 Connection
Prem Subramanian to Optic Nerve Diseases
This is a "connection" page, showing publications Prem Subramanian has written about Optic Nerve Diseases.
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4.267 |
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Coburn W, Fonteh CN, Subramanian PS. Isolated Compressive Optic Neuropathy Due to Cavernous Carotid Aneurysms: A 2-Patient Case Report. J Neuroophthalmol. 2023 12 01; 43(4):e237-e238.
Score: 0.696
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Aghsaei Fard M, Okhravi S, Moghimi S, Subramanian PS. Optic Nerve Head and Macular Optical Coherence Tomography Measurements in Papilledema Compared With Pseudopapilledema. J Neuroophthalmol. 2019 03; 39(1):28-34.
Score: 0.560
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Fard MA, Sahraiyan A, Jalili J, Hejazi M, Suwan Y, Ritch R, Subramanian PS. Optical Coherence Tomography Angiography in Papilledema Compared With Pseudopapilledema. Invest Ophthalmol Vis Sci. 2019 01 02; 60(1):168-175.
Score: 0.554
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Zhao J, Davé SB, Wang J, Subramanian PS. Clinical color vision testing and correlation with visual function. Am J Ophthalmol. 2015 Sep; 160(3):547-552.e1.
Score: 0.434
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Fard MA, Fakhree S, Abdi P, Hassanpoor N, Subramanian PS. Quantification of peripapillary total retinal volume in pseudopapilledema and mild papilledema using spectral-domain optical coherence tomography. Am J Ophthalmol. 2014 Jul; 158(1):136-43.
Score: 0.399
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Decanini-Mancera A, Lessell S, Lee MS, Subramanian PS. Syphilis and the monk. Surv Ophthalmol. 2011 May-Jun; 56(3):267-73.
Score: 0.315
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Arian R, Behzadi Far M, Sadeghi R, Farnaghi F, Safizadeh M, Subramanian PS, Miller NR, Suwan Y, Kajornrojanaruk P, Kafieh R, Aghsaei Fard M. The Application of a Deep Learning Algorithm for the Segmentation of Retinal Nerve Fiber Layer Across Different Optic Neuropathies. Transl Vis Sci Technol. 2026 Apr 06; 15(4):7.
Score: 0.229
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Vali M, Mohammadi M, Zarei N, Samadi M, Atapour-Abarghouei A, Supakontanasan W, Suwan Y, Subramanian PS, Miller NR, Kafieh R, Aghsaei Fard M. Differentiating Glaucomatous Optic Neuropathy From Non-glaucomatous Optic Neuropathies Using Deep Learning Algorithms. Am J Ophthalmol. 2023 08; 252:1-8.
Score: 0.185
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Liu TYA, Wei J, Zhu H, Subramanian PS, Myung D, Yi PH, Hui FK, Unberath M, Ting DSW, Miller NR. Detection of Optic Disc Abnormalities in Color Fundus Photographs Using Deep Learning. J Neuroophthalmol. 2021 Sep 01; 41(3):368-374.
Score: 0.167
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Liu TYA, Ting DSW, Yi PH, Wei J, Zhu H, Subramanian PS, Li T, Hui FK, Hager GD, Miller NR. Deep Learning and Transfer Learning for Optic Disc Laterality Detection: Implications for Machine Learning in Neuro-Ophthalmology. J Neuroophthalmol. 2020 06; 40(2):178-184.
Score: 0.153
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Akbari M, Nikdel M, Moghimi S, Subramanian PS, Fard MA. Effect of Foveal Location on Retinal Nerve Fiber Layer Thickness Profile in Superior Oblique Palsy Eyes. J Glaucoma. 2019 10; 28(10):916-921.
Score: 0.146
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McCoy AN, Quigley HA, Miller NR, Subramanian PS, Ramulu PY, Boland MV. Author Response: Neurological Hemifield Test in Binasal Defects. Invest Ophthalmol Vis Sci. 2015 Apr; 56(4):2570.
Score: 0.107
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McCoy AN, Quigley HA, Wang J, Miller NR, Subramanian PS, Ramulu PY, Boland MV. Development and validation of an improved neurological hemifield test to identify chiasmal and postchiasmal lesions by automated perimetry. Invest Ophthalmol Vis Sci. 2014 Feb 20; 55(2):1017-23.
Score: 0.099
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Kanagalingam S, Gailloud P, Tamargo RJ, Subramanian PS, Miller NR. Visual sequelae after consensus-based treatment of ophthalmic artery segment aneurysms: the Johns Hopkins experience. J Neuroophthalmol. 2012 Mar; 32(1):27-32.
Score: 0.086
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Boland MV, McCoy AN, Quigley HA, Miller NR, Subramanian PS, Ramulu PY, Murakami P, Danesh-Meyer HV. Evaluation of an algorithm for detecting visual field defects due to chiasmal and postchiasmal lesions: the neurological hemifield test. Invest Ophthalmol Vis Sci. 2011 Oct 10; 52(11):7959-65.
Score: 0.084
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Subramanian PS, Miller NR, Renard V, Tamargo RJ. Delayed progressive visual loss following wrapping of bilateral clinoidal aneurysms: recovery of vision and improvement in neuroimaging during corticosteroid treatment. Br J Ophthalmol. 2005 Dec; 89(12):1666-8.
Score: 0.056
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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