Jian J - Search Results

1

Deep learning-based fully automated detection and segmentation of lymph nodes on multiparametric-mri for rectal cancer: A multicentre study.

Zhao X, Xie P, Wang M, Li W, Pickhardt PJ, Xia W, Xiong F, Zhang R, Xie Y, Jian J, Bai H, Ni C, Gu J, Yu T, Tang Y, Gao X, Meng X. Zhao X, et al. Among authors: jian j. EBioMedicine. 2020 Jun;56:102780. doi: 10.1016/j.ebiom.2020.102780. Epub 2020 Jun 5. EBioMedicine. 2020. PMID: 32512507 Free PMC article.

2

Fully convolutional networks (FCNs)-based segmentation method for colorectal tumors on T2-weighted magnetic resonance images.

Jian J, Xiong F, Xia W, Zhang R, Gu J, Wu X, Meng X, Gao X. Jian J, et al. Australas Phys Eng Sci Med. 2018 Jun;41(2):393-401. doi: 10.1007/s13246-018-0636-9. Epub 2018 Apr 13. Australas Phys Eng Sci Med. 2018. PMID: 29654521

3

Can peritumoral radiomics increase the efficiency of the prediction for lymph node metastasis in clinical stage T1 lung adenocarcinoma on CT?

Wang X, Zhao X, Li Q, Xia W, Peng Z, Zhang R, Li Q, Jian J, Wang W, Tang Y, Liu S, Gao X. Wang X, et al. Among authors: jian j. Eur Radiol. 2019 Nov;29(11):6049-6058. doi: 10.1007/s00330-019-06084-0. Epub 2019 Mar 18. Eur Radiol. 2019. PMID: 30887209

4

Full convolutional network based multiple side-output fusion architecture for the segmentation of rectal tumors in magnetic resonance images: A multi-vendor study.

Wang M, Xie P, Ran Z, Jian J, Zhang R, Xia W, Yu T, Ni C, Gu J, Gao X, Meng X. Wang M, et al. Among authors: jian j. Med Phys. 2019 Jun;46(6):2659-2668. doi: 10.1002/mp.13541. Epub 2019 Apr 29. Med Phys. 2019. PMID: 30972763

5

MRI-Based Machine Learning for Differentiating Borderline From Malignant Epithelial Ovarian Tumors: A Multicenter Study.

Li Y, Jian J, Pickhardt PJ, Ma F, Xia W, Li H, Zhang R, Zhao S, Cai S, Zhao X, Zhang J, Zhang G, Jiang J, Zhang Y, Wang K, Lin G, Feng F, Lu J, Deng L, Wu X, Qiang J, Gao X. Li Y, et al. Among authors: jian j. J Magn Reson Imaging. 2020 Sep;52(3):897-904. doi: 10.1002/jmri.27084. Epub 2020 Feb 11. J Magn Reson Imaging. 2020. PMID: 32045064

6

Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma: Initial Application of a Radiomic Algorithm Based on Grayscale Ultrasound Images.

Dong Y, Zhou L, Xia W, Zhao XY, Zhang Q, Jian JM, Gao X, Wang WP. Dong Y, et al. Front Oncol. 2020 Mar 19;10:353. doi: 10.3389/fonc.2020.00353. eCollection 2020. Front Oncol. 2020. PMID: 32266138 Free PMC article.

7

A cross-modal 3D deep learning for accurate lymph node metastasis prediction in clinical stage T1 lung adenocarcinoma.

Zhao X, Wang X, Xia W, Li Q, Zhou L, Li Q, Zhang R, Cai J, Jian J, Fan L, Wang W, Bai H, Li Z, Xiao Y, Tang Y, Gao X, Liu S. Zhao X, et al. Among authors: jian j. Lung Cancer. 2020 Jul;145:10-17. doi: 10.1016/j.lungcan.2020.04.014. Epub 2020 Apr 25. Lung Cancer. 2020. PMID: 32387813

8

MR image-based radiomics to differentiate type Ι and type ΙΙ epithelial ovarian cancers.

Jian J, Li Y, Pickhardt PJ, Xia W, He Z, Zhang R, Zhao S, Zhao X, Cai S, Zhang J, Zhang G, Jiang J, Zhang Y, Wang K, Lin G, Feng F, Wu X, Gao X, Qiang J. Jian J, et al. Eur Radiol. 2021 Jan;31(1):403-410. doi: 10.1007/s00330-020-07091-2. Epub 2020 Aug 2. Eur Radiol. 2021. PMID: 32743768

9

Deep Learning Predicts Overall Survival of Patients With Unresectable Hepatocellular Carcinoma Treated by Transarterial Chemoembolization Plus Sorafenib.

Zhang L, Xia W, Yan ZP, Sun JH, Zhong BY, Hou ZH, Yang MJ, Zhou GH, Wang WS, Zhao XY, Jian JM, Huang P, Zhang R, Zhang S, Zhang JY, Li Z, Zhu XL, Gao X, Ni CF. Zhang L, et al. Front Oncol. 2020 Sep 30;10:593292. doi: 10.3389/fonc.2020.593292. eCollection 2020. Front Oncol. 2020. PMID: 33102242 Free PMC article.

10

CT-based radiomics signatures can predict the tumor response of non-small cell lung cancer patients treated with first-line chemotherapy and targeted therapy.

Yang F, Zhang J, Zhou L, Xia W, Zhang R, Wei H, Feng J, Zhao X, Jian J, Gao X, Yuan S. Yang F, et al. Among authors: jian j. Eur Radiol. 2022 Mar;32(3):1538-1547. doi: 10.1007/s00330-021-08277-y. Epub 2021 Sep 26. Eur Radiol. 2022. PMID: 34564744 Clinical Trial.

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