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Hiroshi Ishikawa

Oregon Health & Science University

Affiliations

Hiroshi Ishikawa is a Senior Professor at Oregon Health & Science University, specializing in ophthalmology, visual science, and biomedical imaging. His research focuses on optical coherence tomography (OCT), retinal imaging, and the application of artificial intelligence and deep learning to glaucoma diagnosis and visual field forecasting. His recent publications include work on AI-driven OCT analysis for glaucoma, hybrid deep-learning models for visual field test prediction, and normative variability in retinal nerve fiber layer thickness. He has also contributed to studies on visual field loss in USH2A-related retinal degeneration and authored a comprehensive volume on OCT of ocular diseases.

Honors

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Hiroshi Ishikawa

Oregon Health & Science University

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ophthalmology optical coherence tomography glaucoma visual science medical imaging biomedical imaging retina ophthalmology retina medical optical imaging neuroscience optical imaging radiology neurology optic nerve trabecular meshwork neuro-ophthalmology biological imaging neuroimaging vision research computational imaging ocular disease optometry medical image computing confocal microscopy ocular surface visual diagnosis 3d imaging ultrasound experimental ophthalmology lamina cribrosa biomedical optics glaucoma detection glaucoma progression convolutional neural networks optical metrology ultrasound biomicroscopy machine vision optical information processing tissue imaging image segmentation glaucomatous eyes pediatric ophthalmology biomedical photonics optic nerve head machine learning research medical image analysis diagnostic imaging 3d computer vision visual function image enhancement 3d vision photomedicine medical ultrasound healthy subjects glaucoma diagnosis biomedical informatics surgical pathology microarchitecture bone research spectral imaging digital imaging optic pathway gliomas pupillary dilation canal cross-sectional area neuroradiology fibers experimental medicine benchmark studies motion analysis image quality assessment hidden markov model local binary patterns iop elevation living human eye image acquisition particle filtering

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Hybrid Deep Learning–Based Approach for Visual Field Test Forecasting. Ophthalmology Science (2025)

convolutional neural networksforecastingdata-driven predictiondeep learningmachine learning modelsrecurrent neural networksneural network (machine learning)machine learning researchcomputational intelligencedata scienceimage representationhybrid deepmachine learning

AI and Glaucoma. (2025)

ophthalmologytrabecular meshworkophthalmology retinaglaucoma

Artificial Intelligence for Optical Coherence Tomography in Glaucoma. Translational Vision Science & Technology (2025)

medical optical imagingoptometryoptical coherence tomographybiomedical imagingophthalmologytrabecular meshworkglaucoma

Characterization of Visual Field Loss Over 4 Years in the Rate of Progression in Ush2A-Related Retinal Degeneration (Rush2A) Study. American Journal of Ophthalmology (2025)

Jacque L DuncanMaureen G MaguireLee S McDanielNicole R DoucetIsabelle AudoAllison R AyalaJanet K CheethamPeiyao ChengTodd A DurhamRachel M HuckfeldtRobert B HufnagelK Thiran JayasunderaNaheed KhanBrett MalbinRamiro S MaldonadoMichel MichaelidesMark E PennesiChristina Y WengAlex ZmejkoskiShobana AravindHiroshi IshikawaDavid G Birch

retinavisual field lossocular diseasevisual systemvisual impairmentsophthalmology

Normative Variability in Retinal Nerve Fiber Layer Thickness: Does It Matter Where the Peaks Are?. Translational Vision Science & Technology (2025)

peaks areneuroscienceneuroimagingvisual systemophthalmology retinaoptic nervenormative variabilityophthalmologymatter wherevisual science

Technical Aspects of Deep Learning in Ophthalmology. (2025)

convolutional neural networksdeep learningneural network (machine learning)computational intelligenceimage representationophthalmologyimage analysisvisual sciencemachine learning

AI-Readi: Rethinking AI Data Collection, Preparation and Sharing in Diabetes Research and Beyond. Nature Metabolism (2024)

