Volume 9 Issue 2 | TVST | ARVO Journals

Will AI Replace Ophthalmologists? Open Access

Edward Korot; Siegfried K. Wagner; Livia Faes; Xiaoxuan Liu; Josef Huemer; Daniel Ferraz; Pearse A. Keane; Konstantinos Balaskas

Tags: ophthalmologists

Translational Vision Science & Technology January 2020, Vol.9, 2. doi:https://doi.org/10.1167/tvst.9.2.2

Development and Evaluation of a Deep Learning System for Screening Retinal Hemorrhage Based on Ultra-Widefield Fundus Images Open Access

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Zhongwen Li; Chong Guo; Danyao Nie; Duoru Lin; Yi Zhu; Chuan Chen; Yifan Xiang; Fabao Xu; Chenjin Jin; Xiayin Zhang; Yahan Yang; Kai Zhang; Lanqin Zhao; Ping Zhang; Yu Han; Dongyuan Yun; Xiaohang Wu; Pisong Yan; Haotian Lin

Tags: datasets, deep learning, retinal hemorrhage, screening, ophthalmologists

Translational Vision Science & Technology January 2020, Vol.9, 3. doi:https://doi.org/10.1167/tvst.9.2.3

Factors in Color Fundus Photographs That Can Be Used by Humans to Determine Sex of Individuals Open Access

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Takehiro Yamashita; Ryo Asaoka; Hiroto Terasaki; Hiroshi Murata; Minoru Tanaka; Kumiko Nakao; Taiji Sakamoto

Tags: central retinal artery, color, fundus photography, sex, optic disk

Translational Vision Science & Technology January 2020, Vol.9, 4. doi:https://doi.org/10.1167/tvst.9.2.4

Artificial Intelligence in Retinopathy of Prematurity Diagnosis Open Access

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Brittni A. Scruggs; R. V. Paul Chan; Jayashree Kalpathy-Cramer; Michael F. Chiang; J. Peter Campbell

Tags: artificial intelligence, retinopathy of prematurity

Translational Vision Science & Technology February 2020, Vol.9, 5. doi:https://doi.org/10.1167/tvst.9.2.5

Insights into Systemic Disease through Retinal Imaging-Based Oculomics Open Access

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Siegfried K. Wagner; Dun Jack Fu; Livia Faes; Xiaoxuan Liu; Josef Huemer; Hagar Khalid; Daniel Ferraz; Edward Korot; Christopher Kelly; Konstantinos Balaskas; Alastair K. Denniston; Pearse A. Keane

Tags: cardiovascular diseases, diagnostic imaging, eye, systemic disease, neurodegenerative disorders

Translational Vision Science & Technology February 2020, Vol.9, 6. doi:https://doi.org/10.1167/tvst.9.2.6

A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies Open Access

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Livia Faes; Xiaoxuan Liu; Siegfried K. Wagner; Dun Jack Fu; Konstantinos Balaskas; Dawn A. Sim; Lucas M. Bachmann; Pearse A. Keane; Alastair K. Denniston

Tags: artificial intelligence, datasets, machine learning

Translational Vision Science & Technology February 2020, Vol.9, 7. doi:https://doi.org/10.1167/tvst.9.2.7

Explainable Machine Learning Approach as a Tool to Understand Factors Used to Select the Refractive Surgery Technique on the Expert Level Open Access

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Tae Keun Yoo; Ik Hee Ryu; Hannuy Choi; Jin Kuk Kim; In Sik Lee; Jung Sub Kim; Geunyoung Lee; Tyler Hyungtaek Rim

Tags: machine learning, surgical ocular refractive procedure, surgical procedures, operative, datasets, training

Translational Vision Science & Technology February 2020, Vol.9, 8. doi:https://doi.org/10.1167/tvst.9.2.8

How Artificial Intelligence Can Transform Randomized Controlled Trials Open Access

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Cecilia S. Lee; Aaron Y. Lee

Tags: artificial intelligence, randomized controlled trial

Translational Vision Science & Technology February 2020, Vol.9, 9. doi:https://doi.org/10.1167/tvst.9.2.9

