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Dr David Rivest-Hénault

Dr David Rivest-Hénault

Position:

  • Post Doctoral Research Fellow, CSIRO, ICT

Credentials:

  • PhD, medical image processing at University of Quebec, Ecole de technology superieure

Biography:

Dr Rivest-Hénault received his B.Eng. with highest honours in automation engineering from University of Quebec’s École de technologie supérieure, Montreal, in 2005.

He then joined the Synchromedia Laboratory for multimedia communication in telepresence with scholarships from both NSERC and FQRNT, and received his Ph.D. with highest honours in 2012.

He was a visiting researcher at Siemens Corporate Research, Princeton, NJ, in 2010, and a software expert in a computer vision startup, C-Tec, Laval, Québec (2004-2010).

Dr Rivest-Hénault is now a Postdoctoral Fellow at CSIRO, The Australian e-Health Research Centre, Royal Brisbane and Women's Hospital, where he is working on imaging methods for MR-based planning and adaptive prostate radiation therapy.

Best publications:

David Rivest-Hénault, Nicholas Dowson, Peter Greer and Jason Dowling, "Symmetric affine registration of CT and MR pelvis scans for MR-based planning and adaptive prostate radiation therapy." ICCR 2013 (Accepted)

D. Rivest-Hénault and M. Cheriet, "Vessel detection filter via structure-ball analysis." IEEE Transactions on Image Processing (Accepted, availlable online).

Rivest-Hénault D, Sundar H, Cheriet M. "Non-Rigid 2D/3D Registration of Coronary Artery Models with Live Fluoroscopy for Guidance of Cardiac Interventions." IEEE Transaction on Medical Imaging. 2012 Aug;31(8):1557-72.

J. Couet, D. Rivest-Hénault, J. Miró, C. Lapierre, L. Duong and M. Cheriet, "Intensity-based 3D/2D registration for percutaneous intervention of major aorto-pulmonary collateral arteries," SPIE Medical Imaging 2012.

Rivest-Hénault D, Cheriet M. "Unsupervised MRI Segmentation of Brain Tissues Using a Local Linear Model and Level Set." Elsevier Journal of Magnetic Resonance Imaging. 2011;29(2):243-259.

Electron density estimation from MR acquisition, Bias field correction, Image registration, Robust image registration, Non-rigid image registration, Image segmentation, Detection of structures in 3D medical images, Atlas-based segmentation, Multi-atlas registration.

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