Majd Zreik
Majd Zreik
Image Sciences Institute, University Medical Center Utrecht and Utrecht University, Utrecht, The
Verified email at umcutrecht.nl - Homepage
Title
Cited by
Cited by
Year
Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis
M Zreik, N Lessmann, RW van Hamersvelt, JM Wolterink, M Voskuil, ...
Medical image analysis 44, 72-85, 2018
812018
Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions
N Lessmann, B van Ginneken, M Zreik, PA de Jong, BD de Vos, ...
IEEE transactions on medical imaging 37 (2), 615-625, 2018
722018
A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Plaque and Stenosis in Coronary CT Angiography
M Zreik, RW van Hamersvelt, JM Wolterink, T Leiner, MA Viergever, ...
IEEE Transactions on Medical Imaging, 2018
42*2018
Automatic segmentation of the left ventricle in cardiac CT angiography using convolutional neural networks
M Zreik, T Leiner, BD de Vos, RW van Hamersvelt, MA Viergever, I Išgum
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 40-43, 2016
282016
Deep learning analysis of left ventricular myocardium in CT angiographic intermediate-degree coronary stenosis improves the diagnostic accuracy for identification of …
RW van Hamersvelt, M Zreik, M Voskuil, MA Viergever, I Išgum, T Leiner
European radiology 29 (5), 2350-2359, 2019
272019
Method and system for assessing vessel obstruction based on machine learning
I Isgum, M Zreik, T Leiner
US Patent App. 10/176,575, 2019
10*2019
Footprints of cardiac mechanical activity as expressed in lung Doppler signals
Y Palti, R Schatzberger, M Zreik, E Solter, I Kronzon
Echocardiography 32 (3), 407-410, 2015
52015
Deep learning analysis of coronary arteries in cardiac CT angiography for detection of patients requiring invasive coronary angiography
M Zreik, RW van Hamersvelt, N Khalili, JM Wolterink, M Voskuil, ...
IEEE transactions on medical imaging, 2019
42019
Direct prediction of cardiovascular mortality from low-dose chest CT using deep learning
SGM van Velzen, M Zreik, N Lessmann, MA Viergever, PA de Jong, ...
Medical Imaging 2019: Image Processing 10949, 109490X, 2019
42019
The application of a real-time rapid-prototyping environment for the behavioral rehabilitation of a lost brain function in rats
R Prückl, E Grünbacher, R Ortner, AH Taub, R Hogri, A Magal, E Segalis, ...
2011 IEEE Symposium on Computational Intelligence, Cognitive Algorithms …, 2011
32011
Method and system for assessing vessel obstruction based on machine learning
I Isgum, M Zreik, T Leiner
US Patent App. 15/933,854, 2019
22019
Vertebra partitioning with thin-plate spline surfaces steered by a convolutional neural network
N Lessmann, JM Wolterink, M Zreik, MA Viergever, B van Ginneken, ...
arXiv preprint arXiv:1907.10978, 2019
12019
Method and System for Assessing Vessel Obstruction Based on Machine Learning
I Isgum, M Zreik, T Leiner
US Patent App. 16/241,165, 2019
12019
Improving myocardium segmentation in cardiac CT angiography using spectral information
S Bruns, JM Wolterink, RW van Hamersvelt, M Zreik, T Leiner, I Išgum
Medical Imaging 2019: Image Processing 10949, 109492M, 2019
12019
Detection of auditory stimulus onset in the pontine nucleus using a multichannel multi-unit activity electrode
M Zreik, Y Ben-Tsvi, A Taub, RO Almog, H Messer
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
12011
Machine learning for coronary artery disease analysis in cardiac CT
M Zreik
Utrecht University, 2020
2020
Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis
M Zreik, T Leiner, N Khalili, RW van Hamersvelt, JM Wolterink, M Voskuil, ...
arXiv preprint arXiv:1911.04940, 2019
2019
Method and System for Assessing Vessel Obstruction Based on Machine Learning
I Isgum, M Zreik, T Leiner
US Patent App. 16/508,996, 2019
2019
Method and System for Assessing Vessel Obstruction Based on Machine Learning
I Isgum, M Zreik, JP Aben
US Patent App. 16/379,248, 2019
2019
Generative adversarial network for segmentation of motion affected neonatal brain MRI
N Khalili, E Turk, M Zreik, MA Viergever, M Benders, I Išgum
International Conference on Medical Image Computing and Computer-Assisted …, 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–20