Wu J - Search Results

1

Automatic detection of non-perfusion areas in diabetic macular edema from fundus fluorescein angiography for decision making using deep learning.

Jin K, Pan X, You K, Wu J, Liu Z, Cao J, Lou L, Xu Y, Su Z, Yao K, Ye J. Jin K, et al. Among authors: wu j. Sci Rep. 2020 Sep 15;10(1):15138. doi: 10.1038/s41598-020-71622-6. Sci Rep. 2020. PMID: 32934283 Free PMC article.

2

Tethering poly(ethylene glycol)s to improve the surface biocompatibility of poly(acrylonitrile-co-maleic acid) asymmetric membranes.

Xu ZK, Nie FQ, Qu C, Wan LS, Wu J, Yao K. Xu ZK, et al. Among authors: wu j. Biomaterials. 2005 Feb;26(6):589-98. doi: 10.1016/j.biomaterials.2004.03.008. Biomaterials. 2005. PMID: 15282137

3

Multi-label classification of retinal lesions in diabetic retinopathy for automatic analysis of fundus fluorescein angiography based on deep learning.

Pan X, Jin K, Cao J, Liu Z, Wu J, You K, Lu Y, Xu Y, Su Z, Jiang J, Yao K, Ye J. Pan X, et al. Among authors: wu j. Graefes Arch Clin Exp Ophthalmol. 2020 Apr;258(4):779-785. doi: 10.1007/s00417-019-04575-w. Epub 2020 Jan 14. Graefes Arch Clin Exp Ophthalmol. 2020. PMID: 31932886

4

Prediction of response to anti-vascular endothelial growth factor treatment in diabetic macular oedema using an optical coherence tomography-based machine learning method.

Cao J, You K, Jin K, Lou L, Wang Y, Chen M, Pan X, Shao J, Su Z, Wu J, Ye J. Cao J, et al. Among authors: wu j. Acta Ophthalmol. 2021 Feb;99(1):e19-e27. doi: 10.1111/aos.14514. Epub 2020 Jun 22. Acta Ophthalmol. 2021. PMID: 32573116 Free article.

5

The application of deep learning based diagnostic system to cervical squamous intraepithelial lesions recognition in colposcopy images.

Yuan C, Yao Y, Cheng B, Cheng Y, Li Y, Li Y, Liu X, Cheng X, Xie X, Wu J, Wang X, Lu W. Yuan C, et al. Among authors: wu j. Sci Rep. 2020 Jul 15;10(1):11639. doi: 10.1038/s41598-020-68252-3. Sci Rep. 2020. PMID: 32669565 Free PMC article.

6

Automatic detection of leakage point in central serous chorioretinopathy of fundus fluorescein angiography based on time sequence deep learning.

Chen M, Jin K, You K, Xu Y, Wang Y, Yip CC, Wu J, Ye J. Chen M, et al. Among authors: wu j. Graefes Arch Clin Exp Ophthalmol. 2021 Aug;259(8):2401-2411. doi: 10.1007/s00417-021-05151-x. Epub 2021 Apr 12. Graefes Arch Clin Exp Ophthalmol. 2021. PMID: 33846835

7

KerNet: A Novel Deep Learning Approach for Keratoconus and Sub-Clinical Keratoconus Detection Based on Raw Data of the Pentacam HR System.

Feng R, Xu Z, Zheng X, Hu H, Jin X, Chen DZ, Yao K, Wu J. Feng R, et al. Among authors: wu j. IEEE J Biomed Health Inform. 2021 Oct;25(10):3898-3910. doi: 10.1109/JBHI.2021.3079430. Epub 2021 Oct 6. IEEE J Biomed Health Inform. 2021. PMID: 33979295

8

Clinically applicable artificial intelligence algorithm for the diagnosis, evaluation, and monitoring of acute retinal necrosis.

Feng L, Zhou D, Luo C, Shen J, Wang W, Lu Y, Wu J, Yao K. Feng L, et al. Among authors: wu j. J Zhejiang Univ Sci B. 2021 Jun 15;22(6):504-511. doi: 10.1631/jzus.B2000343. J Zhejiang Univ Sci B. 2021. PMID: 34128373 Free PMC article.

9

End-to-end diabetic retinopathy grading based on fundus fluorescein angiography images using deep learning.

Gao Z, Jin K, Yan Y, Liu X, Shi Y, Ge Y, Pan X, Lu Y, Wu J, Wang Y, Ye J. Gao Z, et al. Among authors: wu j. Graefes Arch Clin Exp Ophthalmol. 2022 May;260(5):1663-1673. doi: 10.1007/s00417-021-05503-7. Epub 2022 Jan 23. Graefes Arch Clin Exp Ophthalmol. 2022. PMID: 35066704

10

Evaluation of artificial intelligence models for the detection of asymmetric keratoconus eyes using Scheimpflug tomography.

Xu Z, Feng R, Jin X, Hu H, Ni S, Xu W, Zheng X, Wu J, Yao K. Xu Z, et al. Among authors: wu j. Clin Exp Ophthalmol. 2022 Sep;50(7):714-723. doi: 10.1111/ceo.14126. Epub 2022 Jul 2. Clin Exp Ophthalmol. 2022. PMID: 35704615

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