Victor Villemagne

Orcid: 0000-0002-5832-9875

According to our database1, Victor Villemagne authored at least 22 papers between 2007 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
β-amyloid PET harmonisation across longitudinal studies: Application to AIBL, ADNI and OASIS3.
NeuroImage, 2022

PET image harmonization using smoothing-CycleGAN.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2021
Non-negative matrix factorisation improves Centiloid robustness in longitudinal studies.
NeuroImage, 2021

2018
Implementing the centiloid transformation for <sup>11</sup>C-PiB and β-amyloid <sup>18</sup>F-PET tracers using CapAIBL.
NeuroImage, 2018

A Framework to Objectively Identify Reference Regions for Normalizing Quantitative Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
A normalisation framework for quantitative brain imaging; application to quantitative susceptibility mapping.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

PET-only 18F-AV1451 tau quantification.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
CapAIBL: Automated Reporting of Cortical PET Quantification Without Need of MRI on Brain Surface Using a Patch-Based Method.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2016

2015
Computer-aided detection of cerebral microbleeds in susceptibility-weighted imaging.
Comput. Medical Imaging Graph., 2015

Computational analysis of PET by AIBL (CapAIBL): a cloud-based processing pipeline for the quantification of PET images.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

2014
Efficient machine learning framework for computer-aided detection of cerebral microbleeds using the Radon transform.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Research and applications: MilxXplore: a web-based system to explore large imaging datasets.
J. Am. Medical Informatics Assoc., 2013

Automatic detection of small spherical lesions using multiscale approach in 3D medical images.
Proceedings of the IEEE International Conference on Image Processing, 2013

2012
A surface based approach for cortical thickness comparison between PiB+ and PiB- healthy control subjects.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

MR-Less Surface-Based Amyloid Estimation by Subject-Specific Atlas Selection and Bayesian Fusion.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2011
Local intensity model: An outlier detection framework with applications to white matter hyperintensity segmentation.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Supervised method to build an atlas database for multi-atlas segmentation-propagation.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

2008
Appearance modeling of <sup>11</sup>C PiB PET images: Characterizing amyloid deposition in Alzheimer's disease, mild cognitive impairment and healthy aging.
NeuroImage, 2008

MR-Less High Dimensional Spatial Normalization of 11C PiB PET Images on a Population of Elderly, Mild Cognitive Impaired and Alzheimer Disease Patients.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Generative atlases and atlas selection for C11-PIB PET-PET registration of elderly, mild cognitive impaired and Alzheimer disease patients.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007
Spline Based Inhomogeneity Correction for <sup>11</sup>C-PIB PET Segmentation Using Expectation Maximization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Pib-Pet Segmentation for Automatic Suvr Normalisation without Mr Information.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007


  Loading...