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Simon Arridge

Showing results (81-90 of 99) with videos related to

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Scientific Reports|May 23, 2024
Training deep learning based dynamic MR image reconstruction using open-source natural videosOlivier Jaubert, Michele Pascale, Javier Montalt-Tordera, et al.
International Journal of Computer Assisted Radiology and Surgery|September 3, 2022
Enhancement of instrumented ultrasonic tracking images using deep learningEfthymios Maneas, Andreas Hauptmann, Erwin J Alles, et al.
IEEE Transactions on Medical Imaging|April 4, 2018
Fast Quasi-Newton Algorithms for Penalized Reconstruction in Emission Tomography and Further Improvements via PreconditioningYu-Jung Tsai, Alexandre Bousse, Matthias J Ehrhardt, et al.
Biomedical Optics Express|November 18, 2011
Split operator method for fluorescence diffuse optical tomography using anisotropic diffusion regularisation with prior anatomical informationTeresa Correia, Juan Aguirre, Alejandro Sisniega, et al.
IEEE Transactions on Medical Imaging|May 31, 2019
Benefits of Using a Spatially-Variant Penalty Strength With Anatomical Priors in PET ReconstructionYu-Jung Tsai, Georg Schramm, Sangtae Ahn, et al.
IEEE Transactions on Medical Imaging|June 6, 2018
DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI ReconstructionGuang Yang, Simiao Yu, Hao Dong, et al.
Journal of Biomedical Optics|July 19, 2013
Use of Split Bregman denoising for iterative reconstruction in fluorescence diffuse optical tomographyJudit Chamorro-Servent, Juan F P J Abascal, Juan Aguirre, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|November 8, 2021
Deep Learning for Instrumented Ultrasonic Tracking: From Synthetic Training Data to In Vivo ApplicationEfthymios Maneas, Andreas Hauptmann, Erwin J Alles, et al.
Journal of Biomedical Optics|April 17, 2012
Influence of absorption and scattering on the quantification of fluorescence diffuse optical tomography using normalized dataJuan Felipe Perez-Juste Abascal, Juan Aguirre, Judit Chamorro-Servent, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
Estimation of volumetric myocardial apparent conductivity from endocardial electro-anatomical mappingPhani Chinchapatnam, Kawal S Rhode, Matthew Ginks, et al.
Pageof 10

Showing results (81-90 of 99) with videos related to

Sort By:
Pageof 10
Scientific Reports|May 23, 2024
Training deep learning based dynamic MR image reconstruction using open-source natural videosOlivier Jaubert, Michele Pascale, Javier Montalt-Tordera, et al.
International Journal of Computer Assisted Radiology and Surgery|September 3, 2022
Enhancement of instrumented ultrasonic tracking images using deep learningEfthymios Maneas, Andreas Hauptmann, Erwin J Alles, et al.
IEEE Transactions on Medical Imaging|April 4, 2018
Fast Quasi-Newton Algorithms for Penalized Reconstruction in Emission Tomography and Further Improvements via PreconditioningYu-Jung Tsai, Alexandre Bousse, Matthias J Ehrhardt, et al.
Biomedical Optics Express|November 18, 2011
Split operator method for fluorescence diffuse optical tomography using anisotropic diffusion regularisation with prior anatomical informationTeresa Correia, Juan Aguirre, Alejandro Sisniega, et al.
IEEE Transactions on Medical Imaging|May 31, 2019
Benefits of Using a Spatially-Variant Penalty Strength With Anatomical Priors in PET ReconstructionYu-Jung Tsai, Georg Schramm, Sangtae Ahn, et al.
IEEE Transactions on Medical Imaging|June 6, 2018
DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI ReconstructionGuang Yang, Simiao Yu, Hao Dong, et al.
Journal of Biomedical Optics|July 19, 2013
Use of Split Bregman denoising for iterative reconstruction in fluorescence diffuse optical tomographyJudit Chamorro-Servent, Juan F P J Abascal, Juan Aguirre, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|November 8, 2021
Deep Learning for Instrumented Ultrasonic Tracking: From Synthetic Training Data to In Vivo ApplicationEfthymios Maneas, Andreas Hauptmann, Erwin J Alles, et al.
Journal of Biomedical Optics|April 17, 2012
Influence of absorption and scattering on the quantification of fluorescence diffuse optical tomography using normalized dataJuan Felipe Perez-Juste Abascal, Juan Aguirre, Judit Chamorro-Servent, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
Estimation of volumetric myocardial apparent conductivity from endocardial electro-anatomical mappingPhani Chinchapatnam, Kawal S Rhode, Matthew Ginks, et al.
Pageof 10