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Pierre Vera

Showing results (11-20 of 143) with videos related to

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Journal of Computer Assisted Tomography|July 15, 2017
Automatic Measurement of the Total Visceral Adipose Tissue From Computed Tomography Images by Using a Multi-Atlas Segmentation MethodPierre Decazes, Alexandra Rouquette, Annaëlle Chetrit, et al.
IEEE Transactions on Medical Imaging|April 9, 2014
Prediction of lung tumor evolution during radiotherapy in individual patients with PETHongmei Mi, Caroline Petitjean, Bernard Dubray, et al.
IEEE Transactions on Bio-Medical Engineering|April 4, 2017
Spatial Evidential Clustering With Adaptive Distance Metric for Tumor Segmentation in FDG-PET ImagesChunfeng Lian, Su Ruan, Thierry Denoux, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
Segmentation of biological target volumes on multi-tracer PET images based on information fusion for achieving dose painting in radiotherapyBenoît Lelandais, Isabelle Gardin, Laurent Mouchard, et al.
Medical Image Analysis|August 17, 2014
Fusion of multi-tracer PET images for dose paintingBenoît Lelandais, Su Ruan, Thierry Denœux, et al.
International Journal of Computer Assisted Radiology and Surgery|August 12, 2019
Detection and segmentation of lymphomas in 3D PET images via clustering with entropy-based optimization strategyHaigen Hu, Pierre Decazes, Pierre Vera, et al.
EJNMMI Research|July 24, 2012
Comparison of heterogeneity quantification algorithms for brain SPECT perfusion imagesRomain Modzelewski, Elise Janvresse, Thierry de la Rue, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|October 9, 2018
Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief FunctionsChunfeng Lian, Su Ruan, Thierry Denoeux, et al.
Journal of Imaging|May 27, 2022
Weakly Supervised Tumor Detection in PET Using Class Response for Treatment Outcome PredictionAmine Amyar, Romain Modzelewski, Pierre Vera, et al.
Artificial Intelligence in Medicine|August 26, 2015
Robust feature selection to predict tumor treatment outcomeHongmei Mi, Caroline Petitjean, Bernard Dubray, et al.
Pageof 15

Showing results (11-20 of 143) with videos related to

Sort By:
Pageof 15
Journal of Computer Assisted Tomography|July 15, 2017
Automatic Measurement of the Total Visceral Adipose Tissue From Computed Tomography Images by Using a Multi-Atlas Segmentation MethodPierre Decazes, Alexandra Rouquette, Annaëlle Chetrit, et al.
IEEE Transactions on Medical Imaging|April 9, 2014
Prediction of lung tumor evolution during radiotherapy in individual patients with PETHongmei Mi, Caroline Petitjean, Bernard Dubray, et al.
IEEE Transactions on Bio-Medical Engineering|April 4, 2017
Spatial Evidential Clustering With Adaptive Distance Metric for Tumor Segmentation in FDG-PET ImagesChunfeng Lian, Su Ruan, Thierry Denoux, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
Segmentation of biological target volumes on multi-tracer PET images based on information fusion for achieving dose painting in radiotherapyBenoît Lelandais, Isabelle Gardin, Laurent Mouchard, et al.
Medical Image Analysis|August 17, 2014
Fusion of multi-tracer PET images for dose paintingBenoît Lelandais, Su Ruan, Thierry Denœux, et al.
International Journal of Computer Assisted Radiology and Surgery|August 12, 2019
Detection and segmentation of lymphomas in 3D PET images via clustering with entropy-based optimization strategyHaigen Hu, Pierre Decazes, Pierre Vera, et al.
EJNMMI Research|July 24, 2012
Comparison of heterogeneity quantification algorithms for brain SPECT perfusion imagesRomain Modzelewski, Elise Janvresse, Thierry de la Rue, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|October 9, 2018
Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief FunctionsChunfeng Lian, Su Ruan, Thierry Denoeux, et al.
Journal of Imaging|May 27, 2022
Weakly Supervised Tumor Detection in PET Using Class Response for Treatment Outcome PredictionAmine Amyar, Romain Modzelewski, Pierre Vera, et al.
Artificial Intelligence in Medicine|August 26, 2015
Robust feature selection to predict tumor treatment outcomeHongmei Mi, Caroline Petitjean, Bernard Dubray, et al.
Pageof 15