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Publications of Matthieu Le
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Matthieu Lê.
Brain tumor growth modeling : application to radiotherapy.
Theses,
Université Nice Sophia Antipolis,
June 2016.
Keyword(s): Medical imaging,
Biophysical model,
Personalization,
Radiotherapy,
Segmentation,
Uncertainty,
Imagerie médicale,
Modèle biophysique,
Personnalisation,
Radiothérapie,
Segmentation,
Incertitude.
[bibtex-entry]
Articles in journal, book chapters |
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Nicolas Cordier,
Hervé Delingette,
Matthieu Lê,
and Nicholas Ayache.
Extended Modality Propagation: Image Synthesis of Pathological Cases.
IEEE Transactions on Medical Imaging,
PP(99),
July 2016.
Keyword(s): patch-based,
multi-atlas,
glioma,
generative model,
medical image simulation,
modality synthesis.
[bibtex-entry]
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Matthieu Lê,
Hervé Delingette,
Jayashree Kalpathy-Cramer,
Elizabeth R Gerstner,
Tracy Batchelor,
Jan Unkelbach,
and Nicholas Ayache.
MRI Based Bayesian Personalization of a Tumor Growth Model.
IEEE Transactions on Medical Imaging,
35(10):2329-2339,
April 2016.
Keyword(s): bayesian,
personalization,
Index Terms-tumor growth,
glioblastoma,
reaction-diffusion,
LBM,
Monte Carlo.
[bibtex-entry]
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Matthieu Lê,
Hervé Delingette,
Jayashree Kalpathy-Cramer,
Elizabeth R Gerstner,
Tracy Batchelor,
Jan Unkelbach,
and Nicholas Ayache.
Personalized Radiotherapy Planning Based on a Computational Tumor Growth Model.
IEEE Transactions on Medical Imaging,
pp 11,
2016.
Keyword(s): Index Terms-Radiotherapy planning,
computational tu-,
mor growth model,
personalization,
uncertainty,
segmentation,
glioblastoma.
[bibtex-entry]
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Matthieu Lê,
Jan Unkelbach,
Nicholas Ayache,
and Hervé Delingette.
Sampling Image Segmentations for Uncertainty Quantification.
Medical Image Analysis,
34:42-51,
December 2016.
Note: Accepted for publication to the journal Elsevier Medical Image Analysis.
Keyword(s): Gaussian process,
brain tumor,
uncertainty,
radiotherapy planning,
Segmentation.
[bibtex-entry]
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Jan Unkelbach,
Bjoern Menze,
Ender Konukoglu,
Florian Dittmann,
Matthieu Le,
Nicholas Ayache,
and Helen Shi.
Radiotherapy planning for glioblastoma based on a tumor growth model: improving target volume delineation.
Physics in Medicine and Biology,
December 2013.
[bibtex-entry]
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Matthieu Lê,
Hervé Delingette,
Jayashree Kalpathy-Cramer,
Elizabeth R Gerstner,
Tracy Batchelor,
Jan Unkelbach,
and Nicholas Ayache.
Bayesian Personalization of Brain Tumor Growth Model.
In Alejandro F. Frangi,
Joachim Hornegger,
Nassir Navab,
and William M. Wells, editors,
MICCAI - Medical Image Computing and Computer Assisted Intervention - 2015,
volume 9350 of Lecture Notes in Computer Science - LNCS,
Munich, Germany,
pages 424-432,
October 2015.
Springer.
Keyword(s): Glioma Modeling,
Bayesian,
Personalization.
[bibtex-entry]
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Matthieu Lê,
Jan Unkelbach,
Nicholas Ayache,
and Hervé Delingette.
GPSSI: Gaussian Process for Sampling Segmentations of Images.
In Alejandro F. Frangi,
Joachim Hornegger,
Nassir Navab,
and William M. Wells, editors,
MICCAI - Medical Image Computing and Computer Assisted Intervention - 2015,
volume 9351 of Lecture Notes in Computer Science - LNCS,
Munich, Germany,
pages 38-46,
October 2015.
Springer.
Keyword(s): Sampling,
Gaussian process,
Radiotherapy,
Segmentation.
[bibtex-entry]
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Matthieu Lê,
Hervé Delingette,
Jayashree Kalpathy-Cramer,
Elisabeth Gerstner,
Helen A. Shih,
Tracy Batchelor,
Jan Unkelbach,
and Nicholas Ayache.
Multimodal Analysis of Vasogenic Edema in Glioblastoma Patients for Radiotherapy Planning.
In Workshop Image-Guided Adaptive Radiation Therapy,
Boston, United States,
September 2014.
[bibtex-entry]
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Mariem Mhiri,
Vineeth Varma,
Maël Le,
Samson Lasaulce,
and Abdelaziz Samet.
On the benefits of repeated game models for green cross-layer power control in small cells.
In BlackSeaCom 2013,
Batumi, Georgia,
July 2013.
Keyword(s): channel state information,
repeated game,
energy efficiency,
Index Terms-distributed power control,
channel state information.
[bibtex-entry]
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