Robbert W. van Hamersvelt

Orcid: 0000-0002-6084-0656

According to our database1, Robbert W. van Hamersvelt authored at least 12 papers between 2016 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2020
Deep Learning Analysis of Coronary Arteries in Cardiac CT Angiography for Detection of Patients Requiring Invasive Coronary Angiography.
IEEE Trans. Medical Imaging, 2020

Deep Learning from Dual-Energy Information for Whole-Heart Segmentation in Dual-Energy and Single-Energy Non-Contrast-Enhanced Cardiac CT.
CoRR, 2020

2019
A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Plaque and Stenosis in Coronary CT Angiography.
IEEE Trans. Medical Imaging, 2019

Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier.
Medical Image Anal., 2019

Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis.
CoRR, 2019

Deep learning analysis of cardiac CT angiography for detection of coronary arteries with functionally significant stenosis.
CoRR, 2019

Improving myocardium segmentation in cardiac CT angiography using spectral information.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

2018
Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis.
Medical Image Anal., 2018

Automatic Detection and Characterization of Coronary Artery Plaque and Stenosis using a Recurrent Convolutional Neural Network in Coronary CT Angiography.
CoRR, 2018

2017
Automatic Segmentation of the Left Ventricle in Cardiac CT Angiography Using Convolutional Neural Network.
CoRR, 2017

2016
Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks.
Medical Image Anal., 2016

Automatic segmentation of the left ventricle in cardiac CT angiography using convolutional neural networks.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016


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