Multidisciplinary Ophthalmic Imaging

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Artificial Intelligence September 2024

Prediction of Post-Treatment Visual Acuity in Age-Related Macular Degeneration Patients With an Interpretable Machine Learning Method

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Najung Kim; Minsub Lee; Hyewon Chung; Hyung Chan Kim; Hyungwoo Lee
TAGS: age-related macular degeneration, anti-vascular endothelial growth factor therapy, cohort studies, diagnostic imaging, drug loading dose, injections, machine learning, visual acuity, treatment protocols, eye
Trans. Vis. Sci. Tech.. 2024; 13(9):3. https://doi.org/10.1167/tvst.13.9.3

Includes: Supplemental Content

Artificial Intelligence August 2024

Multimodal Retinal Imaging Classification for Parkinson's Disease Using a Convolutional Neural Network

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Alexander Richardson; Anita Kundu; Ricardo Henao; Terry Lee; Burton L. Scott; Dilraj S. Grewal; Sharon Fekrat
TAGS: color, convolutional neural networks, eye, parkinson disease, retina, retinal imaging, diagnostic imaging
Trans. Vis. Sci. Tech.. 2024; 13(8):23. https://doi.org/10.1167/tvst.13.8.23

Glaucoma August 2024

Detecting Visual Field Worsening From Optic Nerve Head and Macular Optical Coherence Tomography Thickness Measurements

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Alex T. Pham; Annabelle A. Pan; Chris Bradley; Kaihua Hou; Patrick Herbert; Chris Johnson; Michael Wall; Jithin Yohannan
TAGS: eye, glaucoma, machine learning, optic disk, optical coherence tomography, retinal nerve fiber layer, visual fields, trend, models, statistical, severity of illness
Trans. Vis. Sci. Tech.. 2024; 13(8):12. https://doi.org/10.1167/tvst.13.8.12

Artificial Intelligence August 2024

Topographic Clinical Insights From Deep Learning–Based Geographic Atrophy Progression Prediction

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Julia Cluceru; Neha Anegondi; Simon S. Gao; Aaron Y. Lee; Eleonora M. Lad; Usha Chakravarthy; Qi Yang; Verena Steffen; Michel Friesenhahn; Christina Rabe; Daniela Ferrara
TAGS: ablation, age-related macular degeneration, nonexudative, datasets, deep learning, masks, diagnostic imaging, growth rate, pixel, shape
Trans. Vis. Sci. Tech.. 2024; 13(8):6. https://doi.org/10.1167/tvst.13.8.6

Includes: Supplemental Content

Telemedicine July 2024

Evaluating the Diagnostic Accuracy of a Portable, Motorized, and Remotely Controlled Slit Lamp Imaging Adaptor Prototype for Head-Mounted Displays

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Ana Diego; Abdelrahman Montaser Anter; Gustavo Rosa Gameiro; Maria Matosas; Georgeana Mijares; Mohamed Abou Shousha
TAGS: diagnostic imaging, eye, slit lamps
Trans. Vis. Sci. Tech.. 2024; 13(7):6. https://doi.org/10.1167/tvst.13.7.6

Artificial Intelligence June 2024

Deep Neural Networks for Automated Outer Plexiform Layer Subsidence Detection on Retinal OCT of Patients With Intermediate AMD

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Guilherme Aresta; Teresa Araujo; Gregor S. Reiter; Julia Mai; Sophie Riedl; Christoph Grechenig; Robyn H. Guymer; Zhichao Wu; Ursula Schmidt-Erfurth; Hrvoje Bogunovic
TAGS: biological markers, datasets, lead, volume, eye, deep learning
Trans. Vis. Sci. Tech.. 2024; 13(6):7. https://doi.org/10.1167/tvst.13.6.7

Artificial Intelligence May 2024

Convolutional Neural Network–Based Prediction of Axial Length Using Color Fundus Photography

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Che-Ning Yang; Wei-Li Chen; Hsu-Hang Yeh; Hsiao-Sang Chu; Jo-Hsuan Wu; Yi-Ting Hsieh
TAGS: color, convolutional neural networks, fundus photography, deep learning
Trans. Vis. Sci. Tech.. 2024; 13(5):23. https://doi.org/10.1167/tvst.13.5.23

Neuro-ophthalmology May 2024

PallorMetrics: Software for Automatically Quantifying Optic Disc Pallor in Fundus Photographs, and Associations With Peripapillary RNFL Thickness

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Samuel Gibbon; Graciela Muniz-Terrera; Fabian S. L. Yii; Charlene Hamid; Simon Cox; Ian J. C. Maccormick; Andrew J. Tatham; Craig Ritchie; Emanuele Trucco; Baljean Dhillon; Thomas J. MacGillivray
TAGS: datasets, fundus photography, optic disc pallor, pallor, software, optic disk, retinal nerve fiber layer, fovea centralis
Trans. Vis. Sci. Tech.. 2024; 13(5):20. https://doi.org/10.1167/tvst.13.5.20

