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Jerry S Wolinsky

Showing results (41-50 of 139) with videos related to

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Magnetic Resonance Imaging|November 1, 2019
Are multi-contrast magnetic resonance images necessary for segmenting multiple sclerosis brains? A large cohort study based on deep learningPonnada A Narayana, Ivan Coronado, Sheeba J Sujit, et al.
Journal of Magnetic Resonance Imaging : JMRI|December 20, 2008
Caudate nuclei volume, diffusion tensor metrics, and T(2) relaxation in healthy adults and relapsing-remitting multiple sclerosis patients: implications for understanding gray matter degenerationKhader M Hasan, Christopher Halphen, Arash Kamali, et al.
Neuroimage|August 30, 2005
Segmentation and quantification of black holes in multiple sclerosisSushmita Datta, Balasrinivasa Rao Sajja, Renjie He, et al.
Journal of Magnetic Resonance Imaging : JMRI|April 26, 2007
Segmentation of gadolinium-enhanced lesions on MRI in multiple sclerosisSushmita Datta, Balasrinivasa Rao Sajja, Renjie He, et al.
Journal of Magnetic Resonance Imaging : JMRI|October 19, 2019
Deep-Learning-Based Neural Tissue Segmentation of MRI in Multiple Sclerosis: Effect of Training Set SizePonnada A Narayana, Ivan Coronado, Sheeba J Sujit, et al.
Neurology|August 26, 2021
Comparison of the EDSS, Timed 25-Foot Walk, and the 9-Hole Peg Test as Clinical Trial Outcomes in Relapsing-Remitting Multiple SclerosisMarcus W Koch, Jop P Mostert, Jerry S Wolinsky, et al.
Radiology|December 18, 2019
Deep Learning for Predicting Enhancing Lesions in Multiple Sclerosis from Noncontrast MRIPonnada A Narayana, Ivan Coronado, Sheeba J Sujit, et al.
Neurology|August 11, 2021
Association of Age With Contrast-Enhancing Lesions Across the Multiple Sclerosis Disease SpectrumMarcus W Koch, Jop Mostert, Yinan Zhang, et al.
Annals of Biomedical Engineering|March 10, 2006
Unified approach for multiple sclerosis lesion segmentation on brain MRIBalasrinivasa Rao Sajja, Sushmita Datta, Renjie He, et al.
Journal of Magnetic Resonance Imaging : JMRI|April 30, 2016
Optimal combination of FLAIR and T2-weighted MRI for improved lesion contrast in multiple sclerosisRefaat E Gabr, Khader M Hasan, Muhammad E Haque, et al.
Pageof 14

Showing results (41-50 of 139) with videos related to

Sort By:
Pageof 14
Magnetic Resonance Imaging|November 1, 2019
Are multi-contrast magnetic resonance images necessary for segmenting multiple sclerosis brains? A large cohort study based on deep learningPonnada A Narayana, Ivan Coronado, Sheeba J Sujit, et al.
Journal of Magnetic Resonance Imaging : JMRI|December 20, 2008
Caudate nuclei volume, diffusion tensor metrics, and T(2) relaxation in healthy adults and relapsing-remitting multiple sclerosis patients: implications for understanding gray matter degenerationKhader M Hasan, Christopher Halphen, Arash Kamali, et al.
Neuroimage|August 30, 2005
Segmentation and quantification of black holes in multiple sclerosisSushmita Datta, Balasrinivasa Rao Sajja, Renjie He, et al.
Journal of Magnetic Resonance Imaging : JMRI|April 26, 2007
Segmentation of gadolinium-enhanced lesions on MRI in multiple sclerosisSushmita Datta, Balasrinivasa Rao Sajja, Renjie He, et al.
Journal of Magnetic Resonance Imaging : JMRI|October 19, 2019
Deep-Learning-Based Neural Tissue Segmentation of MRI in Multiple Sclerosis: Effect of Training Set SizePonnada A Narayana, Ivan Coronado, Sheeba J Sujit, et al.
Neurology|August 26, 2021
Comparison of the EDSS, Timed 25-Foot Walk, and the 9-Hole Peg Test as Clinical Trial Outcomes in Relapsing-Remitting Multiple SclerosisMarcus W Koch, Jop P Mostert, Jerry S Wolinsky, et al.
Radiology|December 18, 2019
Deep Learning for Predicting Enhancing Lesions in Multiple Sclerosis from Noncontrast MRIPonnada A Narayana, Ivan Coronado, Sheeba J Sujit, et al.
Neurology|August 11, 2021
Association of Age With Contrast-Enhancing Lesions Across the Multiple Sclerosis Disease SpectrumMarcus W Koch, Jop Mostert, Yinan Zhang, et al.
Annals of Biomedical Engineering|March 10, 2006
Unified approach for multiple sclerosis lesion segmentation on brain MRIBalasrinivasa Rao Sajja, Sushmita Datta, Renjie He, et al.
Journal of Magnetic Resonance Imaging : JMRI|April 30, 2016
Optimal combination of FLAIR and T2-weighted MRI for improved lesion contrast in multiple sclerosisRefaat E Gabr, Khader M Hasan, Muhammad E Haque, et al.
Pageof 14