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Clinical Ophthalmology: A Systematic Approach

TLDR
Ocular side-effects of systemic medication 21.1.
Abstract
1. Eyelids 2. Lacrimal Drainage System 3. Orbit 4. Dry Eye Disorders 5. Conjunctiva 6. Cornea 7. Corneal and Refractive Surgery 8. Episclera and Sclera 9. Lens 10. Glaucoma 11. Uveitis 12. Ocular Tumours 13. Retinal Vascular Disease 14. Acquired Macular Disorders 15. Hereditary Fundus Dystrophies 16. Retinal Detachment 17. Vitreous Opacities 18. Strabismus 19. Neuro-ophthalmology 20. Ocular side-effects of systemic medication 21. Trauma Index

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Journal ArticleDOI

Intraorbital foreign body projectile as a consideration for unilateral pupillary defect

TL;DR: The differential diagnosis for any trauma patient with an irregular pupil with significant visual loss must include intraorbital foreign body and associated injury to the optic nerve directly or via orbital compartment syndrome secondary to hemorrhage and/or edema.
Journal ArticleDOI

A Critical Appraisal of New Developments in Intraocular Lens Modifications and Drug Delivery Systems for the Prevention of Cataract Surgery Complications.

TL;DR: Assessment of progress made in the field of IOL lens modifications and drug delivery systems over the past five years finds that there is still little capitalization upon these research studies, with no commercially available IOL-based drug delivery system being available.
Journal Article

In vivo CT and MR appearance of prosthetic intraocular lens.

TL;DR: The optic portion of an IOL is visible on either high-quality CT or MR studies, however, the haptic portion is not visible on clinical in vivo images.
Dissertation

Untersuchungen zur spektralen Empfindlichkeit des Auges für Detektion und physiologische Blendung im mesopischen Bereich

TL;DR: In this article, the bestimmung der spektralen Empfindlichkeit in mesopischen Umfeldbedingungen was bestimmt, which was used for the analysis of Physician's Blendung and Detektion.
Proceedings ArticleDOI

DISCERN: Generative Framework for Vessel Segmentation using Convolutional Neural Network and Visual Codebook

TL;DR: The proposed framework is able to generate segmentation patches that were not seen during training and demonstrated better performance than state-of-the-art methods in terms of multiple evaluation metrics.
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