Includes: Supplemental Content

Retina April 2024

Real-Time Temperature-Controlled Retinal Laser Irradiation in Rabbits

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Claus von der Burchard; Christopher Kren; Jan-Erik Fleger; Dirk Theisen-Kunde; Veit Danicke; Hossam S. Abbas; Viktoria Kleyman; Johann Roider; Ralf Brinkmann
TAGS: body temperature, lasers, oryctolagus cuniculus, temperature
Trans. Vis. Sci. Tech.. 2024; 13(4):26. https://doi.org/10.1167/tvst.13.4.26

Includes: Supplemental Content

Artificial Intelligence April 2024

Retinal Fractal Dimension Is a Potential Biomarker for Systemic Health—Evidence From a Mixed-Age, Primary-Care Population

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Justin Engelmann; Stephanie Kearney; Alice McTrusty; Greta McKinlay; Miguel O. Bernabeu; Niall Strang
TAGS: biological markers, fractals, health, image quality, primary health care
Trans. Vis. Sci. Tech.. 2024; 13(4):19. https://doi.org/10.1167/tvst.13.4.19

Includes: Supplemental Content

Artificial Intelligence April 2024

Deep Learning-Based Automated Detection of Retinal Breaks and Detachments on Fundus Photography

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Merlin Christ; Oussama Habra; Killian Monnin; Kevin Vallotton; Raphael Sznitman; Sebastian Wolf; Martin Zinkernagel; Pablo Márquez Neila
TAGS: deep learning, retinal detachment, retinal perforations, fundus photography, learning
Trans. Vis. Sci. Tech.. 2024; 13(4):1. https://doi.org/10.1167/tvst.13.4.1

Clinical Trials March 2024

OCTA Signal Quality Augmentation Using the Isometric Handgrip Test to Maximize Vascular Flow (SQUEEZE): A Randomized Crossover Trial

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Matt Trinh; Judy Nam; Meenakshi Kumar; Lisa Nivison-Smith
TAGS: vascular flow, eye, grip strength
Trans. Vis. Sci. Tech.. 2024; 13(3):22. https://doi.org/10.1167/tvst.13.3.22

Includes: Supplemental Content

Artificial Intelligence March 2024

RobOCTNet: Robotics and Deep Learning for Referable Posterior Segment Pathology Detection in an Emergency Department Population

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Ailin Song; Jay B. Lusk; Kyung-Min Roh; S. Tammy Hsu; Nita G. Valikodath; Eleonora M. Lad; Kelly W. Muir; Matthew M. Engelhard; Alexander T. Limkakeng; Joseph A. Izatt; Ryan P. McNabb; Anthony N. Kuo
TAGS: deep learning, emergency service, hospital, pathology, robotics, training, eye
Trans. Vis. Sci. Tech.. 2024; 13(3):12. https://doi.org/10.1167/tvst.13.3.12

Includes: Multimedia, Supplemental Content

Review February 2024

Deep Learning and Machine Learning Algorithms for Retinal Image Analysis in Neurodegenerative Disease: Systematic Review of Datasets and Models

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Tyler Bahr; Truong A. Vu; Jared J. Tuttle; Raymond Iezzi
TAGS: datasets, deep learning, neurodegenerative disorders, nerve degeneration, machine learning, systematic reviews
Trans. Vis. Sci. Tech.. 2024; 13(2):16. https://doi.org/10.1167/tvst.13.2.16

Includes: Supplemental Content

Retina February 2024

Deep Learning Detection of Early Retinal Peripheral Degeneration From Ultra-Widefield Fundus Photographs of Asymptomatic Young Adult (17–19 Years) Candidates to Airforce Cadets

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Tengyun Wu; Lie Ju; Xuefei Fu; Bin Wang; Zongyuan Ge; Yong Liu
TAGS: deep learning, fundus photography, tissue degeneration, young adult, optic disk, macula lutea, screening, training
Trans. Vis. Sci. Tech.. 2024; 13(2):1. https://doi.org/10.1167/tvst.13.2.1

Includes: Supplemental Content

Retina January 2024

Fluorescence Lifetime Imaging Ophthalmoscopy of Mouse Models of Age-related Macular Degeneration

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Svenja Rebecca Sonntag; Britta Klein; Ralf Brinkmann; Salvatore Grisanti; Yoko Miura
TAGS: age-related macular degeneration, apolipoprotein e, diagnostic imaging, fluorescence, mice, ophthalmoscopy, total arterial compliance, trigeminal autonomic cephalalgias, teller acuity cards, lipids
Trans. Vis. Sci. Tech.. 2024; 13(1):24. https://doi.org/10.1167/tvst.13.1.24

Includes: Supplemental Content

Artificial Intelligence January 2024

Deep Learning Identifies High-Quality Fundus Photographs and Increases Accuracy in Automated Primary Open Angle Glaucoma Detection

