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Andrew J Reader

Showing results (31-40 of 73) with videos related to

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Diagnostics (Basel, Switzerland)|November 14, 2023
Deep Learned Segmentations of Inflammation for Novel ⁹⁹<sup>m</sup>Tc-maraciclatide Imaging of Rheumatoid ArthritisRobert Cobb, Gary J R Cook, Andrew J Reader
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 1, 2014
Atlas construction for dynamic (4D) PET using diffeomorphic transformationsMarie Bieth, Hervé Lombaert, Andrew J Reader, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences|June 6, 2022
Memory-Efficient Training for Fully Unrolled Deep Learned PET Image Reconstruction with Iteration-Dependent TargetsGuillaume Corda-D'Incan, Julia A Schnabel, Andrew J Reader
Medical Physics|February 3, 2019
Two novel PET image restoration methods guided by PET-MR kernels: Application to brain imagingMarzieh S Tahaei, Andrew J Reader, D Louis Collins
IEEE Transactions on Radiation and Plasma Medical Sciences|November 17, 2025
Personalized MR-Informed Diffusion Models for 3D PET Image ReconstructionGeorge Webber, Alexander Hammers, Andrew P King, et al.
Physics in Medicine and Biology|October 19, 2006
Joint estimation of dynamic PET images and temporal basis functions using fully 4D ML-EMAndrew J Reader, Florent C Sureau, Claude Comtat, et al.
IEEE Transactions on Medical Imaging|April 25, 2017
Synergistic PET and SENSE MR Image Reconstruction Using Joint Sparsity RegularizationAbolfazl Mehranian, Martin A Belzunce, Claudia Prieto, et al.
PET Clinics|March 9, 2016
MR-Based Cardiac and Respiratory Motion-Compensation Techniques for PET-MR ImagingCamila Munoz, Christoph Kolbitsch, Andrew J Reader, et al.
Radiological Physics and Technology|February 6, 2024
Deep learning-based PET image denoising and reconstruction: a reviewFumio Hashimoto, Yuya Onishi, Kibo Ote, et al.
Radiological Physics and Technology|March 16, 2024
Correction to: Deep learning-based PET image denoising and reconstruction: a reviewFumio Hashimoto, Yuya Onishi, Kibo Ote, et al.
Pageof 8

Showing results (31-40 of 73) with videos related to

Sort By:
Pageof 8
Diagnostics (Basel, Switzerland)|November 14, 2023
Deep Learned Segmentations of Inflammation for Novel ⁹⁹<sup>m</sup>Tc-maraciclatide Imaging of Rheumatoid ArthritisRobert Cobb, Gary J R Cook, Andrew J Reader
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 1, 2014
Atlas construction for dynamic (4D) PET using diffeomorphic transformationsMarie Bieth, Hervé Lombaert, Andrew J Reader, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences|June 6, 2022
Memory-Efficient Training for Fully Unrolled Deep Learned PET Image Reconstruction with Iteration-Dependent TargetsGuillaume Corda-D'Incan, Julia A Schnabel, Andrew J Reader
Medical Physics|February 3, 2019
Two novel PET image restoration methods guided by PET-MR kernels: Application to brain imagingMarzieh S Tahaei, Andrew J Reader, D Louis Collins
IEEE Transactions on Radiation and Plasma Medical Sciences|November 17, 2025
Personalized MR-Informed Diffusion Models for 3D PET Image ReconstructionGeorge Webber, Alexander Hammers, Andrew P King, et al.
Physics in Medicine and Biology|October 19, 2006
Joint estimation of dynamic PET images and temporal basis functions using fully 4D ML-EMAndrew J Reader, Florent C Sureau, Claude Comtat, et al.
IEEE Transactions on Medical Imaging|April 25, 2017
Synergistic PET and SENSE MR Image Reconstruction Using Joint Sparsity RegularizationAbolfazl Mehranian, Martin A Belzunce, Claudia Prieto, et al.
PET Clinics|March 9, 2016
MR-Based Cardiac and Respiratory Motion-Compensation Techniques for PET-MR ImagingCamila Munoz, Christoph Kolbitsch, Andrew J Reader, et al.
Radiological Physics and Technology|February 6, 2024
Deep learning-based PET image denoising and reconstruction: a reviewFumio Hashimoto, Yuya Onishi, Kibo Ote, et al.
Radiological Physics and Technology|March 16, 2024
Correction to: Deep learning-based PET image denoising and reconstruction: a reviewFumio Hashimoto, Yuya Onishi, Kibo Ote, et al.
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