Literature DB >> 30193354

Utility of Deep Learning Methods for Referability Classification of Age-Related Macular Degeneration.

Phillippe Burlina1,2,3, Neil Joshi1, Katia D Pacheco4, David E Freund1, Jun Kong5, Neil M Bressler2,6.   

Abstract

Entities:  

Mesh：

Year:  2018        PMID： 30193354      PMCID： PMC6248178          DOI： 10.1001/jamaophthalmol.2018.3799

Source DB:  PubMed          Journal:  JAMA Ophthalmol        ISSN： 2168-6165            Impact factor:   7.389


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  6 in total

1.  Automatic screening of age-related macular degeneration and retinal abnormalities.

Authors:  P Burlina; D E Freund; B Dupas; N Bressler
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

Review 2.  Current knowledge and trends in age-related macular degeneration: genetics, epidemiology, and prevention.

Authors:  Raul Velez-Montoya; Scott C N Oliver; Jeffrey L Olson; Stuart L Fine; Hugo Quiroz-Mercado; Naresh Mandava
Journal:  Retina       Date:  2014-03       Impact factor: 4.256

3.  Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes.

Authors:  Daniel Shu Wei Ting; Carol Yim-Lui Cheung; Gilbert Lim; Gavin Siew Wei Tan; Nguyen D Quang; Alfred Gan; Haslina Hamzah; Renata Garcia-Franco; Ian Yew San Yeo; Shu Yen Lee; Edmund Yick Mun Wong; Charumathi Sabanayagam; Mani Baskaran; Farah Ibrahim; Ngiap Chuan Tan; Eric A Finkelstein; Ecosse L Lamoureux; Ian Y Wong; Neil M Bressler; Sobha Sivaprasad; Rohit Varma; Jost B Jonas; Ming Guang He; Ching-Yu Cheng; Gemmy Chui Ming Cheung; Tin Aung; Wynne Hsu; Mong Li Lee; Tien Yin Wong
Journal:  JAMA       Date:  2017-12-12       Impact factor: 56.272

4.  The Age-Related Eye Disease Study system for classifying age-related macular degeneration from stereoscopic color fundus photographs: the Age-Related Eye Disease Study Report Number 6.

Authors: 
Journal:  Am J Ophthalmol       Date:  2001-11       Impact factor: 5.258

5.  Deep image mining for diabetic retinopathy screening.

Authors:  Gwenolé Quellec; Katia Charrière; Yassine Boudi; Béatrice Cochener; Mathieu Lamard
Journal:  Med Image Anal       Date:  2017-04-28       Impact factor: 8.545

6.  Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks.

Authors:  Philippe M Burlina; Neil Joshi; Michael Pekala; Katia D Pacheco; David E Freund; Neil M Bressler
Journal:  JAMA Ophthalmol       Date:  2017-11-01       Impact factor: 7.389
  6 in total
  12 in total

1.  Assessment of Deep Generative Models for High-Resolution Synthetic Retinal Image Generation of Age-Related Macular Degeneration.

Authors:  Philippe M Burlina; Neil Joshi; Katia D Pacheco; T Y Alvin Liu; Neil M Bressler
Journal:  JAMA Ophthalmol       Date:  2019-03-01       Impact factor: 7.389

2.  An Ophthalmologist's Guide to Deciphering Studies in Artificial Intelligence.

Authors:  Daniel S W Ting; Aaron Y Lee; Tien Y Wong
Journal:  Ophthalmology       Date:  2019-09-21       Impact factor: 12.079

3.  Diving Deep into Deep Learning: An Update on Artificial Intelligence in Retina.

Authors:  Brian E Goldhagen; Hasenin Al-Khersan
Journal:  Curr Ophthalmol Rep       Date:  2020-06-07

4.  Detecting Anomalies in Retinal Diseases Using Generative, Discriminative, and Self-supervised Deep Learning.

Authors:  Philippe Burlina; William Paul; T Y Alvin Liu; Neil M Bressler
Journal:  JAMA Ophthalmol       Date:  2022-02-01       Impact factor: 7.389

5.  Application of Deep Learning for Automated Detection of Polypoidal Choroidal Vasculopathy in Spectral Domain Optical Coherence Tomography.

Authors:  Papis Wongchaisuwat; Ranida Thamphithak; Peerakarn Jitpukdee; Nida Wongchaisuwat
Journal:  Transl Vis Sci Technol       Date:  2022-10-03       Impact factor: 3.048

6.  Three-Dimensional Volume Calculation of Intrachoroidal Cavitation Using Deep-Learning-Based Noise Reduction of Optical Coherence Tomography.

Authors:  Satoko Fujimoto; Atsuya Miki; Kazuichi Maruyama; Song Mei; Zaixing Mao; Zhenguo Wang; Kinpui Chan; Kohji Nishida
Journal:  Transl Vis Sci Technol       Date:  2022-07-08       Impact factor: 3.048

Review 7.  Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis.

Authors:  Ravi Aggarwal; Viknesh Sounderajah; Guy Martin; Daniel S W Ting; Alan Karthikesalingam; Dominic King; Hutan Ashrafian; Ara Darzi
Journal:  NPJ Digit Med       Date:  2021-04-07

8.  Exploring a Structural Basis for Delayed Rod-Mediated Dark Adaptation in Age-Related Macular Degeneration Via Deep Learning.

Authors:  Aaron Y Lee; Cecilia S Lee; Marian S Blazes; Julia P Owen; Yelena Bagdasarova; Yue Wu; Theodore Spaide; Ryan T Yanagihara; Yuka Kihara; Mark E Clark; MiYoung Kwon; Cynthia Owsley; Christine A Curcio
Journal:  Transl Vis Sci Technol       Date:  2020-12-15       Impact factor: 3.283

Review 9.  Next-Generation Sequencing Applications for Inherited Retinal Diseases.

Authors:  Adrian Dockery; Laura Whelan; Pete Humphries; G Jane Farrar
Journal:  Int J Mol Sci       Date:  2021-05-26       Impact factor: 5.923

10.  Association of imaging factors derived from convolutional neural network with visual outcomes in age-related macular degeneration and polypoidal choroidal vasculopathy.

Authors:  Hyungwoo Lee; Minsu Jang; Hyung Chan Kim; Hyewon Chung
Journal:  Sci Rep       Date:  2019-12-27       Impact factor: 4.379
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