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Elizabeth M Sweeney

Showing results (11-20 of 34) with videos related to

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Stroke|October 10, 2015
Quantitative Intracerebral Hemorrhage LocalizationJohn Muschelli, Natalie L Ullman, Elizabeth M Sweeney, et al.
Neuroimage|January 7, 2016
Statistical estimation of T1 relaxation times using conventional magnetic resonance imagingAmanda F Mejia, Elizabeth M Sweeney, Blake Dewey, et al.
Neuroimage|October 18, 2020
Estimation of Multiple Sclerosis lesion age on magnetic resonance imagingElizabeth M Sweeney, Thanh D Nguyen, Amy Kuceyeski, et al.
Plos One|May 1, 2014
A comparison of supervised machine learning algorithms and feature vectors for MS lesion segmentation using multimodal structural MRIElizabeth M Sweeney, Joshua T Vogelstein, Jennifer L Cuzzocreo, et al.
Neuroimage|October 12, 2021
Functional connectome reorganization relates to post-stroke motor recovery and structural and functional disconnectionEmily R Olafson, Keith W Jamison, Elizabeth M Sweeney, et al.
Neuroimage. Clinical|October 19, 2021
ALL-Net: Anatomical information lesion-wise loss function integrated into neural network for multiple sclerosis lesion segmentationHang Zhang, Jinwei Zhang, Chao Li, et al.
Neuroimage. Clinical|December 23, 2015
Relating multi-sequence longitudinal intensity profiles and clinical covariates in incident multiple sclerosis lesionsElizabeth M Sweeney, Russell T Shinohara, Blake E Dewey, et al.
Frontiers in Aging Neuroscience|April 25, 2022
Quantitative Water Permeability Mapping of Blood-Brain-Barrier Dysfunction in AgingJeremy N Ford, Qihao Zhang, Elizabeth M Sweeney, et al.
Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging|September 4, 2021
Global cerebrospinal fluid as a zero-reference regularization for brain quantitative susceptibility mappingAlexey V Dimov, Thanh D Nguyen, Pascal Spincemaille, et al.
The Annals of Applied Statistics|July 6, 2022
A LAG FUNCTIONAL LINEAR MODEL FOR PREDICTION OF MAGNETIZATION TRANSFER RATIO IN MULTIPLE SCLEROSIS LESIONSGina-Maria Pomann, Ana-Maria Staicu, Edgar J Lobaton, et al.
Pageof 4

Showing results (11-20 of 34) with videos related to

Sort By:
Pageof 4
Stroke|October 10, 2015
Quantitative Intracerebral Hemorrhage LocalizationJohn Muschelli, Natalie L Ullman, Elizabeth M Sweeney, et al.
Neuroimage|January 7, 2016
Statistical estimation of T1 relaxation times using conventional magnetic resonance imagingAmanda F Mejia, Elizabeth M Sweeney, Blake Dewey, et al.
Neuroimage|October 18, 2020
Estimation of Multiple Sclerosis lesion age on magnetic resonance imagingElizabeth M Sweeney, Thanh D Nguyen, Amy Kuceyeski, et al.
Plos One|May 1, 2014
A comparison of supervised machine learning algorithms and feature vectors for MS lesion segmentation using multimodal structural MRIElizabeth M Sweeney, Joshua T Vogelstein, Jennifer L Cuzzocreo, et al.
Neuroimage|October 12, 2021
Functional connectome reorganization relates to post-stroke motor recovery and structural and functional disconnectionEmily R Olafson, Keith W Jamison, Elizabeth M Sweeney, et al.
Neuroimage. Clinical|October 19, 2021
ALL-Net: Anatomical information lesion-wise loss function integrated into neural network for multiple sclerosis lesion segmentationHang Zhang, Jinwei Zhang, Chao Li, et al.
Neuroimage. Clinical|December 23, 2015
Relating multi-sequence longitudinal intensity profiles and clinical covariates in incident multiple sclerosis lesionsElizabeth M Sweeney, Russell T Shinohara, Blake E Dewey, et al.
Frontiers in Aging Neuroscience|April 25, 2022
Quantitative Water Permeability Mapping of Blood-Brain-Barrier Dysfunction in AgingJeremy N Ford, Qihao Zhang, Elizabeth M Sweeney, et al.
Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging|September 4, 2021
Global cerebrospinal fluid as a zero-reference regularization for brain quantitative susceptibility mappingAlexey V Dimov, Thanh D Nguyen, Pascal Spincemaille, et al.
The Annals of Applied Statistics|July 6, 2022
A LAG FUNCTIONAL LINEAR MODEL FOR PREDICTION OF MAGNETIZATION TRANSFER RATIO IN MULTIPLE SCLEROSIS LESIONSGina-Maria Pomann, Ana-Maria Staicu, Edgar J Lobaton, et al.
Pageof 4