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Haihui Jiang

peking university
H指数:19
被引数:1,022

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Machine learning based radiomics outperforms tumor/cerebellar peduncle T2-weighted imaging intensity ratios and ROIs-based apparent diffusion coefficient measurements in the preoperative prediction of meningioma consistency

基于机器学习的放射组学在术前预测脑膜瘤质地方面,优于肿瘤/小脑脚T2加权成像强度比值和基于感兴趣区域(ROIs)的表观扩散系数测量。

2025-12-120
OAAI
MR perfusion characteristics of pseudoprogression in brain tumors treated with immunotherapy - a comparative study with chemo-radiation induced pseudoprogression and radiation necrosis

免疫治疗脑肿瘤假性进展的MR灌注特征-与化学辐射诱发的假性进展和放射性坏死的比较研究

2024-12-170
OAAI
Orelabrutinib Combined With Lenalidomide and Immunochemotherapy for Relapsed/Refractory Primary Central Nervous System Lymphoma: A Retrospective Analysis of Case Series

奥列拉布替尼联合来那度胺和免疫化疗治疗复发/难治性原发性中枢神经系统淋巴瘤: 病例系列回顾性分析

2022-06-1623
OAAI
Distinguishing Pseudoprogression From True Early Progression in Isocitrate Dehydrogenase Wild-Type Glioblastoma by Interrogating Clinical, Radiological, and Molecular Features

通过询问临床,放射学和分子特征来区分异柠檬酸脱氢酶野生型胶质母细胞瘤的假进展与真正的早期进展

2021-04-2016
OAAI