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Chendan Jiang

Showing results (1-10 of 18) with videos related to

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Clinical Reviews in Allergy & Immunology|July 19, 2020
Machine Learning in Rheumatic DiseasesMengdi Jiang, Yueting Li, Chendan Jiang, et al.
Clinical Nuclear Medicine|November 19, 2020
Quantitative Features From CHO PET Distinguish the WHO Grades of Primary Diffuse GliomaZiren Kong, Chendan Jiang, Delin Liu, et al.
Bioengineering (Basel, Switzerland)|November 25, 2023
Machine Learning Approaches to Differentiate Sellar-Suprasellar Cystic Lesions on Magnetic Resonance ImagingChendan Jiang, Wentai Zhang, He Wang, et al.
BMC Neuroscience|December 5, 2022
Feasibility of evaluating the histologic and genetic subtypes of WHO grade II-IV gliomas by diffusion-weighted imagingSirui Liu, Yiwei Zhang, Ziren Kong, et al.
Angiogenesis|December 5, 2024
Inhibition of Angiopoietin-2 rescues sporadic brain arteriovenous malformations by reducing pericyte lossTianqi Tu, Shikun Zhang, Jingwei Li, et al.
Neuroimage. Clinical|September 8, 2019
<sup>18</sup>F-FDG-PET-based radiomics features to distinguish primary central nervous system lymphoma from glioblastomaZiren Kong, Chendan Jiang, Ruizhe Zhu, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|August 21, 2019
<sup>18</sup>F-FDG-PET-based Radiomics signature predicts MGMT promoter methylation status in primary diffuse gliomaZiren Kong, Yusong Lin, Chendan Jiang, et al.
Neuroendocrinology|July 19, 2019
Deep-Learning Approach to Automatic Identification of Facial Anomalies in Endocrine DisordersRen Wei, Chendan Jiang, Jun Gao, et al.
Neuroradiology|April 3, 2020
Conventional magnetic resonance imaging-based radiomic signature predicts telomerase reverse transcriptase promoter mutation status in grade II and III gliomasChendan Jiang, Ziren Kong, Yiwei Zhang, et al.
European Journal of Radiology|November 10, 2019
Fusion Radiomics Features from Conventional MRI Predict MGMT Promoter Methylation Status in Lower Grade GliomasChendan Jiang, Ziren Kong, Sirui Liu, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Clinical Reviews in Allergy & Immunology|July 19, 2020
Machine Learning in Rheumatic DiseasesMengdi Jiang, Yueting Li, Chendan Jiang, et al.
Clinical Nuclear Medicine|November 19, 2020
Quantitative Features From CHO PET Distinguish the WHO Grades of Primary Diffuse GliomaZiren Kong, Chendan Jiang, Delin Liu, et al.
Bioengineering (Basel, Switzerland)|November 25, 2023
Machine Learning Approaches to Differentiate Sellar-Suprasellar Cystic Lesions on Magnetic Resonance ImagingChendan Jiang, Wentai Zhang, He Wang, et al.
BMC Neuroscience|December 5, 2022
Feasibility of evaluating the histologic and genetic subtypes of WHO grade II-IV gliomas by diffusion-weighted imagingSirui Liu, Yiwei Zhang, Ziren Kong, et al.
Angiogenesis|December 5, 2024
Inhibition of Angiopoietin-2 rescues sporadic brain arteriovenous malformations by reducing pericyte lossTianqi Tu, Shikun Zhang, Jingwei Li, et al.
Neuroimage. Clinical|September 8, 2019
<sup>18</sup>F-FDG-PET-based radiomics features to distinguish primary central nervous system lymphoma from glioblastomaZiren Kong, Chendan Jiang, Ruizhe Zhu, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|August 21, 2019
<sup>18</sup>F-FDG-PET-based Radiomics signature predicts MGMT promoter methylation status in primary diffuse gliomaZiren Kong, Yusong Lin, Chendan Jiang, et al.
Neuroendocrinology|July 19, 2019
Deep-Learning Approach to Automatic Identification of Facial Anomalies in Endocrine DisordersRen Wei, Chendan Jiang, Jun Gao, et al.
Neuroradiology|April 3, 2020
Conventional magnetic resonance imaging-based radiomic signature predicts telomerase reverse transcriptase promoter mutation status in grade II and III gliomasChendan Jiang, Ziren Kong, Yiwei Zhang, et al.
European Journal of Radiology|November 10, 2019
Fusion Radiomics Features from Conventional MRI Predict MGMT Promoter Methylation Status in Lower Grade GliomasChendan Jiang, Ziren Kong, Sirui Liu, et al.
Pageof 2