Plus Disease in Retinopathy of Prematurity: Convolutional Neural Network Performance Using a Combined Neural Network and Feature Extraction Approach Open Access

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Veysi M. Yildiz; Peng Tian; Ilkay Yildiz; James M. Brown; Jayashree Kalpathy-Cramer; Jennifer Dy; Stratis Ioannidis; Deniz Erdogmus; Susan Ostmo; Sang Jin Kim; R. V. Paul Chan; J. Peter Campbell; Michael F. Chiang; for the Imaging and Informatics in Retinopathy of Prematurity (i-ROP) Research Consortium

Tags: convolutional neural networks, datasets, retinopathy of prematurity, optic disk

Translational Vision Science & Technology February 2020, Vol.9, 10. doi:https://doi.org/10.1167/tvst.9.2.10

Methodological Challenges of Deep Learning in Optical Coherence Tomography for Retinal Diseases: A Review Open Access

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Ryan T. Yanagihara; Cecilia S. Lee; Daniel Shu Wei Ting; Aaron Y. Lee

Tags: datasets, deep learning, optical coherence tomography, retinal diseases, diagnostic imaging

Translational Vision Science & Technology February 2020, Vol.9, 11. doi:https://doi.org/10.1167/tvst.9.2.11

A 3D Deep Learning System for Detecting Referable Glaucoma Using Full OCT Macular Cube Scans Open Access

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Daniel B. Russakoff; Suria S. Mannil; Jonathan D. Oakley; An Ran Ran; Carol Y. Cheung; Srilakshmi Dasari; Mohammed Riyazzuddin; Sriharsha Nagaraj; Harsha L. Rao; Dolly Chang; Robert T. Chang

Tags: datasets, deep learning, glaucoma, eye

Translational Vision Science & Technology February 2020, Vol.9, 12. doi:https://doi.org/10.1167/tvst.9.2.12

Applications of Artificial Intelligence to Electronic Health Record Data in Ophthalmology Open Access

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Wei-Chun Lin; Jimmy S. Chen; Michael F. Chiang; Michelle R. Hribar

Tags: artificial intelligence, electronic medical records, ophthalmology

Translational Vision Science & Technology February 2020, Vol.9, 13. doi:https://doi.org/10.1167/tvst.9.2.13

Introduction to Machine Learning, Neural Networks, and Deep Learning Open Access

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Rene Y. Choi; Aaron S. Coyner; Jayashree Kalpathy-Cramer; Michael F. Chiang; J. Peter Campbell

Tags: deep learning, learning, machine learning, datasets

Translational Vision Science & Technology February 2020, Vol.9, 14. doi:https://doi.org/10.1167/tvst.9.2.14

Application of a Deep Machine Learning Model for Automatic Measurement of EZ Width in SD-OCT Images of RP Open Access

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Yi-Zhong Wang; Daniel Galles; Martin Klein; Kirsten G. Locke; David G. Birch

Tags: datasets, machine learning, pixel, spectral domain-optical coherence tomography, training

Translational Vision Science & Technology March 2020, Vol.9, 15. doi:https://doi.org/10.1167/tvst.9.2.15

The AI Revolution and How to Prepare for It Open Access

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Joelle A. Hallak; Dimitri T. Azar

Tags: health care systems, knowledge acquisition, ophthalmologists, ophthalmology, research personnel

Translational Vision Science & Technology March 2020, Vol.9, 16. doi:https://doi.org/10.1167/tvst.9.2.16

A Deep-Learning Approach for Automated OCT En-Face Retinal Vessel Segmentation in Cases of Optic Disc Swelling Using Multiple En-Face Images as Input Open Access

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Mohammad Shafkat Islam; Jui-Kai Wang; Samuel S. Johnson; Matthew J. Thurtell; Randy H. Kardon; Mona K. Garvin

Tags: deep learning, face, papilledema, retinal vessels, datasets

Translational Vision Science & Technology March 2020, Vol.9, 17. doi:https://doi.org/10.1167/tvst.9.2.17

