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Koen Van Leemput

Showing results (1-10 of 82) with videos related to

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Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 16, 2007
Probabilistic brain atlas encoding using Bayesian inferenceKoen Van Leemput
IEEE Transactions on Medical Imaging|December 11, 2008
Encoding probabilistic brain atlases using Bayesian inferenceKoen Van Leemput
IEEE Transactions on Medical Imaging|September 26, 2012
The relevance voxel machine (RVoxM): a self-tuning Bayesian model for informative image-based predictionMert R Sabuncu, Koen Van Leemput,
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 19, 2011
The Relevance Voxel Machine (RVoxM): a Bayesian method for image-based predictionMert R Sabuncu, Koen Van Leemput
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 22, 2014
A cautionary analysis of STAPLE using direct inference of segmentation truthKoen Van Leemput, Mert R Sabuncu
Physics in Medicine and Biology|April 25, 2017
A machine learning method for fast and accurate characterization of depth-of-interaction gamma camerasStefano Pedemonte, Larry Pierce, Koen Van Leemput
Physics and Imaging in Radiation Oncology|July 14, 2021
Cone beam computed tomography based image guidance and quality assessment of prostate cancer for magnetic resonance imaging-only radiotherapy in the pelvisJens M Edmund, Daniel Andreasen, Koen Van Leemput
Medical Physics|August 5, 2016
A patch-based pseudo-CT approach for MRI-only radiotherapy in the pelvisDaniel Andreasen, Koen Van Leemput, Jens M Edmund
Neuroimage|September 11, 2016
Fast and sequence-adaptive whole-brain segmentation using parametric Bayesian modelingOula Puonti, Juan Eugenio Iglesias, Koen Van Leemput
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|February 8, 2014
Fast, sequence adaptive parcellation of brain MR using parametric modelsOula Puonti, Juan Eugenio Iglesias, Koen Van Leemput
Pageof 9

Showing results (1-10 of 82) with videos related to

Sort By:
Pageof 9
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 16, 2007
Probabilistic brain atlas encoding using Bayesian inferenceKoen Van Leemput
IEEE Transactions on Medical Imaging|December 11, 2008
Encoding probabilistic brain atlases using Bayesian inferenceKoen Van Leemput
IEEE Transactions on Medical Imaging|September 26, 2012
The relevance voxel machine (RVoxM): a self-tuning Bayesian model for informative image-based predictionMert R Sabuncu, Koen Van Leemput,
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 19, 2011
The Relevance Voxel Machine (RVoxM): a Bayesian method for image-based predictionMert R Sabuncu, Koen Van Leemput
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 22, 2014
A cautionary analysis of STAPLE using direct inference of segmentation truthKoen Van Leemput, Mert R Sabuncu
Physics in Medicine and Biology|April 25, 2017
A machine learning method for fast and accurate characterization of depth-of-interaction gamma camerasStefano Pedemonte, Larry Pierce, Koen Van Leemput
Physics and Imaging in Radiation Oncology|July 14, 2021
Cone beam computed tomography based image guidance and quality assessment of prostate cancer for magnetic resonance imaging-only radiotherapy in the pelvisJens M Edmund, Daniel Andreasen, Koen Van Leemput
Medical Physics|August 5, 2016
A patch-based pseudo-CT approach for MRI-only radiotherapy in the pelvisDaniel Andreasen, Koen Van Leemput, Jens M Edmund
Neuroimage|September 11, 2016
Fast and sequence-adaptive whole-brain segmentation using parametric Bayesian modelingOula Puonti, Juan Eugenio Iglesias, Koen Van Leemput
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|February 8, 2014
Fast, sequence adaptive parcellation of brain MR using parametric modelsOula Puonti, Juan Eugenio Iglesias, Koen Van Leemput
Pageof 9