Rui Bernardes

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Assistant Professor

University of Coimbra

Portugal

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About

Rui Bernardes is an Assistant Professor at the University of Coimbra, Portugal. His research primarily focuses on the early diagnosis of diabetic retinopathy using advanced optical coherence tomography analysis, as well as the computational modeling of neuronal responses in visual processing. Recent publications highlight his work on neurovascular coupling and retinal image analysis techniques.

Recent Grants

Grant: Close

Searching for a neurovascular coupling reflex pathway

Open Date: 2023-03-01

Close Date: 2024-08-01

Grant: Close

Efficient Simulation and Computation for Health, Sea and Industry.

Open Date: 2018-12-01

Close Date: 2021-12-01

Grant: Close

Optical Coherence Elastography for imaging retina mechanical properties.

Open Date: 2018-10-01

Close Date: 2021-09-01

Grant: Close

Non-invasive optical coherence tomography towards the imaging of the neurodegenerative disease: from the animal retina to the human brain.

Open Date: 2018-08-01

Close Date: 2021-07-01

Grant: Close

Novel multimodal imaging biomarkers of neuronal connectivity in Multiple Sclerosis.

Open Date: 2018-07-01

Close Date: 2021-06-01

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Collaborators (11)

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University of Coimbra

PORTUGAL

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Rui Bernardes

Research Interests

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About

Recent Grants

Articles (25)

Early retinal changes in type 2 diabetes detected by texture-based OCT analysis: potential approach for subclinical diabetic retinopathy diagnosis

Joint contribution of adaptation and neuronal population recruitment to response level in visual area MT: a computational model

Adaptive optics fundus images: Automatic vs manual vessel segmentation

Adaptive optics fundus images: Automatic vs manual vessel segmentation

Neurovascular coupling response: A follow‐up study

Neurovascular coupling response: A follow‐up study

Texture analysis of optical coherence tomography retinal images: Its potential use for the early diagnosis of diabetic retinopathy

Retinal OCT-Derived Texture Features as Potential Biomarkers for Early Diagnosis and Progression of Diabetic Retinopathy

The hemodynamic response function as a type 2 diabetes biomarker: a data-driven approach

Retinal OCT biomarkers and their association with cognitive function—clinical and AI approaches

Retinale optische Kohärenztomographie Biomarker und ihr Zusammenhang mit kognitiven Funktionen

Corrigendum: Normative mice retinal thickness: 16-month longitudinal characterization of wild-type mice and changes in a model of Alzheimer&#x27;s disease

Joint contribution of adaptation and neuronal population recruitment to response level in visual area MT: a computational model

Textural properties of microglial activation in Alzheimer’s disease as measured by (R)-[11C]PK11195 PET

Normative mice retinal thickness: 16-month longitudinal characterization of wild-type mice and changes in a model of Alzheimer's disease

Retinal imaging in animal models: Searching for biomarkers of neurodegeneration

Phase-Resolved Optical Coherence Elastography: An Insight into Tissue Displacement Estimation

When Sex Matters: Differences in the Central Nervous System as Imaged by OCT through the Retina

Subtractive adaptation is a more effective and general mechanism in binocular rivalry than divisive adaptation

Stage-independent biomarkers for Alzheimer’s disease from the living retina: an animal study

Retinal Aging in 3× Tg-AD Mice Model of Alzheimer's Disease

Texture Analysis and Its Applications in Biomedical Imaging: A Survey

A mathematical model for the corneal transparency problem

Intraocular implants loaded with A3R agonist rescue retinal ganglion cells from ischemic damage

Texture Analysis and Its Applications in Biomedical Imaging: A Survey

Collaborators (11)

Franziska G. Rauscher

Paulo Santos

José Paulo Domingues

António Miguel Morgado

Pedro Serranho

Paula Moreira

João Martins

Pedro Guimarães

Miguel Castelo-Branco

CARIDAD GALINDO-ROMERO

Carolina Moreno

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Corrigendum: Normative mice retinal thickness: 16-month longitudinal characterization of wild-type mice and changes in a model of Alzheimer's disease