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Jingliang Cheng

Showing results (421-430 of 463) with videos related to

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Laboratory Investigation; a Journal of Technical Methods and Pathology|November 16, 2021
Predicting 1p/19q co-deletion status from magnetic resonance imaging using deep learning in adult-type diffuse lower-grade gliomas: a discovery and validation studyJing Yan, Shenghai Zhang, Qiuchang Sun, et al.
Frontiers in Oncology|February 7, 2022
Radiomics and Qualitative Features From Multiparametric MRI Predict Molecular Subtypes in Patients With Lower-Grade GliomaChen Sun, Liyuan Fan, Wenqing Wang, et al.
Journal of Magnetic Resonance Imaging : JMRI|February 2, 2023
Improving Noninvasive Classification of Molecular Subtypes of Adult Gliomas With Diffusion-Weighted MR Imaging: An Externally Validated Machine Learning AlgorithmYang Guo, Zeyu Ma, Dongling Pei, et al.
Science Advances|June 12, 2024
Neuroimaging epicenters as potential sites of onset of the neuroanatomical pathology in schizophreniaYuchao Jiang, Lena Palaniyappan, Cheng Luo, et al.
European Radiology|February 28, 2023
Radiomic features from dynamic susceptibility contrast perfusion-weighted imaging improve the three-class prediction of molecular subtypes in patients with adult diffuse gliomasDongling Pei, Fangzhan Guan, Xuanke Hong, et al.
Journal of Thoracic Imaging|September 26, 2022
Coronary Computed Tomography Angiography-derived Fractional Flow Reserve: An Expert Consensus Document of Chinese Society of RadiologyLong Jiang Zhang, Chunxiang Tang, Pengpeng Xu, et al.
Molecular Psychiatry|July 28, 2021
Resolving heterogeneity in schizophrenia through a novel systems approach to brain structure: individualized structural covariance network analysisZhaowen Liu, Lena Palaniyappan, Xinran Wu, et al.
BMC Cancer|September 11, 2023
Radiomic features from multiparametric magnetic resonance imaging predict molecular subgroups of pediatric low-grade gliomasZhen Liu, Xuanke Hong, Linglong Wang, et al.
Ebiomedicine|October 23, 2020
Incremental prognostic value and underlying biological pathways of radiomics patterns in medulloblastomaJing Yan, Shenghai Zhang, Kay Ka-Wai Li, et al.
Ebiomedicine|September 26, 2021
Deep learning features from diffusion tensor imaging improve glioma stratification and identify risk groups with distinct molecular pathway activitiesJing Yan, Yuanshen Zhao, Yinsheng Chen, et al.
Pageof 47

Showing results (421-430 of 463) with videos related to

Sort By:
Pageof 47
Laboratory Investigation; a Journal of Technical Methods and Pathology|November 16, 2021
Predicting 1p/19q co-deletion status from magnetic resonance imaging using deep learning in adult-type diffuse lower-grade gliomas: a discovery and validation studyJing Yan, Shenghai Zhang, Qiuchang Sun, et al.
Frontiers in Oncology|February 7, 2022
Radiomics and Qualitative Features From Multiparametric MRI Predict Molecular Subtypes in Patients With Lower-Grade GliomaChen Sun, Liyuan Fan, Wenqing Wang, et al.
Journal of Magnetic Resonance Imaging : JMRI|February 2, 2023
Improving Noninvasive Classification of Molecular Subtypes of Adult Gliomas With Diffusion-Weighted MR Imaging: An Externally Validated Machine Learning AlgorithmYang Guo, Zeyu Ma, Dongling Pei, et al.
Science Advances|June 12, 2024
Neuroimaging epicenters as potential sites of onset of the neuroanatomical pathology in schizophreniaYuchao Jiang, Lena Palaniyappan, Cheng Luo, et al.
European Radiology|February 28, 2023
Radiomic features from dynamic susceptibility contrast perfusion-weighted imaging improve the three-class prediction of molecular subtypes in patients with adult diffuse gliomasDongling Pei, Fangzhan Guan, Xuanke Hong, et al.
Journal of Thoracic Imaging|September 26, 2022
Coronary Computed Tomography Angiography-derived Fractional Flow Reserve: An Expert Consensus Document of Chinese Society of RadiologyLong Jiang Zhang, Chunxiang Tang, Pengpeng Xu, et al.
Molecular Psychiatry|July 28, 2021
Resolving heterogeneity in schizophrenia through a novel systems approach to brain structure: individualized structural covariance network analysisZhaowen Liu, Lena Palaniyappan, Xinran Wu, et al.
BMC Cancer|September 11, 2023
Radiomic features from multiparametric magnetic resonance imaging predict molecular subgroups of pediatric low-grade gliomasZhen Liu, Xuanke Hong, Linglong Wang, et al.
Ebiomedicine|October 23, 2020
Incremental prognostic value and underlying biological pathways of radiomics patterns in medulloblastomaJing Yan, Shenghai Zhang, Kay Ka-Wai Li, et al.
Ebiomedicine|September 26, 2021
Deep learning features from diffusion tensor imaging improve glioma stratification and identify risk groups with distinct molecular pathway activitiesJing Yan, Yuanshen Zhao, Yinsheng Chen, et al.
Pageof 47