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Benton Chuter; Justin Huynh; Christopher Bowd; Evan Walker; Jasmin Rezapour; Nicole Brye; Akram Belghith; Massimo A. Fazio; Christopher A. Girkin; Gustavo De Moraes; Jeffrey M. Liebmann; Robert N. Weinreb; Linda M. Zangwill; Mark Christopher
TAGS: fundus photography, open-angle glaucoma, deep learning, glaucoma, datasets
Trans. Vis. Sci. Tech.. 2024; 13(1):23. https://doi.org/10.1167/tvst.13.1.23

Glaucoma January 2024

Real-Time Imaging of Single Retinal Cell Apoptosis in a Non-Human Primate Ocular Hypertension Model

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Takeshi Ishikawa; Naoki Kishi; Yoshiko Shimizu; Takao Fujimura; Takao Yamazaki
TAGS: apoptosis, diagnostic imaging, eye, lasers, ocular hypertension, primates, intraocular pressure, glaucoma, cercopithecidae
Trans. Vis. Sci. Tech.. 2024; 13(1):20. https://doi.org/10.1167/tvst.13.1.20

Includes: Supplemental Content

Refractive Intervention January 2024

Ultra-Widefield Imaging of the Retinal Macrovasculature in Parkinson Disease Versus Controls With Normal Cognition Using Alpha-Shapes Analysis

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Justin P. Ma; Cason B. Robbins; Emma Pead; Sarah McGrory; Charlene Hamid; Dilraj S. Grewal; Burton L. Scott; Emanuele Trucco; Tom J. MacGillivray; Sharon Fekrat
TAGS: cognition, diagnostic imaging, parkinson disease, shape, retinal vessels, eye, vasculature
Trans. Vis. Sci. Tech.. 2024; 13(1):15. https://doi.org/10.1167/tvst.13.1.15

Glaucoma January 2024

Detecting Established Glaucoma Using OCT Alone: Utilizing an OCT Reading Center in a Real-World Clinical Setting

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Ari Leshno; Emmanouil Tsamis; Sitara Hirji; Gabriel A. Gomide; Noga Harizman; Carlos Gustavo De Moraes; Aakriti Garg Shukla; George A. Cioffi; Donald C. Hood; Jeffrey M. Liebmann
TAGS: diagnostic imaging, glaucoma, reading (activity), eye
Trans. Vis. Sci. Tech.. 2024; 13(1):4. https://doi.org/10.1167/tvst.13.1.4

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Prediction of Post-Treatment Visual Acuity in Age-Related Macular Degeneration Patients With an Interpretable Machine Learning Method

Multimodal Retinal Imaging Classification for Parkinson's Disease Using a Convolutional Neural Network

Detecting Visual Field Worsening From Optic Nerve Head and Macular Optical Coherence Tomography Thickness Measurements

Topographic Clinical Insights From Deep Learning–Based Geographic Atrophy Progression Prediction

Evaluating the Diagnostic Accuracy of a Portable, Motorized, and Remotely Controlled Slit Lamp Imaging Adaptor Prototype for Head-Mounted Displays

Deep Neural Networks for Automated Outer Plexiform Layer Subsidence Detection on Retinal OCT of Patients With Intermediate AMD

Convolutional Neural Network–Based Prediction of Axial Length Using Color Fundus Photography

PallorMetrics: Software for Automatically Quantifying Optic Disc Pallor in Fundus Photographs, and Associations With Peripapillary RNFL Thickness

Real-Time Temperature-Controlled Retinal Laser Irradiation in Rabbits

Retinal Fractal Dimension Is a Potential Biomarker for Systemic Health—Evidence From a Mixed-Age, Primary-Care Population

Deep Learning-Based Automated Detection of Retinal Breaks and Detachments on Fundus Photography

OCTA Signal Quality Augmentation Using the Isometric Handgrip Test to Maximize Vascular Flow (SQUEEZE): A Randomized Crossover Trial

RobOCTNet: Robotics and Deep Learning for Referable Posterior Segment Pathology Detection in an Emergency Department Population

Deep Learning and Machine Learning Algorithms for Retinal Image Analysis in Neurodegenerative Disease: Systematic Review of Datasets and Models

Deep Learning Detection of Early Retinal Peripheral Degeneration From Ultra-Widefield Fundus Photographs of Asymptomatic Young Adult (17–19 Years) Candidates to Airforce Cadets

Fluorescence Lifetime Imaging Ophthalmoscopy of Mouse Models of Age-related Macular Degeneration

Deep Learning Identifies High-Quality Fundus Photographs and Increases Accuracy in Automated Primary Open Angle Glaucoma Detection

Real-Time Imaging of Single Retinal Cell Apoptosis in a Non-Human Primate Ocular Hypertension Model

Ultra-Widefield Imaging of the Retinal Macrovasculature in Parkinson Disease Versus Controls With Normal Cognition Using Alpha-Shapes Analysis

Detecting Established Glaucoma Using OCT Alone: Utilizing an OCT Reading Center in a Real-World Clinical Setting

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