Sadda S - Search Results

1

Visualizing and understanding inherent features in SD-OCT for the progression of age-related macular degeneration using deconvolutional neural networks.

Saha S, Wang Z, Sadda S, Kanagasingam Y, Hu Z. Saha S, et al. Among authors: sadda s. Appl AI Lett. 2020 Oct;1(1):e16. doi: 10.1002/ail2.16. Epub 2020 Oct 14. Appl AI Lett. 2020. PMID: 36478669 Free PMC article.

2

Anomalous optic disc elevation associated with ultrasonographic evidence of increased subarachnoid fluid.

Sadda SR, DiBernardo C, Miller NR. Sadda SR, et al. J Neuroophthalmol. 2000 Mar;20(1):25-7. doi: 10.1097/00041327-200020010-00009. J Neuroophthalmol. 2000. PMID: 10770503

3

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

4

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.

5

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

6

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

7

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.

8

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.

9

PROGNOSTIC VALUE OF SHAPE-DESCRIPTIVE FACTORS FOR THE PROGRESSION OF GEOGRAPHIC ATROPHY SECONDARY TO AGE-RELATED MACULAR DEGENERATION.

Pfau M, Lindner M, Goerdt L, Thiele S, Nadal J, Schmid M, Schmitz-Valckenberg S, Sadda SR, Holz FG, Fleckenstein M; Fundus Autofluorescence in Age-Related Macular Degeneration Study Group. Pfau M, et al. Among authors: sadda sr. Retina. 2019 Aug;39(8):1527-1540. doi: 10.1097/IAE.0000000000002206. Retina. 2019. PMID: 29781974

10

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

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