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C Strother

Showing results (81-90 of 224) with videos related to

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Neuroimage|March 22, 2002
The quantitative evaluation of functional neuroimaging experiments: mutual information learning curvesU Kjems, L K Hansen, J Anderson, et al.
Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism|October 3, 2019
Different preprocessing strategies lead to different conclusions: A [<sup>11</sup>C]DASB-PET reproducibility studyMartin Nørgaard, Melanie Ganz, Claus Svarer, et al.
Neuroimage|October 18, 2000
Multivariate predictive relationship between kinematic and functional activation patterns in a PET study of visuomotor learningS A Frutiger, S C Strother, J R Anderson, et al.
Magnetic Resonance Imaging|October 14, 2008
Evaluation and optimization of fMRI single-subject processing pipelines with NPAIRS and second-level CVAJing Zhang, Jon R Anderson, Lichen Liang, et al.
Journal of Computer Assisted Tomography|November 1, 1994
Quantitative comparisons of image registration techniques based on high-resolution MRI of the brainS C Strother, J R Anderson, X L Xu, et al.
Alzheimer'S & Dementia (New York, N. Y.)|July 18, 2022
Measurement of neurodegeneration using a multivariate early frame amyloid PET classifierDawn C Matthews, Ana S Lukic, Randolph D Andrews, et al.
Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism|March 1, 1991
Absolute quantitation in neurological PET: do we need it?S C Strother, J S Liow, J R Moeller, et al.
Physics in Medicine and Biology|December 1, 1989
Positron emission tomographic measurement of blood-to-brain and blood-to-tumour transport of 82Rb. I: Error analysis and computer simulationsV Dhawan, A Poltorak, J R Moeller, et al.
Neuroimage|August 30, 2011
PHYCAA: data-driven measurement and removal of physiological noise in BOLD fMRINathan W Churchill, Grigori Yourganov, Robyn Spring, et al.
Neuroimage|June 4, 2019
Optimization of preprocessing strategies in Positron Emission Tomography (PET) neuroimaging: A [<sup>11</sup>C]DASB PET studyMartin Nørgaard, Melanie Ganz, Claus Svarer, et al.
Pageof 23

Showing results (81-90 of 224) with videos related to

Sort By:
Pageof 23
Neuroimage|March 22, 2002
The quantitative evaluation of functional neuroimaging experiments: mutual information learning curvesU Kjems, L K Hansen, J Anderson, et al.
Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism|October 3, 2019
Different preprocessing strategies lead to different conclusions: A [<sup>11</sup>C]DASB-PET reproducibility studyMartin Nørgaard, Melanie Ganz, Claus Svarer, et al.
Neuroimage|October 18, 2000
Multivariate predictive relationship between kinematic and functional activation patterns in a PET study of visuomotor learningS A Frutiger, S C Strother, J R Anderson, et al.
Magnetic Resonance Imaging|October 14, 2008
Evaluation and optimization of fMRI single-subject processing pipelines with NPAIRS and second-level CVAJing Zhang, Jon R Anderson, Lichen Liang, et al.
Journal of Computer Assisted Tomography|November 1, 1994
Quantitative comparisons of image registration techniques based on high-resolution MRI of the brainS C Strother, J R Anderson, X L Xu, et al.
Alzheimer'S & Dementia (New York, N. Y.)|July 18, 2022
Measurement of neurodegeneration using a multivariate early frame amyloid PET classifierDawn C Matthews, Ana S Lukic, Randolph D Andrews, et al.
Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism|March 1, 1991
Absolute quantitation in neurological PET: do we need it?S C Strother, J S Liow, J R Moeller, et al.
Physics in Medicine and Biology|December 1, 1989
Positron emission tomographic measurement of blood-to-brain and blood-to-tumour transport of 82Rb. I: Error analysis and computer simulationsV Dhawan, A Poltorak, J R Moeller, et al.
Neuroimage|August 30, 2011
PHYCAA: data-driven measurement and removal of physiological noise in BOLD fMRINathan W Churchill, Grigori Yourganov, Robyn Spring, et al.
Neuroimage|June 4, 2019
Optimization of preprocessing strategies in Positron Emission Tomography (PET) neuroimaging: A [<sup>11</sup>C]DASB PET studyMartin Nørgaard, Melanie Ganz, Claus Svarer, et al.
Pageof 23