Deep Neural Network for Scleral Spur Detection in Anterior Segment OCT Images: The Chinese American Eye Study Open Access

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Benjamin Y. Xu; Michael Chiang; Anmol A. Pardeshi; Sasan Moghimi; Rohit Varma

Tags: chinese (other dialects), chinese people, deep learning, eye, sclera

Translational Vision Science & Technology March 2020, Vol.9, 18. doi:https://doi.org/10.1167/tvst.9.2.18

Artificial Intelligence Mapping of Structure to Function in Glaucoma Open Access

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Eduardo B. Mariottoni; Shounak Datta; David Dov; Alessandro A. Jammal; Samuel I. Berchuck; Ivan M. Tavares; Lawrence Carin; Felipe A. Medeiros

Tags: artificial intelligence, glaucoma, retinal nerve fiber layer, visual field defects, spectral domain-optical coherence tomography

Translational Vision Science & Technology March 2020, Vol.9, 19. doi:https://doi.org/10.1167/tvst.9.2.19

Ensemble Deep Learning for Diabetic Retinopathy Detection Using Optical Coherence Tomography Angiography Open Access

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Morgan Heisler; Sonja Karst; Julian Lo; Zaid Mammo; Timothy Yu; Simon Warner; David Maberley; Mirza Faisal Beg; Eduardo V. Navajas; Marinko V. Sarunic

Tags: angiogram, deep learning, diabetic retinopathy, optical coherence tomography, cell adhesion molecules

Translational Vision Science & Technology April 2020, Vol.9, 20. doi:https://doi.org/10.1167/tvst.9.2.20

Fast and Automated Hyperreflective Foci Segmentation Based on Image Enhancement and Improved 3D U-Net in SD-OCT Volumes with Diabetic Retinopathy Open Access

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Sha Xie; Idowu Paul Okuwobi; Mingchao Li; Yuhan Zhang; Songtao Yuan; Qiang Chen

Tags: diabetic retinopathy, image enhancement, spectral domain-optical coherence tomography

Translational Vision Science & Technology April 2020, Vol.9, 21. doi:https://doi.org/10.1167/tvst.9.2.21

Health Economic and Safety Considerations for Artificial Intelligence Applications in Diabetic Retinopathy Screening Open Access

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Yuchen Xie; Dinesh V. Gunasekeran; Konstantinos Balaskas; Pearse A. Keane; Dawn A. Sim; Lucas M. Bachmann; Carl Macrae; Daniel S. W. Ting

Tags: safety, screening, health, diabetic retinopathy screening, artificial intelligence

Translational Vision Science & Technology April 2020, Vol.9, 22. doi:https://doi.org/10.1167/tvst.9.2.22

DeshadowGAN: A Deep Learning Approach to Remove Shadows from Optical Coherence Tomography Images Open Access

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Haris Cheong; Sripad Krishna Devalla; Tan Hung Pham; Liang Zhang; Tin Aung Tun; Xiaofei Wang; Shamira Perera; Leopold Schmetterer; Tin Aung; Craig Boote; Alexandre Thiery; Michaël J. A. Girard

Tags: artifacts, deep learning, optical coherence tomography, pixel

Translational Vision Science & Technology April 2020, Vol.9, 23. doi:https://doi.org/10.1167/tvst.9.2.23

Evaluating the Performance of Various Machine Learning Algorithms to Detect Subclinical Keratoconus Open Access

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Ke Cao; Karin Verspoor; Srujana Sahebjada; Paul N. Baird

Tags: keratoconus, machine learning, eye

Translational Vision Science & Technology April 2020, Vol.9, 24. doi:https://doi.org/10.1167/tvst.9.2.24

Artificial Intelligence to Stratify Severity of Age-Related Macular Degeneration (AMD) and Predict Risk of Progression to Late AMD Open Access

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Alauddin Bhuiyan; Tien Yin Wong; Daniel Shu Wei Ting; Arun Govindaiah; Eric H. Souied; R. Theodore Smith

