/22/2021 ∙ by Bas H. M. van der Velden, et al. ∙ 0 ∙ share

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it