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Mathieu De Craene

Showing results (1-10 of 37) with videos related to

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Frontiers in Cardiovascular Medicine|January 31, 2020
Machine Learning Approaches for Myocardial Motion and Deformation AnalysisNicolas Duchateau, Andrew P King, Mathieu De Craene
Medical Image Analysis|August 22, 2012
Constrained manifold learning for the characterization of pathological deviations from normalityNicolas Duchateau, Mathieu De Craene, Gemma Piella, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 19, 2011
Characterizing pathological deviations from normality using constrained manifold-learningNicolas Duchateau, Mathieu De Craene, Gemma Piella, et al.
IEEE Transactions on Medical Imaging|May 11, 2016
Infarct Localization From Myocardial Deformation: Prediction and Uncertainty Quantification by Regression From a Low-Dimensional SpaceNicolas Duchateau, Mathieu De Craene, Pascal Allain, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|March 1, 2020
A Pilot Study on Convolutional Neural Networks for Motion Estimation From Ultrasound ImagesEwan Evain, Khuram Faraz, Thomas Grenier, et al.
Medical Image Analysis|December 1, 2019
Analysis of nonstandardized stress echocardiography sequences using multiview dimensionality reductionMariana Nogueira, Mathieu De Craene, Sergio Sanchez-Martinez, et al.
IEEE Transactions on Medical Imaging|August 2, 2011
Reconstructing the 3D shape and bone mineral density distribution of the proximal femur from dual-energy X-ray absorptiometryTristan Whitmarsh, Ludovic Humbert, Mathieu De Craene, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 30, 2010
Septal flash assessment on CRT candidates based on statistical atlases of motionNicolas Duchateau, Mathieu De Craene, Etel Silva, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|March 6, 2018
Realistic Vendor-Specific Synthetic Ultrasound Data for Quality Assurance of 2-D Speckle Tracking Echocardiography: Simulation Pipeline and Open Access DatabaseMartino Alessandrini, Bidisha Chakraborty, Brecht Heyde, et al.
Medical Physics|August 17, 2012
Technical note: comparison between single and multiview simulated DXA configurations for reconstructing the 3D shape and bone mineral density distribution of the proximal femurLudovic Humbert, Tristan Whitmarsh, Mathieu De Craene, et al.
Pageof 4

Showing results (1-10 of 37) with videos related to

Sort By:
Pageof 4
Frontiers in Cardiovascular Medicine|January 31, 2020
Machine Learning Approaches for Myocardial Motion and Deformation AnalysisNicolas Duchateau, Andrew P King, Mathieu De Craene
Medical Image Analysis|August 22, 2012
Constrained manifold learning for the characterization of pathological deviations from normalityNicolas Duchateau, Mathieu De Craene, Gemma Piella, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 19, 2011
Characterizing pathological deviations from normality using constrained manifold-learningNicolas Duchateau, Mathieu De Craene, Gemma Piella, et al.
IEEE Transactions on Medical Imaging|May 11, 2016
Infarct Localization From Myocardial Deformation: Prediction and Uncertainty Quantification by Regression From a Low-Dimensional SpaceNicolas Duchateau, Mathieu De Craene, Pascal Allain, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|March 1, 2020
A Pilot Study on Convolutional Neural Networks for Motion Estimation From Ultrasound ImagesEwan Evain, Khuram Faraz, Thomas Grenier, et al.
Medical Image Analysis|December 1, 2019
Analysis of nonstandardized stress echocardiography sequences using multiview dimensionality reductionMariana Nogueira, Mathieu De Craene, Sergio Sanchez-Martinez, et al.
IEEE Transactions on Medical Imaging|August 2, 2011
Reconstructing the 3D shape and bone mineral density distribution of the proximal femur from dual-energy X-ray absorptiometryTristan Whitmarsh, Ludovic Humbert, Mathieu De Craene, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 30, 2010
Septal flash assessment on CRT candidates based on statistical atlases of motionNicolas Duchateau, Mathieu De Craene, Etel Silva, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|March 6, 2018
Realistic Vendor-Specific Synthetic Ultrasound Data for Quality Assurance of 2-D Speckle Tracking Echocardiography: Simulation Pipeline and Open Access DatabaseMartino Alessandrini, Bidisha Chakraborty, Brecht Heyde, et al.
Medical Physics|August 17, 2012
Technical note: comparison between single and multiview simulated DXA configurations for reconstructing the 3D shape and bone mineral density distribution of the proximal femurLudovic Humbert, Tristan Whitmarsh, Mathieu De Craene, et al.
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