Tags: age-related macular degeneration, artificial intelligence, datasets, drusen, screening

Translational Vision Science & Technology April 2020, Vol.9, 25. doi:https://doi.org/10.1167/tvst.9.2.25

Performance of Classification Systems for Age-Related Macular Degeneration in the Rotterdam Study Open Access

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Eric F. Thee; Magda A. Meester-Smoor; Daniel T. Luttikhuizen; Johanna M. Colijn; Clair A. Enthoven; Annechien E. G. Haarman; Dimitris Rizopoulos; Caroline C. W. Klaver; for the EyeNED Reading Center

Tags: age-related macular degeneration, drusen, incidence

Translational Vision Science & Technology April 2020, Vol.9, 26. doi:https://doi.org/10.1167/tvst.9.2.26

Effects of Study Population, Labeling and Training on Glaucoma Detection Using Deep Learning Algorithms Open Access

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Mark Christopher; Kenichi Nakahara; Christopher Bowd; James A. Proudfoot; Akram Belghith; Michael H. Goldbaum; Jasmin Rezapour; Robert N. Weinreb; Massimo A. Fazio; Christopher A. Girkin; Jeffrey M. Liebmann; Gustavo De Moraes; Hiroshi Murata; Kana Tokumo; Naoto Shibata; Yuri Fujino; Masato Matsuura; Yoshiaki Kiuchi; Masaki Tanito; Ryo Asaoka; Linda M. Zangwill

Tags: datasets, deep learning, glaucoma, training, study population

Translational Vision Science & Technology April 2020, Vol.9, 27. doi:https://doi.org/10.1167/tvst.9.2.27

Predicting High Coronary Artery Calcium Score From Retinal Fundus Images With Deep Learning Algorithms Open Access

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Jaemin Son; Joo Young Shin; Eun Ju Chun; Kyu-Hwan Jung; Kyu Hyung Park; Sang Jun Park

Tags: coronary calcium score, deep learning

Translational Vision Science & Technology May 2020, Vol.9, 28. doi:https://doi.org/10.1167/tvst.9.2.28

Assessment of Generative Adversarial Networks Model for Synthetic Optical Coherence Tomography Images of Retinal Disorders Open Access

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Ce Zheng; Xiaolin Xie; Kang Zhou; Bang Chen; Jili Chen; Haiyun Ye; Wen Li; Tong Qiao; Shenghua Gao; Jianlong Yang; Jiang Liu

Tags: datasets, optical coherence tomography, retinal diseases, training, image quality

Translational Vision Science & Technology May 2020, Vol.9, 29. doi:https://doi.org/10.1167/tvst.9.2.29

EMKLAS: A New Automatic Scoring System for Early and Mild Keratoconus Detection Open Access

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Jose S. Velázquez-Blázquez; José M. Bolarín; Francisco Cavas-Martínez; Jorge L. Alió

Tags: keratoconus, regression analysis, training, cornea, eye

Translational Vision Science & Technology May 2020, Vol.9, 30. doi:https://doi.org/10.1167/tvst.9.2.30

Automated Recognition of Retinal Pigment Epithelium Cells on Limited Training Samples Using Neural Networks Open Access

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Qitong Gao; Ying Xu; Joshua Amason; Anna Loksztejn; Scott Cousins; Miroslav Pajic; Majda Hadziahmetovic

Tags: retinal pigment cell, retinal pigment epithelium, training, cell culture techniques, datasets

Translational Vision Science & Technology June 2020, Vol.9, 31. doi:https://doi.org/10.1167/tvst.9.2.31

A Deep Learning Model for Automated Sub-Basal Corneal Nerve Segmentation and Evaluation Using In Vivo Confocal Microscopy Open Access

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Shanshan Wei; Faqiang Shi; Yuexin Wang; Yilin Chou; Xuemin Li

Tags: cornea, deep learning, finnish congenital nephrotic syndrome, microscopy, confocal, neurons

