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Hai-Yang Geng

Shenzhen University

3688 Nanhai Road, Nanshan District

Shenzhen, Guangdong 518060

China

SCHOLARLY PAPERS

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Scholarly Papers (1)

1.

Radiomic Features from Multi-Modal MRI Combined with Clinical Parameters Predict Molecular Subgroups in Patients with Medulloblastoma

Number of pages: 35 Posted: 13 Nov 2019
Zhengzhou University - First Affiliated Hospital, Chinese Academy of Sciences (CAS) - Institute of Biomedical and Health Engineering, Zhengzhou University - First Affiliated Hospital, The Chinese University of Hong Kong (CUHK) - Department of Anatomical and Cellular Pathology, Zhengzhou University - Department of Neurosurgery, Zhengzhou University - First Affiliated Hospital, Shenzhen Institute of Neuroscience, Shenzhen University, Chinese Academy of Sciences (CAS) - Institute of Biomedical and Health Engineering, Zhengzhou University - Department of Neurosurgery, Zhengzhou University - Department of Neurosurgery, Zhengzhou University - Department of Neurosurgery, Zhengzhou University - Department of Neurosurgery, Zhengzhou University - Department of Neurosurgery, Zhengzhou University - Department of Neurosurgery, Zhengzhou University - Department of Neurosurgery, Zhengzhou University - Department of Neurosurgery, Zhengzhou University - Department of Neurosurgery, Zhengzhou University - Department of Neurosurgery, Zhengzhou University - First Affiliated Hospital, Zhengzhou University - First Affiliated Hospital, Zhengzhou University - Department of Neurosurgery, The Chinese University of Hong Kong (CUHK) - Department of Anatomical and Cellular Pathology, Chinese Academy of Sciences (CAS) - Institute of Biomedical and Health Engineering and Zhengzhou University - Department of Neurosurgery
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Abstract:

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medulloblastoma, radiomics, molecular subgroups, machine learning, prediction