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Elizabeth M Sweeney

Showing results (1-10 of 34) with videos related to

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Neuroimage|March 1, 2016
Removing inter-subject technical variability in magnetic resonance imaging studiesJean-Philippe Fortin, Elizabeth M Sweeney, John Muschelli, et al.
Clinical Imaging|October 1, 2021
Diagnostic accuracy of shuttle CT angiography (CTA) and helical CTA in the diagnosis of vasospasmNatasha M Smith, Elizabeth M Sweeney, Ajay Gupta, et al.
Statistics in Medicine|May 6, 2015
Scan-stratified case-control sampling for modeling blood-brain barrier integrity in multiple sclerosisGina-Maria Pomann, Elizabeth M Sweeney, Daniel S Reich, et al.
Neuroimage. Clinical|March 10, 2017
PItcHPERFeCT: Primary Intracranial Hemorrhage Probability Estimation using Random Forests on CTJohn Muschelli, Elizabeth M Sweeney, Natalie L Ullman, et al.
Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging|March 9, 2022
Quantitative susceptibility mapping versus phase imaging to identify multiple sclerosis iron rim lesions with demyelinationWeiyuan Huang, Elizabeth M Sweeney, Ulrike W Kaunzner, et al.
Neuroimage. Clinical|August 24, 2016
PREVAIL: Predicting Recovery through Estimation and Visualization of Active and Incident LesionsJordan D Dworkin, Elizabeth M Sweeney, Matthew K Schindler, et al.
Pharmacoepidemiology and Drug Safety|July 6, 2021
Differential frequency in imaging-based outcome measurement: Bias in real-world oncology comparative-effectiveness studiesBlythe J S Adamson, Xinran Ma, Sandra D Griffith, et al.
Medicine|September 24, 2021
Predictors of acute deep venous thrombosis in patients hospitalized for COVID-19Sadjad Riyahi, Stefanie J Hectors, Martin R Prince, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|January 16, 2016
Clinical 3-tesla FLAIR* MRI improves diagnostic accuracy in multiple sclerosisIlena C George, Pascal Sati, Martina Absinta, et al.
Neuroimage. Clinical|March 5, 2022
QSMRim-Net: Imbalance-aware learning for identification of chronic active multiple sclerosis lesions on quantitative susceptibility mapsHang Zhang, Thanh D Nguyen, Jinwei Zhang, et al.
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
Neuroimage|March 1, 2016
Removing inter-subject technical variability in magnetic resonance imaging studiesJean-Philippe Fortin, Elizabeth M Sweeney, John Muschelli, et al.
Clinical Imaging|October 1, 2021
Diagnostic accuracy of shuttle CT angiography (CTA) and helical CTA in the diagnosis of vasospasmNatasha M Smith, Elizabeth M Sweeney, Ajay Gupta, et al.
Statistics in Medicine|May 6, 2015
Scan-stratified case-control sampling for modeling blood-brain barrier integrity in multiple sclerosisGina-Maria Pomann, Elizabeth M Sweeney, Daniel S Reich, et al.
Neuroimage. Clinical|March 10, 2017
PItcHPERFeCT: Primary Intracranial Hemorrhage Probability Estimation using Random Forests on CTJohn Muschelli, Elizabeth M Sweeney, Natalie L Ullman, et al.
Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging|March 9, 2022
Quantitative susceptibility mapping versus phase imaging to identify multiple sclerosis iron rim lesions with demyelinationWeiyuan Huang, Elizabeth M Sweeney, Ulrike W Kaunzner, et al.
Neuroimage. Clinical|August 24, 2016
PREVAIL: Predicting Recovery through Estimation and Visualization of Active and Incident LesionsJordan D Dworkin, Elizabeth M Sweeney, Matthew K Schindler, et al.
Pharmacoepidemiology and Drug Safety|July 6, 2021
Differential frequency in imaging-based outcome measurement: Bias in real-world oncology comparative-effectiveness studiesBlythe J S Adamson, Xinran Ma, Sandra D Griffith, et al.
Medicine|September 24, 2021
Predictors of acute deep venous thrombosis in patients hospitalized for COVID-19Sadjad Riyahi, Stefanie J Hectors, Martin R Prince, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|January 16, 2016
Clinical 3-tesla FLAIR* MRI improves diagnostic accuracy in multiple sclerosisIlena C George, Pascal Sati, Martina Absinta, et al.
Neuroimage. Clinical|March 5, 2022
QSMRim-Net: Imbalance-aware learning for identification of chronic active multiple sclerosis lesions on quantitative susceptibility mapsHang Zhang, Thanh D Nguyen, Jinwei Zhang, et al.
Pageof 4