Translational Vision Science & Technology June 2020, Vol.9, 32. doi:https://doi.org/10.1167/tvst.9.2.32

A Retrospective Comparison of Deep Learning to Manual Annotations for Optic Disc and Optic Cup Segmentation in Fundus Photographs Open Access

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Huazhu Fu; Fei Li; Yanwu Xu; Jingan Liao; Jian Xiong; Jianbing Shen; Jiang Liu; Xiulan Zhang; for iChallenge-GON study group

Tags: deep learning, fundus photography, glaucoma, optic cup, optic disk

Translational Vision Science & Technology June 2020, Vol.9, 33. doi:https://doi.org/10.1167/tvst.9.2.33

Non-uniform Label Smoothing for Diabetic Retinopathy Grading from Retinal Fundus Images with Deep Neural Networks Open Access

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Adrian Galdran; Jihed Chelbi; Riadh Kobi; José Dolz; Hervé Lombaert; Ismail ben Ayed; Hadi Chakor

Tags: diabetic retinopathy

Translational Vision Science & Technology June 2020, Vol.9, 34. doi:https://doi.org/10.1167/tvst.9.2.34

Transfer Learning for Automated OCTA Detection of Diabetic Retinopathy Open Access

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David Le; Minhaj Alam; Cham K. Yao; Jennifer I. Lim; Yi-Ting Hsieh; Robison V. P. Chan; Devrim Toslak; Xincheng Yao

Tags: diabetic retinopathy, learning, transfer technique, datasets

Translational Vision Science & Technology July 2020, Vol.9, 35. doi:https://doi.org/10.1167/tvst.9.2.35

Protecting Data Privacy in the Age of AI-Enabled Ophthalmology Open Access

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Elysse Tom; Pearse A. Keane; Marian Blazes; Louis R. Pasquale; Michael F. Chiang; Aaron Y. Lee; Cecilia S. Lee; and AAO Artificial Intelligence Task Force

Tags: ophthalmology, privacy, datasets

Translational Vision Science & Technology July 2020, Vol.9, 36. doi:https://doi.org/10.1167/tvst.9.2.36

Convolutional Neural Network Based on Fluorescein Angiography Images for Retinopathy of Prematurity Management Open Access

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Domenico Lepore; Marco H. Ji; Monica M. Pagliara; Jacopo Lenkowicz; Nikola D. Capocchiano; Luca Tagliaferri; Luca Boldrini; Vincenzo Valentini; Andrea Damiani; for the FA Team of the Italian ROP Study Group

Tags: angiogram, convolutional neural networks, fluorescein, fluorescein angiography, retinopathy of prematurity

Translational Vision Science & Technology July 2020, Vol.9, 37. doi:https://doi.org/10.1167/tvst.9.2.37

Microvasculature Segmentation and Intercapillary Area Quantification of the Deep Vascular Complex Using Transfer Learning Open Access

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Julian Lo; Morgan Heisler; Vinicius Vanzan; Sonja Karst; Ivana Zadro Matovinović; Sven Lončarić; Eduardo V. Navajas; Mirza Faisal Beg; Marinko V. Šarunić

Tags: datasets, learning, microvascular network, training, transfer technique

Translational Vision Science & Technology July 2020, Vol.9, 38. doi:https://doi.org/10.1167/tvst.9.2.38

Ophthalmologist-Level Classification of Fundus Disease With Deep Neural Networks Open Access

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Ping Jiang; Quansheng Dou; Li Shi

Tags: disorder classification, ophthalmologists, taxonomic classification, training, inference

Translational Vision Science & Technology July 2020, Vol.9, 39. doi:https://doi.org/10.1167/tvst.9.2.39

Cone Identification in Choroideremia: Repeatability, Reliability, and Automation Through Use of a Convolutional Neural Network Open Access

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Jessica I. W. Morgan; Min Chen; Andrew M. Huang; Yu You Jiang; Robert F. Cooper

Tags: choroideremia, convolutional neural networks, reliability, retinal cone

Translational Vision Science & Technology July 2020, Vol.9, 40. doi:https://doi.org/10.1167/tvst.9.2.40

