Visualization of Optic Nerve Structural Patterns in Papilledema Using Deep Learning Variational Autoencoders-Reference-Cited by-同舟云学术

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Visualization of Optic Nerve Structural Patterns in Papilledema Using Deep Learning Variational Autoencoders

Published:2024-01-17 Issue:1 Volume:13 Page:13
ISSN:2164-2591
Container-title:Translational Vision Science & Technology
language:en
Short-container-title:Trans. Vis. Sci. Tech.

Author:

Wang Jui-Kai (Ray)¹²³,Linton Edward F.¹²,Johnson Brett A.²,Kupersmith Mark J.⁴,Garvin Mona K.¹³,Kardon Randy H.¹²

Affiliation:

1. Center for the Prevention and Treatment of Visual Loss, Iowa City VA Health Care System, Iowa City, IA, USA

2. Department of Ophthalmology and Visual Sciences, The University of Iowa Hospitals & Clinics, Iowa City, IA, USA

3. Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA, USA

4. Departments of Neurology, Neurosurgery and Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, NY, USA

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Reference46 articles.

1. Swelling of the optic nerve head: a staging scheme;Frisén;J Neurol Neurosurg Psychiatry,1982

2. Diagnosis and grading of papilledema in patients with raised intracranial pressure using optical coherence tomography vs clinical expert assessment using a clinical staging scale;Scott;Arch Ophthalmol,2010

3. Swelling of the optic nerve head: a backstage view of a staging scheme;Frisén;J Neuroophthalmol,2017

4. Rating papilloedema: an evaluation of the Frisén classification in idiopathic intracranial hypertension;Sinclair;J Neurol,2012

5. The relationship between optic disc volume, area, and Frisén score in patients with idiopathic intracranial hypertension;Sheils;Am J Ophthalmol,2018

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