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Ting Guo
Andrew G Parrent
Terry M Peters

Showing results (1-10 of 1,622) 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|December 7, 2007
Automatic target and trajectory identification for deep brain stimulation (DBS) proceduresTing Guo, Andrew G Parrent, Terry M Peters
Computer Aided Surgery : Official Journal of the International Society for Computer Aided Surgery|December 11, 2007
Surgical targeting accuracy analysis of six methods for subthalamic nucleus deep brain stimulationTing Guo, Andrew G Parrent, Terry M Peters
Computer Aided Surgery : Official Journal of the International Society for Computer Aided Surgery|November 28, 2006
Visualization and navigation system development and application for stereotactic deep-brain neurosurgeriesTing Guo, Kirk W Finnis, Andrew G Parrent, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|May 12, 2006
Development and application of functional databases for planning deep-brain neurosurgical proceduresTing Guo, Kirk W Finnis, Andrew G Parrent, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 16, 2007
Comparison of different targeting methods for subthalamic nucleus deep brain stimulationTing Guo, Kirk W Finnis, Sean C L Deoni, et al.
Neuroimage|October 31, 2006
Segmentation of thalamic nuclei using a modified k-means clustering algorithm and high-resolution quantitative magnetic resonance imaging at 1.5 TSean C L Deoni, Brian K Rutt, Andrew G Parrent, et al.
IEEE Transactions on Medical Imaging|April 22, 2003
Three-dimensional database of subcortical electrophysiology for image-guided stereotactic functional neurosurgeryKirk W Finnis, Yves P Starreveld, Andrew G Parrent, et al.
Neuroimage|January 11, 2017
Quantification of local geometric distortion in structural magnetic resonance images: Application to ultra-high fieldsJonathan C Lau, Ali R Khan, Tony Y Zeng, et al.
World Neurosurgery|April 22, 2017
Ultra-High Field Template-Assisted Target Selection for Deep Brain Stimulation SurgeryJonathan C Lau, Keith W MacDougall, Miguel F Arango, et al.
Epilepsy Research|January 16, 2014
Quantitative relaxometry and diffusion MRI for lateralization in MTS and non-MTS temporal lobe epilepsyAli R Khan, Maged Goubran, Sandrine de Ribaupierre, et al.
Pageof 163

Showing results (1-10 of 1,622) with videos related to

Sort By:
Pageof 163
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 7, 2007
Automatic target and trajectory identification for deep brain stimulation (DBS) proceduresTing Guo, Andrew G Parrent, Terry M Peters
Computer Aided Surgery : Official Journal of the International Society for Computer Aided Surgery|December 11, 2007
Surgical targeting accuracy analysis of six methods for subthalamic nucleus deep brain stimulationTing Guo, Andrew G Parrent, Terry M Peters
Computer Aided Surgery : Official Journal of the International Society for Computer Aided Surgery|November 28, 2006
Visualization and navigation system development and application for stereotactic deep-brain neurosurgeriesTing Guo, Kirk W Finnis, Andrew G Parrent, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|May 12, 2006
Development and application of functional databases for planning deep-brain neurosurgical proceduresTing Guo, Kirk W Finnis, Andrew G Parrent, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 16, 2007
Comparison of different targeting methods for subthalamic nucleus deep brain stimulationTing Guo, Kirk W Finnis, Sean C L Deoni, et al.
Neuroimage|October 31, 2006
Segmentation of thalamic nuclei using a modified k-means clustering algorithm and high-resolution quantitative magnetic resonance imaging at 1.5 TSean C L Deoni, Brian K Rutt, Andrew G Parrent, et al.
IEEE Transactions on Medical Imaging|April 22, 2003
Three-dimensional database of subcortical electrophysiology for image-guided stereotactic functional neurosurgeryKirk W Finnis, Yves P Starreveld, Andrew G Parrent, et al.
Neuroimage|January 11, 2017
Quantification of local geometric distortion in structural magnetic resonance images: Application to ultra-high fieldsJonathan C Lau, Ali R Khan, Tony Y Zeng, et al.
World Neurosurgery|April 22, 2017
Ultra-High Field Template-Assisted Target Selection for Deep Brain Stimulation SurgeryJonathan C Lau, Keith W MacDougall, Miguel F Arango, et al.
Epilepsy Research|January 16, 2014
Quantitative relaxometry and diffusion MRI for lateralization in MTS and non-MTS temporal lobe epilepsyAli R Khan, Maged Goubran, Sandrine de Ribaupierre, et al.
Pageof 163