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Refinado por: assunto: Ophthalmology remover assunto: Photography remover
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1
Age‐related macular degeneration discordance in monozygotic twin pairs
Age‐related macular degeneration discordance in monozygotic twin pairs
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Age‐related macular degeneration discordance in monozygotic twin pairs

Kananen, Fabian ; Kaprio, Jaakko ; Immonen, Ilkka

Acta ophthalmologica (Oxford, England), 2024-09, Vol.102 (6), p.714-719 [Periódico revisado por pares]

England: Wiley Subscription Services, Inc

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2
DeepAlienorNet: A deep learning model to extract clinical features from colour fundus photography in age‐related macular degeneration
DeepAlienorNet: A deep learning model to extract clinical features from colour fundus photography in age‐related macular degeneration
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DeepAlienorNet: A deep learning model to extract clinical features from colour fundus photography in age‐related macular degeneration

Mathieu, Alexis ; Ajana, Soufiane ; Korobelnik, Jean‐François ; Le Goff, Mélanie ; Gontier, Brigitte ; Rougier, Marie‐Bénédicte ; Delcourt, Cécile ; Delyfer, Marie‐Noëlle

Acta ophthalmologica (Oxford, England), 2024-08, Vol.102 (5), p.e823-e830 [Periódico revisado por pares]

England: Wiley Subscription Services, Inc

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3
Microaneurysm detection using high‐speed megahertz optical coherence tomography angiography in advanced diabetic retinopathy
Microaneurysm detection using high‐speed megahertz optical coherence tomography angiography in advanced diabetic retinopathy
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Microaneurysm detection using high‐speed megahertz optical coherence tomography angiography in advanced diabetic retinopathy

Huber, Kim Lien ; Stino, Heiko ; Schlegl, Thomas ; Steiner, Irene ; Nagy, Gergely ; Niederleithner, Michael ; Baumann, Bernhard ; Drexler, Wolfgang ; Leitgeb, Rainer A. ; Schmidt‐Erfurth, Ursula ; Schmoll, Tilman ; Pollreisz, Andreas

Acta ophthalmologica (Oxford, England), 2024-08, Vol.102 (5), p.e687-e695 [Periódico revisado por pares]

England: Wiley Subscription Services, Inc

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4
A deep learning framework for the early detection of multi-retinal diseases
A deep learning framework for the early detection of multi-retinal diseases
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A deep learning framework for the early detection of multi-retinal diseases

Ejaz, Sara ; Baig, Raheel ; Ashraf, Zeeshan ; Alnfiai, Mrim M ; Alnahari, Mona Mohammed ; Alotaibi, Reemiah Muneer Mateen, Muhammad

PloS one, 2024-07, Vol.19 (7), p.e0307317 [Periódico revisado por pares]

San Francisco: Public Library of Science

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5
Comparison of Three Handheld Fundus Cameras for Assessment of the Vertical Cup-To-Disk Ratio
Comparison of Three Handheld Fundus Cameras for Assessment of the Vertical Cup-To-Disk Ratio
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Comparison of Three Handheld Fundus Cameras for Assessment of the Vertical Cup-To-Disk Ratio

Saroya, Jasmeet ; Lu, Louisa ; Ausayakhun, Somsanguan ; Ausayakhun, Sakarin ; Khunsongkiet, Preeyanuch ; Apivatthakakul, Atitaya ; Sun, Catherine Q ; Kim, Tyson N ; Lee, Michele ; Tsui, Edmund ; Sutra, Plern ; Keenan, Jeremy D

Ophthalmic epidemiology, 2024-07, Vol.31 (4), p.311-314 [Periódico revisado por pares]

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6
Deep-learning-based prediction of glaucoma conversion in normotensive glaucoma suspects
Deep-learning-based prediction of glaucoma conversion in normotensive glaucoma suspects
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Deep-learning-based prediction of glaucoma conversion in normotensive glaucoma suspects

Ha, Ahnul ; Sun, Sukkyu ; Kim, Young Kook ; Jeoung, Jin Wook ; Kim, Hee Chan ; Park, Ki Ho

British journal of ophthalmology, 2024-07, Vol.108 (7), p.927-932 [Periódico revisado por pares]

BMA House, Tavistock Square, London, WC1H 9JR: BMJ Publishing Group Ltd

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7
Improving diabetic retinopathy screening at the point of care: integrating telemedicine to overcome current challenges
Improving diabetic retinopathy screening at the point of care: integrating telemedicine to overcome current challenges
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Improving diabetic retinopathy screening at the point of care: integrating telemedicine to overcome current challenges

Salavatian, Farinaz ; Hashemi-Madani, Nahid ; Emami, Zahra ; Hosseini, Zahra ; Falavarjani, Khalil Ghasemi ; Khamseh, Mohammad E

BMC ophthalmology, 2024-06, Vol.24 (1), p.1-7, Article 256 [Periódico revisado por pares]

London: BioMed Central Ltd

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8
Digital ray: enhancing cataractous fundus images using style transfer generative adversarial networks to improve retinopathy detection
Digital ray: enhancing cataractous fundus images using style transfer generative adversarial networks to improve retinopathy detection
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Digital ray: enhancing cataractous fundus images using style transfer generative adversarial networks to improve retinopathy detection

Liu, Lixue ; Hong, Jiaming ; Wu, Yuxuan ; Liu, Shaopeng ; Wang, Kai ; Li, Mingyuan ; Zhao, Lanqin ; Liu, Zhenzhen ; Li, Longhui ; Cui, Tingxin ; Tsui, Ching-Kit ; Xu, Fabao ; Hu, Weiling ; Yun, Dongyuan ; Chen, Xi ; Shang, Yuanjun ; Bi, Shaowei ; Wei, Xiaoyue ; Lai, Yunxi ; Lin, Duoru ; Fu, Zhe ; Deng, Yaru ; Cai, Kaimin ; Xie, Yi ; Cao, Zizheng ; Wang, Dongni ; Zhang, Xulin ; Dongye, Meimei ; Lin, Haotian ; Wu, Xiaohang

British journal of ophthalmology, 2024-06, p.bjo-2024-325403 [Periódico revisado por pares]

BMA House, Tavistock Square, London, WC1H 9JR: BMJ Publishing Group Ltd

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9
Fetal Growth Restriction Leads to an Enlarged Cup-to-Disc Ratio in Adults Born at Full Term
Fetal Growth Restriction Leads to an Enlarged Cup-to-Disc Ratio in Adults Born at Full Term
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Fetal Growth Restriction Leads to an Enlarged Cup-to-Disc Ratio in Adults Born at Full Term

Fieß, Achim ; Gißler, Sandra ; Mildenberger, Eva ; Hoffmann, Esther M. ; Laspas, Panagiotis ; Stoffelns, Bernhard ; Pfeiffer, Norbert ; Hartmann, Alica ; Schuster, Alexander K.

American journal of ophthalmology, 2024-06, Vol.262, p.170-177 [Periódico revisado por pares]

United States: Elsevier Inc

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10
High Dynamic Range Image Processing for Retinal Color Fundus Photography
High Dynamic Range Image Processing for Retinal Color Fundus Photography
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High Dynamic Range Image Processing for Retinal Color Fundus Photography

Critser, D Brice ; Troyer, Jody ; Whitmore, S Scott ; Mansoor, Mahsaw ; Stone, Edwin M ; Russell, Jonathan F ; Han, Ian C

Ophthalmic surgery, lasers & imaging, 2024-05, Vol.55 (5), p.263-269 [Periódico revisado por pares]

United States: Slack, Inc

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