Majd Zreik

According to our database, Majd Zreik authored at least 15 papers between 2011 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis.

Majd Zreik, Nils Hampe, Tim Leiner, Nadih Khalili, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Ivana Isgum

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

2020

Deep Learning Analysis of Coronary Arteries in Cardiac CT Angiography for Detection of Patients Requiring Invasive Coronary Angiography.

Majd Zreik, Robbert W. van Hamersvelt, Nadieh Khalili, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Tim Leiner, Ivana Isgum

IEEE Trans. Medical Imaging, 2020

2019

A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Plaque and Stenosis in Coronary CT Angiography.

Majd Zreik, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum

IEEE Trans. Medical Imaging, 2019

Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis.

Majd Zreik, Tim Leiner, Nadieh Khalili, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Ivana Isgum

CoRR, 2019

Deep learning analysis of cardiac CT angiography for detection of coronary arteries with functionally significant stenosis.

Majd Zreik, Robbert W. van Hamersvelt, Nadieh Khalili, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Tim Leiner, Ivana Isgum

CoRR, 2019

Direct prediction of cardiovascular mortality from low-dose chest CT using deep learning.

Sanne G. M. van Velzen, Majd Zreik, Nikolas Leßmann, Max A. Viergever, Pim A. de Jong, Helena M. Verkooijen, Ivana Isgum

Proceedings of the Medical Imaging 2019: Image Processing, 2019

Improving myocardium segmentation in cardiac CT angiography using spectral information.

Steffen Bruns, Jelmer M. Wolterink, Robbert W. van Hamersvelt, Majd Zreik, Tim Leiner, Ivana Isgum

Proceedings of the Medical Imaging 2019: Image Processing, 2019

Generative Adversarial Network for Segmentation of Motion Affected Neonatal Brain MRI.

Nadieh Khalili, Elise Turk, Majd Zreik, Max A. Viergever, Manon J. N. L. Benders, Ivana Isgum

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions.

Nikolas Leßmann, Bram van Ginneken, Majd Zreik, Pim A. de Jong, Bob D. de Vos, Max A. Viergever, Ivana Isgum

IEEE Trans. Medical Imaging, 2018

Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis.

Majd Zreik, Nikolas Leßmann, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Tim Leiner, Ivana Isgum

Medical Image Anal., 2018

Automatic Detection and Characterization of Coronary Artery Plaque and Stenosis using a Recurrent Convolutional Neural Network in Coronary CT Angiography.

Majd Zreik, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum

CoRR, 2018

2017

Automatic Segmentation of the Left Ventricle in Cardiac CT Angiography Using Convolutional Neural Network.

Majd Zreik, Tim Leiner, Bob D. de Vos, Robbert W. van Hamersvelt, Max A. Viergever, Ivana Isgum

CoRR, 2017

2016

Automatic segmentation of the left ventricle in cardiac CT angiography using convolutional neural networks.

Majd Zreik, Tim Leiner, Bob D. de Vos, Robbert W. van Hamersvelt, Max A. Viergever, Ivana Isgum

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2011

Detection of auditory stimulus onset in the Pontine Nucleus using a multichannel multi-unit activity electrode.

Majd Zreik, Ytai Ben-Tsvi, Aryeh Taub, Rakefet Ofek Almog, Hagit Messer

Proceedings of the IEEE International Conference on Acoustics, 2011

The application of a real-time rapid-prototyping environment for the behavioral rehabilitation of a lost brain function in rats.

Robert Prückl, Engelbert Grünbacher, Rupert Ortner, Aryeh Taub, Roni Hogri, Ari Magal, Eyal Segalis, Majd Zreik, Nir Nossenson, Ivan Herreros, Andrea Giovannucci, Rakefet Ofek Almog, Simeon A. Bamford, Mira Marcus-Kalish, Yosi Shacham, Paul F. M. J. Verschure, Hagit Messer, Matti Mintz, Josef Scharinger, Angela Silmon, Christoph Guger

Proceedings of the 2011 IEEE Symposium on Computational Intelligence, 2011