Literature DB >> 31014678

Demystifying the Jargon: The Bridge between Ophthalmology and Artificial Intelligence.

Aaron S Coyner1, J Peter Campbell2, Michael F Chiang3.   

Abstract

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Year:  2019        PMID: 31014678      PMCID: PMC7874933          DOI: 10.1016/j.oret.2018.12.008

Source DB:  PubMed          Journal:  Ophthalmol Retina        ISSN: 2468-6530


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  10 in total

1.  A fast learning algorithm for deep belief nets.

Authors:  Geoffrey E Hinton; Simon Osindero; Yee-Whye Teh
Journal:  Neural Comput       Date:  2006-07       Impact factor: 2.026

2.  Reducing the dimensionality of data with neural networks.

Authors:  G E Hinton; R R Salakhutdinov
Journal:  Science       Date:  2006-07-28       Impact factor: 47.728

Review 3.  The Early Treatment Diabetic Retinopathy Study historical review and relevance to today's management of diabetic macular edema.

Authors:  Nidhi Relhan; Harry W Flynn
Journal:  Curr Opin Ophthalmol       Date:  2017-05       Impact factor: 3.761

Review 4.  Deep learning.

Authors:  Yann LeCun; Yoshua Bengio; Geoffrey Hinton
Journal:  Nature       Date:  2015-05-28       Impact factor: 49.962

5.  Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.

Authors:  Varun Gulshan; Lily Peng; Marc Coram; Martin C Stumpe; Derek Wu; Arunachalam Narayanaswamy; Subhashini Venugopalan; Kasumi Widner; Tom Madams; Jorge Cuadros; Ramasamy Kim; Rajiv Raman; Philip C Nelson; Jessica L Mega; Dale R Webster
Journal:  JAMA       Date:  2016-12-13       Impact factor: 56.272

Review 6.  A survey of GPU-based acceleration techniques in MRI reconstructions.

Authors:  Haifeng Wang; Hanchuan Peng; Yuchou Chang; Dong Liang
Journal:  Quant Imaging Med Surg       Date:  2018-03

7.  Automated Fundus Image Quality Assessment in Retinopathy of Prematurity Using Deep Convolutional Neural Networks.

Authors:  Aaron S Coyner; Ryan Swan; J Peter Campbell; Susan Ostmo; James M Brown; Jayashree Kalpathy-Cramer; Sang Jin Kim; Karyn E Jonas; R V Paul Chan; Michael F Chiang
Journal:  Ophthalmol Retina       Date:  2019-01-31

8.  Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks.

Authors:  James M Brown; J Peter Campbell; Andrew Beers; Ken Chang; Susan Ostmo; R V Paul Chan; Jennifer Dy; Deniz Erdogmus; Stratis Ioannidis; Jayashree Kalpathy-Cramer; Michael F Chiang
Journal:  JAMA Ophthalmol       Date:  2018-07-01       Impact factor: 7.389

9.  Artificial intelligence, machine learning and the evolution of healthcare: A bright future or cause for concern?

Authors:  L D Jones; D Golan; S A Hanna; M Ramachandran
Journal:  Bone Joint Res       Date:  2018-05-05       Impact factor: 5.853

10.  Clinically applicable deep learning for diagnosis and referral in retinal disease.

Authors:  Jeffrey De Fauw; Joseph R Ledsam; Bernardino Romera-Paredes; Stanislav Nikolov; Nenad Tomasev; Sam Blackwell; Harry Askham; Xavier Glorot; Brendan O'Donoghue; Daniel Visentin; George van den Driessche; Balaji Lakshminarayanan; Clemens Meyer; Faith Mackinder; Simon Bouton; Kareem Ayoub; Reena Chopra; Dominic King; Alan Karthikesalingam; Cían O Hughes; Rosalind Raine; Julian Hughes; Dawn A Sim; Catherine Egan; Adnan Tufail; Hugh Montgomery; Demis Hassabis; Geraint Rees; Trevor Back; Peng T Khaw; Mustafa Suleyman; Julien Cornebise; Pearse A Keane; Olaf Ronneberger
Journal:  Nat Med       Date:  2018-08-13       Impact factor: 53.440

  10 in total
  2 in total

Review 1.  Applications of interpretability in deep learning models for ophthalmology.

Authors:  Adam M Hanif; Sara Beqiri; Pearse A Keane; J Peter Campbell
Journal:  Curr Opin Ophthalmol       Date:  2021-09-01       Impact factor: 4.299

2.  Medical Staff and Resident Preferences for Using Deep Learning in Eye Disease Screening: Discrete Choice Experiment.

Authors:  Senlin Lin; Liping Li; Haidong Zou; Yi Xu; Lina Lu
Journal:  J Med Internet Res       Date:  2022-09-20       Impact factor: 7.076

  2 in total

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