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Yaou Liu

Showing results (181-190 of 207) with videos related to

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Journal of Neurology|April 1, 2024
Spinal cord and brain atrophy patterns in neuromyelitis optica spectrum disorder and multiple sclerosisTiantian Hua, Houyou Fan, Yunyun Duan, et al.
Cell Discovery|July 21, 2023
The STROMICS genome study: deep whole-genome sequencing and analysis of 10K Chinese patients with ischemic stroke reveal complex genetic and phenotypic interplaySi Cheng, Zhe Xu, Shengzhe Bian, et al.
Journal of Magnetic Resonance Imaging : JMRI|January 24, 2023
Deep Learning for Noninvasive Assessment of H3 K27M Mutation Status in Diffuse Midline Gliomas Using MR ImagingJunjie Li, Peng Zhang, Liying Qu, et al.
Journal of Neurology|January 2, 2021
Subtyping relapsing-remitting multiple sclerosis using structural MRIZhizheng Zhuo, Yongmei Li, Yunyun Duan, et al.
Cancer Letters|March 9, 2026
The CGCG Response Assessment Criteria for Spinal Cord GliomasYongzhi Wang, Wenqing Jia, Ruichao Chai, et al.
Science Bulletin|February 6, 2024
DeepWMH: A deep learning tool for accurate white matter hyperintensity segmentation without requiring manual annotations for trainingChenghao Liu, Zhizheng Zhuo, Liying Qu, et al.
Journal of Translational Medicine|May 27, 2023
Cerebellar connectome alterations and associated genetic signatures in multiple sclerosis and neuromyelitis optica spectrum disorderYuping Yang, Junle Li, Ting Li, et al.
Journal of Neurology|July 5, 2020
Reduced accuracy of MRI deep grey matter segmentation in multiple sclerosis: an evaluation of four automated methods against manual reference segmentations in a multi-center cohortAlexandra de Sitter, Tom Verhoeven, Jessica Burggraaff, et al.
Neuroimage. Clinical|April 21, 2021
Development and evaluation of a manual segmentation protocol for deep grey matter in multiple sclerosis: Towards accelerated semi-automated referencesAlexandra de Sitter, Jessica Burggraaff, Fabian Bartel, et al.
Neuroimage|September 14, 2017
Performance of five research-domain automated WM lesion segmentation methods in a multi-center MS studyAlexandra de Sitter, Martijn D Steenwijk, Aurélie Ruet, et al.
Pageof 21

Showing results (181-190 of 207) with videos related to

Sort By:
Pageof 21
Journal of Neurology|April 1, 2024
Spinal cord and brain atrophy patterns in neuromyelitis optica spectrum disorder and multiple sclerosisTiantian Hua, Houyou Fan, Yunyun Duan, et al.
Cell Discovery|July 21, 2023
The STROMICS genome study: deep whole-genome sequencing and analysis of 10K Chinese patients with ischemic stroke reveal complex genetic and phenotypic interplaySi Cheng, Zhe Xu, Shengzhe Bian, et al.
Journal of Magnetic Resonance Imaging : JMRI|January 24, 2023
Deep Learning for Noninvasive Assessment of H3 K27M Mutation Status in Diffuse Midline Gliomas Using MR ImagingJunjie Li, Peng Zhang, Liying Qu, et al.
Journal of Neurology|January 2, 2021
Subtyping relapsing-remitting multiple sclerosis using structural MRIZhizheng Zhuo, Yongmei Li, Yunyun Duan, et al.
Cancer Letters|March 9, 2026
The CGCG Response Assessment Criteria for Spinal Cord GliomasYongzhi Wang, Wenqing Jia, Ruichao Chai, et al.
Science Bulletin|February 6, 2024
DeepWMH: A deep learning tool for accurate white matter hyperintensity segmentation without requiring manual annotations for trainingChenghao Liu, Zhizheng Zhuo, Liying Qu, et al.
Journal of Translational Medicine|May 27, 2023
Cerebellar connectome alterations and associated genetic signatures in multiple sclerosis and neuromyelitis optica spectrum disorderYuping Yang, Junle Li, Ting Li, et al.
Journal of Neurology|July 5, 2020
Reduced accuracy of MRI deep grey matter segmentation in multiple sclerosis: an evaluation of four automated methods against manual reference segmentations in a multi-center cohortAlexandra de Sitter, Tom Verhoeven, Jessica Burggraaff, et al.
Neuroimage. Clinical|April 21, 2021
Development and evaluation of a manual segmentation protocol for deep grey matter in multiple sclerosis: Towards accelerated semi-automated referencesAlexandra de Sitter, Jessica Burggraaff, Fabian Bartel, et al.
Neuroimage|September 14, 2017
Performance of five research-domain automated WM lesion segmentation methods in a multi-center MS studyAlexandra de Sitter, Martijn D Steenwijk, Aurélie Ruet, et al.
Pageof 21