Xiang Ge
11 Papers
Xiang Ge is an academic researcher. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 3, co-authored 7 publications.
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Papers
An updated systematic review of radiomics in osteosarcoma: utilizing CLAIM to adapt the increasing trend of deep learning application in radiomics
Jingyu Zhong,Yangfan Hu,Guangcheng Zhang,Yue Xing,Defang Ding,Xiang Ge,Zhen Pan,Qingcheng Yang,Qian Yin,Huizhen Zhang,Huan Zhang,Weiwu Yao +11 more
TL;DR: Wang et al. as discussed by the authors conducted a systematic review of radiomics in osteosarcoma, and the results showed that the quality of the radiomics studies is insufficient. But, they also pointed out that more investigation is needed before using radiomics to optimize osteoarth cancer treatment.
A systematic review of radiomics in chondrosarcoma: assessment of study quality and clinical value needs handy tools
Jingyu Zhong,Yangfan Hu,Xiang Ge,Yue Xing,Defang Ding,Guangcheng Zhang,Huan Zhang,Qingcheng Yang,Weiwu Yao +8 more
TL;DR: It is necessary to establish one widely acceptable methodological and reporting guideline for radiomics research according to the RQS rating, the TRIPOD checklist, and the IBSI guideline, which have largely overlapped with each other.
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Evaluation of Image Quality and Detectability of Deep Learning Image Reconstruction (DLIR) Algorithm in Single- and Dual-energy CT
Jingyu Zhong,Hailin Shen,Yong Chen,Yihan Xia,Xiaomeng Shi,Jianying Li,Yue Xing,Yangfan Hu,Xiang Ge,Defang Ding,Weiwu Yao +10 more
TL;DR: DECT with DLIR-H yields a gain in objective detectability index compared to full-dose AV-40 SECT images used in daily practice, and subjective evaluation showed higher image quality and better detectability.
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An overview of meta-analyses on radiomics: more evidence is needed to support clinical translation
Jingyu Zhong,Junjie Lu,Guangcheng Zhang,Shiqi Mao,Qian Yin,Yangfan Hu,Yue Xing,Defang Ding,Xiang Ge,Huan Zhang,Weiwu Yao +10 more
TL;DR: In this paper , the authors conducted an overview of meta-analyses of radiomics studies assessing their study quality and evidence level, and identified 44 systematic reviews with meta-analysis on radiomics research.
The endorsement of general and artificial intelligence reporting guidelines in radiological journals: a meta-research study
Jingyu Zhong,Yue Xing,Junjie Lu,Guangcheng Zhang,Shiqi Mao,Haoda Chen,Qian Yin,Qingqing Cen,Run Jiang,Yangfan Hu,Defang Ding,Xiang Ge,Huan Zhang,Weiwu Yao +13 more
TL;DR: The general reporting guideline endorsement was suboptimal in radiological journals, and the implementation of reporting guidelines for AI applications in medical imaging was extremely low.
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