Leveraging Multimodal Deep Learning Architecture with Retina Lesion Information to Detect Diabetic Retinopathy Open Access

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Vincent S. Tseng; Ching-Long Chen; Chang-Min Liang; Ming-Cheng Tai; Jung-Tzu Liu; Po-Yi Wu; Ming-Shan Deng; Ya-Wen Lee; Teng-Yi Huang; Yi-Hao Chen

Tags: deep learning, diabetic retinopathy, retina, ophthalmologists

Translational Vision Science & Technology July 2020, Vol.9, 41. doi:https://doi.org/10.1167/tvst.9.2.41

A Review of Deep Learning for Screening, Diagnosis, and Detection of Glaucoma Progression Open Access

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Atalie C. Thompson; Alessandro A. Jammal; Felipe A. Medeiros

Tags: deep learning, glaucoma, screening

Translational Vision Science & Technology July 2020, Vol.9, 42. doi:https://doi.org/10.1167/tvst.9.2.42

Automatic Segmentation of Retinal Capillaries in Adaptive Optics Scanning Laser Ophthalmoscope Perfusion Images Using a Convolutional Neural Network Open Access

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Gwen Musial; Hope M. Queener; Suman Adhikari; Hanieh Mirhajianmoghadam; Alexander W. Schill; Nimesh B. Patel; Jason Porter

Tags: blood capillaries, convolutional neural networks, lasers, ophthalmoscopes, optics

Translational Vision Science & Technology July 2020, Vol.9, 43. doi:https://doi.org/10.1167/tvst.9.2.43

Evidence Based Prediction and Progression Monitoring on Retinal Images from Three Nations Open Access

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Lutfiah Al Turk; Su Wang; Paul Krause; James Wawrzynski; George M. Saleh; Hend Alsawadi; Abdulrahman Zaid Alshamrani; Tunde Peto; Andrew Bastawrous; Jingren Li; Hongying Lilian Tang

Tags: daphnia, datasets, evidence-based practice, software, screening

Translational Vision Science & Technology August 2020, Vol.9, 44. doi:https://doi.org/10.1167/tvst.9.2.44

Current Challenges and Barriers to Real-World Artificial Intelligence Adoption for the Healthcare System, Provider, and the Patient Open Access

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Rishi P. Singh; Grant L. Hom; Michael D. Abramoff; J. Peter Campbell; Michael F. Chiang; on behalf of the AAO Task Force on Artificial Intelligence

Tags: artificial intelligence, health care systems, technology, eye, ophthalmology

Translational Vision Science & Technology August 2020, Vol.9, 45. doi:https://doi.org/10.1167/tvst.9.2.45

An Intelligent Optical Coherence Tomography-based System for Pathological Retinal Cases Identification and Urgent Referrals Open Access

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Lilong Wang; Guanzheng Wang; Meng Zhang; Dongyi Fan; Xiaoqiang Liu; Yan Guo; Rui Wang; Bin Lv; Chuanfeng Lv; Jay Wei; Xinghuai Sun; Guotong Xie; Min Wang

Tags: datasets, optics, patient referral, tomography, pathology

Translational Vision Science & Technology August 2020, Vol.9, 46. doi:https://doi.org/10.1167/tvst.9.2.46

Predicting Thioflavin Fluorescence of Retinal Amyloid Deposits Associated With Alzheimer's Disease from Their Polarimetric Properties Open Access

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Yunyi Qiu; Tao Jin; Erik Mason; Melanie C. W. Campbell

Tags: alzheimer's disease, amyloid, fluorescence, machine learning, datasets

Translational Vision Science & Technology August 2020, Vol.9, 47. doi:https://doi.org/10.1167/tvst.9.2.47

Quantifying Graft Detachment after Descemet's Membrane Endothelial Keratoplasty with Deep Convolutional Neural Networks Open Access

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Friso G. Heslinga; Mark Alberti; Josien P. W. Pluim; Javier Cabrerizo; Mitko Veta

