Hao Zhou

发表

MRI features predict survival and molecular markers in diffuse lower-grade gliomas

D. Oldridge, Y. Tao, M. Vallières, 2017, Neuro-oncology.

Residual Convolutional Neural Network for the Determination of IDH Status in Low- and High-Grade Gliomas from MR Imaging

Raymond Y Huang, Andrew L Beers, B. Rosen, 2017, Clinical Cancer Research.

Growth Factor Receptor Vaccine Based on Xenogeneic Epidermal Immunogene Therapy of Tumors with

Li Yang, Li Yang, B. Kan, 2003 .

Immunogene Therapy of Tumors with Vaccine Based on Xenogeneic Epidermal Growth Factor Receptor1

F. Liu, Xia Zhao, L. Tian, 2003, The Journal of Immunology.

Title: Residual Convolutional Neural Network for Determination of IDH Status in Low-and High-grade Gliomas from MR Imaging

Andrew L Beers, Li Yang, Jayashree Kalpathy-Cramer, 2017 .

End-to-end artificial intelligence platform for the management of large vessel occlusions: A preliminary study.

U. Çetintemel, Z. Jiao, Harrison X. Bai, 2022, Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association.

Survival benefit of adjuvant radiotherapy in elderly patients with WHO grade Ⅲ meningioma.

Raymond Y Huang, H. Bai, Paul J Zhang, 2019, World neurosurgery.

Neurofascin antibodies in autoimmune, genetic, and idiopathic neuropathies

S. Scherer, M. Reilly, Hao Zhou, 2018, Neurology.

Letter to the Editor. Specificity and validity of putaminal involvement as a prognostic factor in Grade II insular gliomas.

H. Bai, Hao Zhou, Li Yang, 2017, Journal of neurosurgery.

MiR-15a contributes abnormal immune response in myasthenia gravis by targeting CXCL10.

Hao Zhou, Zhaohui Luo, Q. Zeng, 2016, Clinical immunology.

Prognostic relevance of epilepsy at presentation in lower-grade gliomas.

H. Bai, Hao Zhou, Li Yang, 2016, Neuro-oncology.

Evaluation of RAPNO criteria in medulloblastoma and other leptomeningeal seeding tumors using MRI and clinical data.

Raymond Y Huang, Sohil H. Patel, P. Wen, 2020, Neuro-oncology.

Exosomal circRNAs: Emerging Players in Tumor Metastasis

Hao Zhou, Xiaoyun He, Yuxiang He, 2021, Frontiers in Cell and Developmental Biology.

Machine learning reveals multimodal MRI patterns predictive of isocitrate dehydrogenase and 1p/19q status in diffuse low- and high-grade gliomas

Wenya Linda Bi, Martin Vallières, Ken Chang, 2019, Journal of Neuro-Oncology.

Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement

James M. Brown, Tracy T Batchelor, Jayashree Kalpathy-Cramer, 2019, Neuro-oncology.

CD14+ CD16++ monocytes are increased in patients with NMO and are selectively suppressed by glucocorticoids therapy

Hao Zhou, Liqun Xu, Zhaohui Luo, 2016, Journal of Neuroimmunology.

Deep Learning-Based Automatic Tumor Burden Assessment of Pediatric High-Grade Gliomas, Medulloblastomas, and Other Leptomeningeal Seeding Tumors.

Raymond Y Huang, Jayashree Kalpathy-Cramer, P. Wen, 2021, Neuro-oncology.

Beyond antioxidation: Harnessing the CeO2 nanoparticles as a renoprotective contrast agent for in vivo spectral CT angiography.

H. Bai, Hao Zhou, Weihua Liao, 2023, Biomaterials.

Performance of 18F-FET-PET versus 18F-FDG-PET for the diagnosis and grading of brain tumors: inherent bias in meta-analysis not revealed by quality metrics.

Li Yang, Hao Zhou, Xiangyan Huang, 2016, Neuro-oncology.

Corrigendum to: Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors.

Raymond Y Huang, Jayashree Kalpathy-Cramer, P. Wen, 2021, Neuro-oncology.