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

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; Michael F. Chiang; Susan Ostmo; Sang Jin Kim; Kemal Sonmez; J. Peter Campbell; R. V. Paul Chan; Karyn Jonas; Jason Horowitz; Osode Coki; Cheryl-Ann Eccles; Leora Sarna; Anton Orlin; Audina Berrocal; Catherin Negron; Kimberly Denser; Kristi Cumming; Tammy Osentoski; Tammy Check; Mary Zajechowski; Thomas Lee; Evan Kruger; Kathryn McGovern; Charles Simmons; Raghu Murthy; Sharon Galvis; Jerome Rotter; Ida Chen; Xiaohui Li; Kent Taylor; Kaye Roll; Jayashree Kalpathy-Cramer; Ken Chang; Andrew Beers; Deniz Erdogmus; Stratis Ioannidis; Maria Ana Martinez-Castellanos; Samantha Salinas-Longoria; Rafael Romero; Andrea Arriola; Francisco Olguin-Manriquez; Miroslava Meraz-Gutierrez; Carlos M. Dulanto-Reinoso; Cristina Montero-Mendoza

doi:10.1016/j.oret.2019.01.015

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

Ophthalmology Retina ◽

10.1016/j.oret.2019.01.015 ◽

2019 ◽

Vol 3 (5) ◽

pp. 444-450 ◽

Cited By ~ 10

Author(s):

Aaron S. Coyner ◽

Ryan Swan ◽

J. Peter Campbell ◽

Susan Ostmo ◽

James M. Brown ◽

...

Keyword(s):

Neural Networks ◽

Image Quality ◽

Quality Assessment ◽

Convolutional Neural Networks ◽

Retinopathy Of Prematurity ◽

Image Quality Assessment ◽

Fundus Image ◽

Deep Convolutional Neural Networks

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A Data-Driven No-Reference Image Quality Assessment via Deep Convolutional Neural Networks

Advances in Multimedia Information Processing – PCM 2018 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-00767-6_34 ◽

2018 ◽

pp. 361-371

Author(s):

Yezhao Fan ◽

Yuchen Zhu ◽

Guangtao Zhai ◽

Jia Wang ◽

Jing Liu

Keyword(s):

Neural Networks ◽

Image Quality ◽

Quality Assessment ◽

Convolutional Neural Networks ◽

Image Quality Assessment ◽

Data Driven ◽

Reference Image ◽

Deep Convolutional Neural Networks

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No-reference image quality assessment with deep convolutional neural networks

2016 IEEE International Conference on Digital Signal Processing (DSP) ◽

10.1109/icdsp.2016.7868646 ◽

2016 ◽

Cited By ~ 25

Author(s):

Yuming Li ◽

Lai-Man Po ◽

Litong Feng ◽

Fang Yuan

Keyword(s):

Neural Networks ◽

Image Quality ◽

Quality Assessment ◽

Convolutional Neural Networks ◽

Image Quality Assessment ◽

Reference Image ◽

Deep Convolutional Neural Networks

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In-the-wild No-Reference Image Quality Assessment using Deep Convolutional Neural Networks

2019 5th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS) ◽

10.1109/icspis48872.2019.9066036 ◽

2019 ◽

Author(s):

Hatef Otroshi Shahreza ◽

Arash Amini ◽

Hamid Behroozi

Keyword(s):

Neural Networks ◽

Image Quality ◽

Quality Assessment ◽

Convolutional Neural Networks ◽

Image Quality Assessment ◽

Reference Image ◽

Deep Convolutional Neural Networks ◽

In The Wild

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No-reference image quality assessment based on deep convolutional neural networks

Real-Time Image Processing and Deep Learning 2019 ◽

10.1117/12.2518438 ◽

2019 ◽

Author(s):

Ravi S. Ravela ◽

Mukul V. Shirvaikar ◽

Christos Grecos

Keyword(s):

Neural Networks ◽

Image Quality ◽

Quality Assessment ◽

Convolutional Neural Networks ◽

Image Quality Assessment ◽

Reference Image ◽

Deep Convolutional Neural Networks

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An accurate deep convolutional neural networks model for no-reference image quality assessment

2017 IEEE International Conference on Multimedia and Expo (ICME) ◽

10.1109/icme.2017.8019508 ◽

2017 ◽

Cited By ~ 10

Author(s):

Bahetiyaer Bare ◽

Ke Li ◽

Bo Yan

Keyword(s):

Neural Networks ◽

Image Quality ◽

Quality Assessment ◽

Convolutional Neural Networks ◽

Image Quality Assessment ◽

Reference Image ◽

Deep Convolutional Neural Networks

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No-Reference Image Quality Assessment Based on Multi-scale Convolutional Neural Networks

Advances in Intelligent Systems and Computing - Intelligent Computing ◽

10.1007/978-3-030-22868-2_84 ◽

2019 ◽

pp. 1202-1216

Author(s):

Peikun Chen ◽

Yuzhen Niu ◽

Dong Huang

Keyword(s):

Neural Networks ◽

Image Quality ◽

Quality Assessment ◽

Convolutional Neural Networks ◽

Image Quality Assessment ◽

Reference Image ◽

Multi Scale

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Context-dependent image quality assessment of JPEG compressed Mars Science Laboratory Mastcam images using convolutional neural networks

Computers & Geosciences ◽

10.1016/j.cageo.2018.06.001 ◽

2018 ◽

Vol 118 ◽

pp. 109-121 ◽

Cited By ~ 6

Author(s):

Hannah R. Kerner ◽

James F. Bell ◽

Heni Ben Amor

Keyword(s):

Neural Networks ◽

Image Quality ◽

Quality Assessment ◽

Convolutional Neural Networks ◽

Image Quality Assessment ◽

Science Laboratory ◽

Mars Science Laboratory ◽

Context Dependent

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No-reference image quality assessment using Prewitt magnitude based on convolutional neural networks

Signal Image and Video Processing ◽

10.1007/s11760-015-0784-2 ◽

2015 ◽

Vol 10 (4) ◽

pp. 609-616 ◽

Cited By ~ 40

Author(s):

Jie Li ◽

Lian Zou ◽

Jia Yan ◽

Dexiang Deng ◽

Tao Qu ◽

...

Keyword(s):

Neural Networks ◽

Image Quality ◽

Quality Assessment ◽

Convolutional Neural Networks ◽

Image Quality Assessment ◽

Reference Image

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Stereoscopic image quality assessment via convolutional neural networks

2017 International Smart Cities Conference (ISC2) ◽

10.1109/isc2.2017.8090873 ◽

2017 ◽

Cited By ~ 6

Author(s):

Qingbing Sang ◽

Tingting Gu ◽

Chaofeng Li ◽

Xiaojun Wu

Keyword(s):

Neural Networks ◽

Image Quality ◽

Quality Assessment ◽

Convolutional Neural Networks ◽

Image Quality Assessment ◽

Stereoscopic Image

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Face image quality assessment for face selection in surveillance video using convolutional neural networks

2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP) ◽

10.1109/globalsip.2015.7418261 ◽

2015 ◽

Cited By ~ 8

Author(s):

S. Vignesh ◽

K.V.S.N.L. Manasa Priya ◽

Sumohana S. Channappayya

Keyword(s):

Neural Networks ◽

Image Quality ◽

Quality Assessment ◽

Convolutional Neural Networks ◽

Image Quality Assessment ◽

Face Image ◽

Surveillance Video

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