Hai J - Search Results

1

Application of CT radiomics in prediction of early recurrence in hepatocellular carcinoma.

Ning P, Gao F, Hai J, Wu M, Chen J, Zhu S, Wang M, Shi D. Ning P, et al. Among authors: hai j. Abdom Radiol (NY). 2020 Jan;45(1):64-72. doi: 10.1007/s00261-019-02198-7. Abdom Radiol (NY). 2020. PMID: 31486869

2

Predicting the grade of hepatocellular carcinoma based on non-contrast-enhanced MRI radiomics signature.

Wu M, Tan H, Gao F, Hai J, Ning P, Chen J, Zhu S, Wang M, Dou S, Shi D. Wu M, et al. Among authors: hai j. Eur Radiol. 2019 Jun;29(6):2802-2811. doi: 10.1007/s00330-018-5787-2. Epub 2018 Nov 7. Eur Radiol. 2019. PMID: 30406313

3

Multi-level features combined end-to-end learning for automated pathological grading of breast cancer on digital mammograms.

Hai J, Tan H, Chen J, Wu M, Qiao K, Xu J, Zeng L, Gao F, Shi D, Yan B. Hai J, et al. Comput Med Imaging Graph. 2019 Jan;71:58-66. doi: 10.1016/j.compmedimag.2018.10.008. Epub 2018 Nov 13. Comput Med Imaging Graph. 2019. PMID: 30504094

4

Fully Convolutional DenseNet with Multiscale Context for Automated Breast Tumor Segmentation.

Hai J, Qiao K, Chen J, Tan H, Xu J, Zeng L, Shi D, Yan B. Hai J, et al. J Healthc Eng. 2019 Jan 14;2019:8415485. doi: 10.1155/2019/8415485. eCollection 2019. J Healthc Eng. 2019. PMID: 30774849 Free PMC article.

5

[Quantitative analysis of hepatocellular carcinomas pathological grading in non-contrast magnetic resonance images].

Gao F, Yan B, Zeng L, Wu M, Tan H, Hai J, Ning P, Shi D. Gao F, et al. Among authors: hai j. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2019 Aug 25;36(4):581-589. doi: 10.7507/1001-5515.201803014. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2019. PMID: 31441258 Free PMC article. Chinese.

6

Multicenter Computer-Aided Diagnosis for Lymph Nodes Using Unsupervised Domain-Adaptation Networks Based on Cross-Domain Confounding Representations.

Qin R, Zhang H, Jiang L, Qiao K, Hai J, Chen J, Xu J, Shi D, Yan B. Qin R, et al. Among authors: hai j. Comput Math Methods Med. 2020 Jan 24;2020:3709873. doi: 10.1155/2020/3709873. eCollection 2020. Comput Math Methods Med. 2020. PMID: 32454880 Free PMC article.

7

Preliminary study on the application of renal ultrasonography radiomics in the classification of glomerulopathy.

Zhang L, Chen Z, Feng L, Guo L, Liu D, Hai J, Qiao K, Chen J, Yan B, Cheng G. Zhang L, et al. Among authors: hai j. BMC Med Imaging. 2021 Jul 23;21(1):115. doi: 10.1186/s12880-021-00647-8. BMC Med Imaging. 2021. PMID: 34301205 Free PMC article.

8

Multi-view features integrated 2D\3D Net for glomerulopathy histologic types classification using ultrasound images.

Hai J, Qiao K, Chen J, Liang N, Zhang L, Yan B. Hai J, et al. Comput Methods Programs Biomed. 2021 Nov;212:106439. doi: 10.1016/j.cmpb.2021.106439. Epub 2021 Oct 5. Comput Methods Programs Biomed. 2021. PMID: 34695734

9

Policy Learning for Actively Labeled Sample Selection on Lumbar Semi-supervised Classification.

Hai J, Chen J, Qiao K, Su Z, Lu H, Yan B. Hai J, et al. J Imaging Inform Med. 2024 Jul 17. doi: 10.1007/s10278-024-01167-x. Online ahead of print. J Imaging Inform Med. 2024. PMID: 39020159

10

Semantic contrast with uncertainty-aware pseudo label for lumbar semi-supervised classification.

Hai J, Chen J, Qiao K, Liang N, Su Z, Lv H, Yan B. Hai J, et al. Comput Biol Med. 2024 Aug;178:108754. doi: 10.1016/j.compbiomed.2024.108754. Epub 2024 Jun 15. Comput Biol Med. 2024. PMID: 38878404

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