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Ramesh Sridharan

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

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Advances in Neural Information Processing Systems|May 20, 2014
Categories and Functional Units: An Infinite Hierarchical Model for Brain ActivationsDanial Lashkari, Ramesh Sridharan, Polina Golland
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|February 9, 2016
Predictive Modeling of Anatomy with Genetic and Clinical DataAdrian V Dalca, Ramesh Sridharan, Mert R Sabuncu, et al.
Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops|August 16, 2011
Nonparametric Hierarchical Bayesian Model for Functional Brain ParcellationDanial Lashkari, Ramesh Sridharan, Edward Vul, et al.
Neuroimage|September 3, 2011
Search for patterns of functional specificity in the brain: a nonparametric hierarchical Bayesian model for group fMRI dataDanial Lashkari, Ramesh Sridharan, Edward Vul, et al.
Multimodal Brain Image Analysis : Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013 : Proceedings. MBIA (Workshop) (3Rd : 2013 : Nagoya-Shi, Japan)|January 30, 2015
Quantification and Analysis of Large Multimodal Clinical Image Studies: Application to StrokeRamesh Sridharan, Adrian V Dalca, Kaitlin M Fitzpatrick, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 9, 2014
Segmentation of cerebrovascular pathologies in stroke patients with spatial and shape priorsAdrian Vasile Dalca, Ramesh Sridharan, Lisa Cloonan, et al.
Neurology|June 5, 2020
White matter hyperintensity burden in acute stroke patients differs by ischemic stroke subtypeAnne-Katrin Giese, Markus D Schirmer, Adrian V Dalca, et al.
Neuroimage. Clinical|June 15, 2019
White matter hyperintensity quantification in large-scale clinical acute ischemic stroke cohorts - The MRI-GENIE studyMarkus D Schirmer, Adrian V Dalca, Ramesh Sridharan, et al.
Neurology. Genetics|August 31, 2017
Design and rationale for examining neuroimaging genetics in ischemic stroke: The MRI-GENIE studyAnne-Katrin Giese, Markus D Schirmer, Kathleen L Donahue, et al.
Frontiers in Neurology|July 17, 2020
Diffusion-Weighted Imaging, MR Angiography, and Baseline Data in a Systematic Multicenter Analysis of 3,301 MRI Scans of Ischemic Stroke Patients-Neuroradiological Review Within the MRI-GENIE StudyMattias Drake, Petrea Frid, Björn M Hansen, et al.
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Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Advances in Neural Information Processing Systems|May 20, 2014
Categories and Functional Units: An Infinite Hierarchical Model for Brain ActivationsDanial Lashkari, Ramesh Sridharan, Polina Golland
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|February 9, 2016
Predictive Modeling of Anatomy with Genetic and Clinical DataAdrian V Dalca, Ramesh Sridharan, Mert R Sabuncu, et al.
Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops|August 16, 2011
Nonparametric Hierarchical Bayesian Model for Functional Brain ParcellationDanial Lashkari, Ramesh Sridharan, Edward Vul, et al.
Neuroimage|September 3, 2011
Search for patterns of functional specificity in the brain: a nonparametric hierarchical Bayesian model for group fMRI dataDanial Lashkari, Ramesh Sridharan, Edward Vul, et al.
Multimodal Brain Image Analysis : Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013 : Proceedings. MBIA (Workshop) (3Rd : 2013 : Nagoya-Shi, Japan)|January 30, 2015
Quantification and Analysis of Large Multimodal Clinical Image Studies: Application to StrokeRamesh Sridharan, Adrian V Dalca, Kaitlin M Fitzpatrick, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 9, 2014
Segmentation of cerebrovascular pathologies in stroke patients with spatial and shape priorsAdrian Vasile Dalca, Ramesh Sridharan, Lisa Cloonan, et al.
Neurology|June 5, 2020
White matter hyperintensity burden in acute stroke patients differs by ischemic stroke subtypeAnne-Katrin Giese, Markus D Schirmer, Adrian V Dalca, et al.
Neuroimage. Clinical|June 15, 2019
White matter hyperintensity quantification in large-scale clinical acute ischemic stroke cohorts - The MRI-GENIE studyMarkus D Schirmer, Adrian V Dalca, Ramesh Sridharan, et al.
Neurology. Genetics|August 31, 2017
Design and rationale for examining neuroimaging genetics in ischemic stroke: The MRI-GENIE studyAnne-Katrin Giese, Markus D Schirmer, Kathleen L Donahue, et al.
Frontiers in Neurology|July 17, 2020
Diffusion-Weighted Imaging, MR Angiography, and Baseline Data in a Systematic Multicenter Analysis of 3,301 MRI Scans of Ischemic Stroke Patients-Neuroradiological Review Within the MRI-GENIE StudyMattias Drake, Petrea Frid, Björn M Hansen, et al.
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