Cai HM - Search Results

1

Molecular prognostic prediction for locally advanced nasopharyngeal carcinoma by support vector machine integrated approach.

Wan XB, Zhao Y, Fan XJ, Cai HM, Zhang Y, Chen MY, Xu J, Wu XY, Li HB, Zeng YX, Hong MH, Liu Q. Wan XB, et al. Among authors: cai hm. PLoS One. 2012;7(3):e31989. doi: 10.1371/journal.pone.0031989. Epub 2012 Mar 9. PLoS One. 2012. PMID: 22427815 Free PMC article. Clinical Trial.

2

Development of a ten-signature classifier using a support vector machine integrated approach to subdivide the M1 stage into M1a and M1b stages of nasopharyngeal carcinoma with synchronous metastases to better predict patients' survival.

Jiang R, You R, Pei XQ, Zou X, Zhang MX, Wang TM, Sun R, Luo DH, Huang PY, Chen QY, Hua YJ, Tang LQ, Guo L, Mo HY, Qian CN, Mai HQ, Hong MH, Cai HM, Chen MY. Jiang R, et al. Among authors: cai hm. Oncotarget. 2016 Jan 19;7(3):3645-57. doi: 10.18632/oncotarget.6436. Oncotarget. 2016. PMID: 26636646 Free PMC article.

3

Radiomics on multi-modalities MR sequences can subtype patients with non-metastatic nasopharyngeal carcinoma (NPC) into distinct survival subgroups.

Zhuo EH, Zhang WJ, Li HJ, Zhang GY, Jing BZ, Zhou J, Cui CY, Chen MY, Sun Y, Liu LZ, Cai HM. Zhuo EH, et al. Among authors: cai hm. Eur Radiol. 2019 Oct;29(10):5590-5599. doi: 10.1007/s00330-019-06075-1. Epub 2019 Mar 14. Eur Radiol. 2019. PMID: 30874880

4

Correction to: Radiomics on multi-modalities MR sequences can subtype patients with non-metastatic nasopharyngeal carcinoma (NPC) into distinct survival subgroups.

Zhuo EH, Zhang WJ, Li HJ, Zhang GY, Jing BZ, Zhou J, Cui CY, Chen MY, Sun Y, Liu LZ, Cai HM. Zhuo EH, et al. Among authors: cai hm. Eur Radiol. 2019 Jul;29(7):3957. doi: 10.1007/s00330-019-06184-x. Eur Radiol. 2019. PMID: 31028440

5

Molecular Decision Tree Algorithms Predict Individual Recurrence Pattern for Locally Advanced Nasopharyngeal Carcinoma.

Cai H, Pang X, Dong D, Ma Y, Huang Y, Fan X, Wu P, Chen H, He F, Cheng Y, Liu S, Yu Y, Hong M, Xiao J, Wan X, Lv Y, Zheng J. Cai H, et al. J Cancer. 2019 Jun 2;10(15):3323-3332. doi: 10.7150/jca.29693. eCollection 2019. J Cancer. 2019. PMID: 31293635 Free PMC article.

6

Using deep-learning algorithms to classify fetal brain ultrasound images as normal or abnormal.

Xie HN, Wang N, He M, Zhang LH, Cai HM, Xian JB, Lin MF, Zheng J, Yang YZ. Xie HN, et al. Among authors: cai hm. Ultrasound Obstet Gynecol. 2020 Oct;56(4):579-587. doi: 10.1002/uog.21967. Ultrasound Obstet Gynecol. 2020. PMID: 31909548 Free article.

7

LIO-CSI: LiDAR inertial odometry with loop closure combined with semantic information.

Wang G, Gao S, Ding H, Zhang H, Cai H. Wang G, et al. PLoS One. 2021 Dec 8;16(12):e0261053. doi: 10.1371/journal.pone.0261053. eCollection 2021. PLoS One. 2021. PMID: 34879118 Free PMC article.

8

The Small Open Reading Frame-Encoded Peptides: Advances in Methodologies and Functional Studies.

Chen L, Yang Y, Zhang Y, Li K, Cai H, Wang H, Zhao Q. Chen L, et al. Chembiochem. 2022 Apr 20;23(8):e202100534. doi: 10.1002/cbic.202100534. Epub 2021 Dec 8. Chembiochem. 2022. PMID: 34862721 Review.

9

Skip-layer network with optimization method for domain adaptive detection.

Xu Q, Li Y, Wang G, Hou M, Zhang H, Cai H. Xu Q, et al. PLoS One. 2022 Mar 17;17(3):e0263748. doi: 10.1371/journal.pone.0263748. eCollection 2022. PLoS One. 2022. PMID: 35298479 Free PMC article.

10

A survey of drug-target interaction and affinity prediction methods via graph neural networks.

Zhang Y, Hu Y, Han N, Yang A, Liu X, Cai H. Zhang Y, et al. Comput Biol Med. 2023 Sep;163:107136. doi: 10.1016/j.compbiomed.2023.107136. Epub 2023 Jun 7. Comput Biol Med. 2023. PMID: 37329615 Review.

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