Tags: convolutional neural networks, descemet's membrane, descemet's membrane endothelial keratoplasty, endothelium, keratoplasty

Translational Vision Science & Technology August 2020, Vol.9, 48. doi:https://doi.org/10.1167/tvst.9.2.48

Deep Learning for Assessing the Corneal Endothelium from Specular Microscopy Images up to 1 Year after Ultrathin-DSAEK Surgery Open Access

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Juan P. Vigueras-Guillén; Jeroen van Rooij; Angela Engel; Hans G. Lemij; Lucas J. van Vliet; Koenraad A. Vermeer

Tags: corneal endothelium, deep learning, descemet stripping endothelial keratoplasty, surgical procedures, operative, gold standard

Translational Vision Science & Technology August 2020, Vol.9, 49. doi:https://doi.org/10.1167/tvst.9.2.49

Piloting a Deep Learning Model for Predicting Nuclear BAP1 Immunohistochemical Expression of Uveal Melanoma from Hematoxylin-and-Eosin Sections Open Access

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Hongrun Zhang; Helen Kalirai; Amelia Acha-Sagredo; Xiaoyun Yang; Yalin Zheng; Sarah E. Coupland

Tags: bap1 gene, deep learning, eosine yellowish-(ys), hematoxylin, intraocular melanoma

Translational Vision Science & Technology September 2020, Vol.9, 50. doi:https://doi.org/10.1167/tvst.9.2.50

Development of Deep Learning Models to Predict Best-Corrected Visual Acuity from Optical Coherence Tomography Open Access

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Michael G. Kawczynski; Thomas Bengtsson; Jian Dai; J. Jill Hopkins; Simon S. Gao; Jeffrey R. Willis

Tags: deep learning, eye, optical coherence tomography, visual acuity

Translational Vision Science & Technology September 2020, Vol.9, 51. doi:https://doi.org/10.1167/tvst.9.2.51

Automated Quality Assessment and Image Selection of Ultra-Widefield Fluorescein Angiography Images through Deep Learning Open Access

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Henry H. Li; Joseph R. Abraham; Duriye Damla Sevgi; Sunil K. Srivastava; Jenna M. Hach; Jon Whitney; Amit Vasanji; Jamie L. Reese; Justis P. Ehlers

Tags: deep learning, fluorescein angiography, healthcare quality assessment, image quality, training

Translational Vision Science & Technology September 2020, Vol.9, 52. doi:https://doi.org/10.1167/tvst.9.2.52

Keratoconus Screening Based on Deep Learning Approach of Corneal Topography Open Access

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Bo-I Kuo; Wen-Yi Chang; Tai-Shan Liao; Fang-Yu Liu; Hsin-Yu Liu; Hsiao-Sang Chu; Wei-Li Chen; Fung-Rong Hu; Jia-Yush Yen; I-Jong Wang

Tags: corneal topography, deep learning, keratoconus, screening, artificial intelligence

Translational Vision Science & Technology September 2020, Vol.9, 53. doi:https://doi.org/10.1167/tvst.9.2.53

Automated Segmentation of Retinal Fluid Volumes From Structural and Angiographic Optical Coherence Tomography Using Deep Learning Open Access

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Yukun Guo; Tristan T. Hormel; Honglian Xiong; Jie Wang; Thomas S. Hwang; Yali Jia

Tags: angiogram, deep learning, optical coherence tomography, artifacts, convolutional neural networks

Translational Vision Science & Technology October 2020, Vol.9, 54. doi:https://doi.org/10.1167/tvst.9.2.54

Artificial Intelligence Algorithms to Diagnose Glaucoma and Detect Glaucoma Progression: Translation to Clinical Practice Open Access

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Anna S. Mursch-Edlmayr; Wai Siene Ng; Alberto Diniz-Filho; David C. Sousa; Louis Arnould; Matthew B. Schlenker; Karla Duenas-Angeles; Pearse A. Keane; Jonathan G. Crowston; Hari Jayaram

