Hu ZJ - Search Results

1

Recurrent and Concurrent Prediction of Longitudinal Progression of Stargardt Atrophy and Geographic Atrophy.

Mishra Z, Wang Z, Xu E, Xu S, Majid I, Sadda SR, Hu ZJ. Mishra Z, et al. Among authors: hu zj. medRxiv [Preprint]. 2024 Feb 13:2024.02.11.24302670. doi: 10.1101/2024.02.11.24302670. medRxiv. 2024. PMID: 38405807 Free PMC article. Preprint.

2

Semiautomated segmentation of the choroid in spectral-domain optical coherence tomography volume scans.

Hu Z, Wu X, Ouyang Y, Ouyang Y, Sadda SR. Hu Z, et al. Invest Ophthalmol Vis Sci. 2013 Mar 7;54(3):1722-9. doi: 10.1167/iovs.12-10578. Invest Ophthalmol Vis Sci. 2013. PMID: 23349432

3

Multiple layer segmentation and analysis in three-dimensional spectral-domain optical coherence tomography volume scans.

Hu Z, Wu X, Hariri A, Sadda SR. Hu Z, et al. J Biomed Opt. 2013 Jul;18(7):76006. doi: 10.1117/1.JBO.18.7.076006. J Biomed Opt. 2013. PMID: 23843084 Free article.

4

Comparison of retinal layer intensity profiles from different OCT devices.

Hu Z, Nittala MG, Sadda SR. Hu Z, et al. Ophthalmic Surg Lasers Imaging Retina. 2013 Nov-Dec;44(6 Suppl):S5-10. doi: 10.3928/23258160-20131101-02. Ophthalmic Surg Lasers Imaging Retina. 2013. PMID: 24220885

5

Segmentation of the geographic atrophy in spectral-domain optical coherence tomography and fundus autofluorescence images.

Hu Z, Medioni GG, Hernandez M, Hariri A, Wu X, Sadda SR. Hu Z, et al. Invest Ophthalmol Vis Sci. 2013 Dec 30;54(13):8375-83. doi: 10.1167/iovs.13-12552. Invest Ophthalmol Vis Sci. 2013. PMID: 24265015

6

Automated segmentation of geographic atrophy in fundus autofluorescence images using supervised pixel classification.

Hu Z, Medioni GG, Hernandez M, Sadda SR. Hu Z, et al. J Med Imaging (Bellingham). 2015 Jan;2(1):014501. doi: 10.1117/1.JMI.2.1.014501. Epub 2015 Jan 12. J Med Imaging (Bellingham). 2015. PMID: 26158084 Free PMC article.

7

Semiautomated segmentation and analysis of retinal layers in three-dimensional spectral-domain optical coherence tomography images of patients with atrophic age-related macular degeneration.

Hu Z, Shi Y, Nandanan K, Sadda SR; APGS Study Group. Hu Z, et al. Neurophotonics. 2017 Jan;4(1):011012. doi: 10.1117/1.NPh.4.1.011012. Epub 2017 Feb 6. Neurophotonics. 2017. PMID: 28180131 Free PMC article.

8

Relationship Between Dry Retinal Volume and Visual Acuity in Diabetic Macular Edema.

Nittala MG, Velaga SB, Hu Z, Sadda SR. Nittala MG, et al. Ophthalmic Surg Lasers Imaging Retina. 2018 Jul 1;49(7):510-515. doi: 10.3928/23258160-20180628-07. Ophthalmic Surg Lasers Imaging Retina. 2018. PMID: 30021038

9

Automated detection and classification of early AMD biomarkers using deep learning.

Saha S, Nassisi M, Wang M, Lindenberg S, Kanagasingam Y, Sadda S, Hu ZJ. Saha S, et al. Among authors: hu zj. Sci Rep. 2019 Jul 29;9(1):10990. doi: 10.1038/s41598-019-47390-3. Sci Rep. 2019. PMID: 31358808 Free PMC article.

10

Near-Infrared Reflectance Imaging for Quantification of Atrophy Associated with Age-Related Macular Degeneration.

Abdelfattah NS, Sadda J, Wang Z, Hu Z, Sadda S. Abdelfattah NS, et al. Am J Ophthalmol. 2020 Apr;212:169-174. doi: 10.1016/j.ajo.2020.01.005. Epub 2020 Jan 14. Am J Ophthalmol. 2020. PMID: 31945331

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