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Intestinal fibrosis classification in patients with Crohn's disease using CT enterography-based deep learning: comparisons with radiomics and radiologists.
Published in:
European Radiology, 2022, v. 32, n. 12, p. 8692, doi. 10.1007/s00330-022-08842-z
By:
- Meng, Jixin;
- Luo, Zixin;
- Chen, Zhihui;
- Zhou, Jie;
- Chen, Zhao;
- Lu, Baolan;
- Zhang, Mengchen;
- Wang, Yangdi;
- Yuan, Chenglang;
- Shen, Xiaodi;
- Huang, Qinqin;
- Zhang, Zhuya;
- Ye, Ziyin;
- Cao, Qinghua;
- Zhou, Zhiyang;
- Xu, Yikai;
- Mao, Ren;
- Chen, Minhu;
- Sun, Canhui;
- Li, Ziping
Publication type:
Article
Multiomics reveals microbial metabolites as key actors in intestinal fibrosis in Crohn's disease.
Published in:
EMBO Molecular Medicine, 2024, v. 16, n. 10, p. 2427, doi. 10.1038/s44321-024-00129-8
By:
- Li, Xuehua;
- Hu, Shixian;
- Shen, Xiaodi;
- Zhang, Ruonan;
- Liu, Caiguang;
- Xiao, Lin;
- Lin, Jinjiang;
- Huang, Li;
- He, Weitao;
- Wang, Xinyue;
- Huang, Lili;
- Zheng, Qingzhu;
- Wu, Luyao;
- Sun, Canhui;
- Peng, Zhenpeng;
- Chen, Minhu;
- Li, Ziping;
- Feng, Rui;
- Zhu, Yijun;
- Wang, Yangdi
Publication type:
Article
Identifying patients with Crohn's disease at high risk of primary nonresponse to infliximab using a radiomic‐clinical model.
Published in:
International Journal of Intelligent Systems, 2022, v. 37, n. 12, p. 11853, doi. 10.1002/int.23066
By:
- Li, Xuehua;
- Zhong, Yingkui;
- Yuan, Chenglang;
- Lin, Jinjiang;
- Shen, Xiaodi;
- Guo, Minyi;
- Lu, Baolan;
- Meng, Jixin;
- Wang, Yangdi;
- Zhang, Naiwen;
- Luo, Zixin;
- Hu, Guimeng;
- Mao, Ren;
- Chen, Minhu;
- Sun, Canhui;
- Li, Ziping;
- Cao, Qing‐hua;
- Chen, Baili;
- Chen, Zhihui;
- Huang, Bingsheng
Publication type:
Article
A novel multidisciplinary machine learning approach based on clinical, imaging, colonoscopy, and pathology features for distinguishing intestinal tuberculosis from Crohn's disease.
Published in:
Abdominal Radiology, 2024, v. 49, n. 7, p. 2187, doi. 10.1007/s00261-024-04307-7
By:
- Lu, Baolan;
- Huang, Zengan;
- Lin, Jinjiang;
- Zhang, Ruonan;
- Shen, Xiaodi;
- Huang, Lili;
- Wang, Xinyue;
- He, Weitao;
- Huang, Qiapeng;
- Fang, Jiayu;
- Mao, Ren;
- Li, Zhoulei;
- Huang, Bingsheng;
- Feng, Shi-Ting;
- Ye, Ziying;
- Zhang, Jian;
- Wang, Yangdi
Publication type:
Article
Potentiation of tumor radiotherapy by a radiation-inducible oncolytic and oncoapoptotic adenovirus in cervical cancer xenografts.
Published in:
International Journal of Cancer, 2012, v. 130, n. 2, p. 443, doi. 10.1002/ijc.26013
By:
- Wang, Haibo;
- Song, Xin;
- Zhang, He;
- Zhang, Jianjun;
- Shen, Xiaodi;
- Zhou, Yixiong;
- Fan, Xianqun;
- Dai, Liyan;
- Qian, Guanxiang;
- Hoffman, Andrew R.;
- Hu, Ji-Fan;
- Ge, Shengfang
Publication type:
Article
Comparative analysis of [<sup>18</sup>F]F-FAPI PET/CT, [<sup>18</sup>F]F-FDG PET/CT and magnetization transfer MR imaging to detect intestinal fibrosis in Crohn's disease: A prospective animal model and human cohort study.
Published in:
European Journal of Nuclear Medicine & Molecular Imaging, 2024, v. 51, n. 7, p. 1856, doi. 10.1007/s00259-024-06644-7
By:
- Li, Zhoulei;
- Chen, Zhihui;
- Zhang, Ruonan;
- Lin, Jinjiang;
- Huang, Siyun;
- Shi, Kuangyu;
- Shen, Xiaodi;
- Xiang, Zijun;
- Wang, Xinyue;
- Huang, Lili;
- Zheng, Qingzhu;
- Liu, Xubin;
- Tan, Jinyu;
- Chen, Minhu;
- Li, Ziping;
- Mao, Ren;
- Zhang, Xiangsong;
- Wang, Yangdi;
- Song, Xinming;
- Li, Xuehua
Publication type:
Article
Mesenteric abnormalities play an important role in grading intestinal fibrosis in patients with Crohn's disease: a computed tomography and clinical marker-based nomogram.
Published in:
Therapeutic Advances in Gastroenterology, 2022, v. 15, p. 1, doi. 10.1177/17562848221122504
By:
- Meng, Jixin;
- Mao, Yitao;
- Zhou, Jie;
- Chen, Zhao;
- Huang, Siyun;
- Wang, Yangdi;
- Huang, Li;
- Zhang, Ruonan;
- Shen, Xiaodi;
- Lv, Wen;
- Xiao, Juxiong;
- Ye, Ziyin;
- Chen, Zhihui;
- Mao, Ren;
- Sun, Canhui;
- Li, Ziping;
- Feng, Shi-Ting;
- Lin, Shaochun;
- Li, Xuehua
Publication type:
Article

Found: 7

Intestinal fibrosis classification in patients with Crohn's disease using CT enterography-based deep learning: comparisons with radiomics and radiologists.

Multiomics reveals microbial metabolites as key actors in intestinal fibrosis in Crohn's disease.

Identifying patients with Crohn's disease at high risk of primary nonresponse to infliximab using a radiomic‐clinical model.

A novel multidisciplinary machine learning approach based on clinical, imaging, colonoscopy, and pathology features for distinguishing intestinal tuberculosis from Crohn's disease.

Potentiation of tumor radiotherapy by a radiation-inducible oncolytic and oncoapoptotic adenovirus in cervical cancer xenografts.

Comparative analysis of [<sup>18</sup>F]F-FAPI PET/CT, [<sup>18</sup>F]F-FDG PET/CT and magnetization transfer MR imaging to detect intestinal fibrosis in Crohn's disease: A prospective animal model and human cohort study.

Mesenteric abnormalities play an important role in grading intestinal fibrosis in patients with Crohn's disease: a computed tomography and clinical marker-based nomogram.