Mojtaba Golzan

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University of Sydney

Australia

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Recent Grants

Grant: Close

Detecting Referable Glaucoma Using Artificial Intelligence

Open Date: 2021-11-04

Close Date:

Grant: Close

AUTONOMOUS GRADING OF DYNAMIC BLOOD VESSEL MARKERS IN THE EYE USING DEEP LEARNING

Open Date: 2021-05-01

Close Date: 2022-05-01

Grant: Close

Keeping an "eye" on the eye in Alzheimer's disease

Open Date: 2018-01-01

Close Date: 2018-01-01

Grant: Close

Implications of retinal neurodegeneration in Alzheimer's disease

Open Date: 2016-03-01

Close Date: 2020-02-01

Grant: Close

Technology platform for noninvasive measurements of intracranial pressure

Open Date: 2015-06-01

Close Date: 2018-06-01

Articles (10)

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2023

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2023

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2023

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2023

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2022

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2022

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2021

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2021

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2020

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2020

Collaborators (5)

Olga Shimoni

University of Western Australia

AUSTRALIA

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Sahar Shariflou

University of Technology, Sydney

AUSTRALIA

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Kathryn Rose

University of Sydney

AUSTRALIA

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David Bishop

University of Sydney

AUSTRALIA

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Kristine McGrath

Senior Lecturer

University of Sydney

AUSTRALIA

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Mojtaba Golzan

Research Interests

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Contact this professor

Recent Grants

Articles (10)

Distribution of Copper, Iron, and Zinc in the Retina, Hippocampus, and Cortex of the Transgenic APP/PS1 Mouse Model of Alzheimer's Disease.

RAGE and its ligand amyloid beta promote retinal ganglion cell loss following ischemia-reperfusion injury

Insights from a Bibliometrics-Based Analysis of Publishing and Research Trends on Cerium Oxide from 1990 to 2020.

Systematic and Bibliometric Analysis of Magnetite Nanoparticles and Their Applications in (Biomedical) Research.

Cognitive Performance on the Montreal Cognitive Assessment Test and Retinal Structural and Functional Measures in Glaucoma

Impact of COVID-19 pandemic on ophthalmic presentations to an Australian outer metropolitan and rural emergency department: a retrospective comparative study.

A combined convolutional and recurrent neural network for enhanced glaucoma detection

SSP: Early prediction of sepsis using fully connected LSTM-CNN model.

Objective Quantification of Spontaneous Retinal Venous Pulsations Using a Novel Tablet-Based Ophthalmoscope.

Pressure Dependency of Retinal Arterial Pulse Wave Velocity in the Rat

Collaborators (5)

Olga Shimoni

Sahar Shariflou

Kathryn Rose

David Bishop

Kristine McGrath

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