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Haz-Edine Assemlal

Showing results (1-10 of 12) 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|April 30, 2010
Evaluation of q-space sampling strategies for the diffusion magnetic resonance imagingHaz-Edine Assemlal, David Tschumperlé, Luc Brun
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 6, 2008
Efficient computation of PDF-based characteristics from diffusion MR signalHaz-Edine Assemlal, David Tschumperlé, Luc Brun
Medical Image Analysis|August 12, 2009
Efficient and robust computation of PDF features from diffusion MR signalHaz-Edine Assemlal, David Tschumperlé, Luc Brun
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 15, 2011
Apparent intravoxel fibre population dispersion (FPD) using spherical harmonicsHaz-Edine Assemlal, Jennifer Campbell, Bruce Pike, et al.
Medical Image Analysis|March 15, 2011
Recent advances in diffusion MRI modeling: Angular and radial reconstructionHaz-Edine Assemlal, David Tschumperlé, Luc Brun, et al.
Neuroinformatics|June 30, 2018
Using Deep Learning Algorithms to Automatically Identify the Brain MRI Contrast: Implications for Managing Large DatabasesRicardo Pizarro, Haz-Edine Assemlal, Dante De Nigris, et al.
Medical Image Analysis|October 5, 2023
Deep learning, data ramping, and uncertainty estimation for detecting artifacts in large, imbalanced databases of MRI imagesRicardo Pizarro, Haz-Edine Assemlal, Sethu K Boopathy Jegathambal, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|May 6, 2023
Ocrelizumab-treated patients with relapsing multiple sclerosis show volume loss rates similar to healthy agingShannon Kolind, Laura Gaetano, Haz-Edine Assemlal, et al.
Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging|March 10, 2026
Quantitative Choroid Plexus Gadolinium Enhancement Is Related to Diffuse Brain Tissue Injury in Multiple SclerosisSneha Senthil, Ian Tagge, Dumitru Fetco, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|June 2, 2018
Detection and clinical correlation of leukocortical lesions in pediatric-onset multiple sclerosis on multi-contrast MRIJosefina Maranzano, Christine Till, Haz-Edine Assemlal, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 30, 2010
Evaluation of q-space sampling strategies for the diffusion magnetic resonance imagingHaz-Edine Assemlal, David Tschumperlé, Luc Brun
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 6, 2008
Efficient computation of PDF-based characteristics from diffusion MR signalHaz-Edine Assemlal, David Tschumperlé, Luc Brun
Medical Image Analysis|August 12, 2009
Efficient and robust computation of PDF features from diffusion MR signalHaz-Edine Assemlal, David Tschumperlé, Luc Brun
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 15, 2011
Apparent intravoxel fibre population dispersion (FPD) using spherical harmonicsHaz-Edine Assemlal, Jennifer Campbell, Bruce Pike, et al.
Medical Image Analysis|March 15, 2011
Recent advances in diffusion MRI modeling: Angular and radial reconstructionHaz-Edine Assemlal, David Tschumperlé, Luc Brun, et al.
Neuroinformatics|June 30, 2018
Using Deep Learning Algorithms to Automatically Identify the Brain MRI Contrast: Implications for Managing Large DatabasesRicardo Pizarro, Haz-Edine Assemlal, Dante De Nigris, et al.
Medical Image Analysis|October 5, 2023
Deep learning, data ramping, and uncertainty estimation for detecting artifacts in large, imbalanced databases of MRI imagesRicardo Pizarro, Haz-Edine Assemlal, Sethu K Boopathy Jegathambal, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|May 6, 2023
Ocrelizumab-treated patients with relapsing multiple sclerosis show volume loss rates similar to healthy agingShannon Kolind, Laura Gaetano, Haz-Edine Assemlal, et al.
Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging|March 10, 2026
Quantitative Choroid Plexus Gadolinium Enhancement Is Related to Diffuse Brain Tissue Injury in Multiple SclerosisSneha Senthil, Ian Tagge, Dumitru Fetco, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|June 2, 2018
Detection and clinical correlation of leukocortical lesions in pediatric-onset multiple sclerosis on multi-contrast MRIJosefina Maranzano, Christine Till, Haz-Edine Assemlal, et al.
Pageof 2