Sally L. BaxterVirginia R. de SaKadija FerrymanPrachee JainCecilia S. LeeJennifer Li-Pook-ThanT. Y. Alvin LiuJulia P. OwenBhavesh PatelQilu YuLinda M. ZangwillAmir BahmaniChristopher G. ChuteJeffrey C. EdbergSamantha HurstHiroshi IshikawaAaron Y. LeeGerald McGwinShannon McWeeneyCamille NebekerCynthia OwsleySara J. SingerRiddhiman AdibMohammad AdibuzzamanArash AlaviCatherine AshleyAdrienne BaerErik BentonMarian BlazesAaron CohenBenjamin CordierKatie CristColleen CuddyAydan GasimovaNayoon GimStephanie HongTrina KimWei-Chun LinJessica MitchellCaitlyn NgadisastraVictoria PatroniloJamie ShafferSanjay SoundarajanKevin ZhaoCaroline DroletAbigail LuceroDawn MatthiesHanna PittockKate WatkinsBrittany YorkCharles E. AmankwaMonique BangudiNada HaboudalShahin HallajAnna HeinkeLingling HuangFritz Gerald P. KalawApoorva KarsoliaHadi KhazaeiMuna MohammedKyongmi SimpkinsXujing Wang

artificial intelligencemetabolismdata sciencediabetes research

Deep-Learning-Based Group Pointwise Spatial Mapping of Structure to Function in Glaucoma. Ophthalmology Science (2024)

Zhiqi ChenHiroshi IshikawaYao WangGadi WollsteinJoel S. Schuman

computational biologyoptometrydeep learningneuroscienceophthalmologybiomedical imagingglaucoma

Interpretation of the Optical Coherence Tomography Image. CRC Press eBooks (2024)

Hiroshi IshikawaGadi WollsteinKatie A. LucyLindsey S FolioJessica E. NevinsJames G. FujimotoJoel S. SchumanCarmen A. Puliafito

optical imagingoptical coherence tomographymedical imagingmedical image analysisoptical metrologyophthalmologybiomedical imaging

Optical Coherence Tomography of Ocular Diseases. CRC Press eBooks (2024)

Joel S. SchumanJames G. FujimotoJay DukerHiroshi Ishikawa

optical coherence tomographyophthalmologymedical imaging

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Hiroshi Ishikawa

Oregon Health & Science University

Affiliations

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Hiroshi Ishikawa

Oregon Health & Science University

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Hybrid Deep Learning–Based Approach for Visual Field Test Forecasting. Ophthalmology Science (2025)

AI and Glaucoma. (2025)

ophthalmologytrabecular meshworkophthalmology retinaglaucoma

Artificial Intelligence for Optical Coherence Tomography in Glaucoma. Translational Vision Science & Technology (2025)

medical optical imagingoptometryoptical coherence tomographybiomedical imagingophthalmologytrabecular meshworkglaucoma

Characterization of Visual Field Loss Over 4 Years in the Rate of Progression in Ush2A-Related Retinal Degeneration (Rush2A) Study. American Journal of Ophthalmology (2025)

retinavisual field lossocular diseasevisual systemvisual impairmentsophthalmology

Normative Variability in Retinal Nerve Fiber Layer Thickness: Does It Matter Where the Peaks Are?. Translational Vision Science & Technology (2025)

peaks areneuroscienceneuroimagingvisual systemophthalmology retinaoptic nervenormative variabilityophthalmologymatter wherevisual science

Technical Aspects of Deep Learning in Ophthalmology. (2025)

convolutional neural networksdeep learningneural network (machine learning)computational intelligenceimage representationophthalmologyimage analysisvisual sciencemachine learning

AI-Readi: Rethinking AI Data Collection, Preparation and Sharing in Diabetes Research and Beyond. Nature Metabolism (2024)

artificial intelligencemetabolismdata sciencediabetes research

Deep-Learning-Based Group Pointwise Spatial Mapping of Structure to Function in Glaucoma. Ophthalmology Science (2024)

Zhiqi ChenHiroshi IshikawaYao WangGadi WollsteinJoel S. Schuman

computational biologyoptometrydeep learningneuroscienceophthalmologybiomedical imagingglaucoma

Interpretation of the Optical Coherence Tomography Image. CRC Press eBooks (2024)

Hiroshi IshikawaGadi WollsteinKatie A. LucyLindsey S FolioJessica E. NevinsJames G. FujimotoJoel S. SchumanCarmen A. Puliafito

optical imagingoptical coherence tomographymedical imagingmedical image analysisoptical metrologyophthalmologybiomedical imaging

Optical Coherence Tomography of Ocular Diseases. CRC Press eBooks (2024)

Joel S. SchumanJames G. FujimotoJay DukerHiroshi Ishikawa

optical coherence tomographyophthalmologymedical imaging

1
2
3
4
5
44
10 / page