Reinhard Hameeteman

According to our database1, Reinhard Hameeteman authored at least 12 papers between 2008 and 2015.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2015
Semi-automatic MRI segmentation and volume quantification of intra-plaque hemorrhage.
Int. J. Comput. Assist. Radiol. Surg., 2015

2013
Automatic carotid artery distensibility measurements from CTA using nonrigid registration.
Medical Image Anal., 2013

2012
Semiautomatic carotid lumen segmentation for quantification of lumen geometry in multispectral MRI.
Medical Image Anal., 2012

Lumen segmentation of atherosclerotic carotid arteries in CTA.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading.
Medical Image Anal., 2011

Multispectral MRI centerline tracking in carotid arteries.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

2010
Segmentation of the Outer Vessel Wall of the Common Carotid Artery in CTA.
IEEE Trans. Medical Imaging, 2010

Robust CTA lumen segmentation of the atherosclerotic carotid artery bifurcation in a large patient population.
Medical Image Anal., 2010

A Semi-automatic Method for Segmentation of the Carotid Bifurcation and Bifurcation Angle Quantification on Black Blood MRA.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Automated carotid artery distensibility measurements from CTA using nonrigid registration.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
Cerebellum Segmentation in MRI Using Atlas Registration and Local Multi-Scale Image Descriptors.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008
Volume preserving image registration via a post-processing stage.
Proceedings of the Medical Imaging 2008: Image Processing, 2008


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