Translational Vision Science & Technology November 2020, Vol.9, 55. doi:https://doi.org/10.1167/tvst.9.2.55

Artificial Intelligence for Automated Overlay of Fundus Camera and Scanning Laser Ophthalmoscope Images Open Access

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Melina Cavichini; Cheolhong An; Dirk-Uwe G. Bartsch; Mahima Jhingan; Manuel J. Amador-Patarroyo; Christopher P. Long; Junkang Zhang; Yiqian Wang; Alison X. Chan; Samantha Madala; Truong Nguyen; William R. Freeman

Tags: artificial intelligence, lasers, ophthalmoscopes, scanning laser ophthalmoscopy, diagnostic imaging

Translational Vision Science & Technology October 2020, Vol.9, 56. doi:https://doi.org/10.1167/tvst.9.2.56

Artificial Intelligence Algorithms for Analysis of Geographic Atrophy: A Review and Evaluation Open Access

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Janan Arslan; Gihan Samarasinghe; Kurt K. Benke; Arcot Sowmya; Zhichao Wu; Robyn H. Guymer; Paul N. Baird

Tags: artificial intelligence, atrophy, diagnostic imaging, datasets, vision

Translational Vision Science & Technology October 2020, Vol.9, 57. doi:https://doi.org/10.1167/tvst.9.2.57

OCTA Multilayer and Multisector Peripapillary Microvascular Modeling for Diagnosing and Staging of Glaucoma Open Access

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Danilo Andrade De Jesus; Luisa Sánchez Brea; João Barbosa Breda; Ella Fokkinga; Vera Ederveen; Noor Borren; Amerens Bekkers; Michael Pircher; Ingeborg Stalmans; Stefan Klein; Theo van Walsum

Translational Vision Science & Technology November 2020, Vol.9, 58. doi:https://doi.org/10.1167/tvst.9.2.58

Identifying Mouse Autoimmune Uveitis from Fundus Photographs Using Deep Learning Open Access

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Jian Sun; Xiaoqin Huang; Charles Egwuagu; Youakim Badr; Stephen Charles Dryden; Brian Thomas Fowler; Siamak Yousefi

Translational Vision Science & Technology December 2020, Vol.9, 59. doi:https://doi.org/10.1167/tvst.9.2.59

Automatic Identification of Referral-Warranted Diabetic Retinopathy Using Deep Learning on Mobile Phone Images Open Access

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Cassie A. Ludwig; Chandrashan Perera; David Myung; Margaret A. Greven; Stephen J. Smith; Robert T. Chang; Theodore Leng

Translational Vision Science & Technology December 2020, Vol.9, 60. doi:https://doi.org/10.1167/tvst.9.2.60

DeepRetina: Layer Segmentation of Retina in OCT Images Using Deep Learning Open Access

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Qiaoliang Li; Shiyu Li; Zhuoying He; Huimin Guan; Runmin Chen; Ying Xu; Tao Wang; Suwen Qi; Jun Mei; Wei Wang

Translational Vision Science & Technology December 2020, Vol.9, 61. doi:https://doi.org/10.1167/tvst.9.2.61

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

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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

Translational Vision Science & Technology December 2020, Vol.9, 62. doi:https://doi.org/10.1167/tvst.9.2.62

Deep Learning Model for Accurate Automatic Determination of Phakic Status in Pediatric and Adult Ultrasound Biomicroscopy Images Open Access

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Christopher Le; Mariana Baroni; Alfred Vinnett; Moran R. Levin; Camilo Martinez; Mohamad Jaafar; William P. Madigan; Janet L. Alexander

Translational Vision Science & Technology December 2020, Vol.9, 63. doi:https://doi.org/10.1167/tvst.9.2.63

Systematic Comparison of Heatmapping Techniques in Deep Learning in the Context of Diabetic Retinopathy Lesion Detection Open Access

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Toon Van Craenendonck; Bart Elen; Nele Gerrits; Patrick De Boever

Translational Vision Science & Technology December 2020, Vol.9, 64. doi:https://doi.org/10.1167/tvst.9.2.64

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