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Development and clinical application of a deep learning model to identify acute infarct on magnetic resonance imaging

Scientific reports, 2022-02, Vol.12 (1), p.2154-2154, Article 2154

2022

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DTI-derived parameters differ between moderate and severe traumatic brain injury and its association with psychiatric scores

Neurological sciences, 2022-02, Vol.43 (2), p.1343-1350

2022

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A Deep Learning–based Model for Detecting Abnormalities on Brain MR Images for Triaging: Preliminary Results from a Multisite Experience

Radiology. Artificial intelligence, 2021-07, Vol.3 (4), p.e200184-e200184

2021

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Longitudinal assessment of magnetization transfer ratio, brain volume, and cognitive functions in diffuse axonal injury

Brain and behavior, 2022-03, Vol.12 (3), p.e2490-n/a

2022

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Dynamic changes in white matter following traumatic brain injury and how diffuse axonal injury relates to cognitive domain

Brain injury, 2021-02, Vol.35 (3), p.275-284

2021

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The new era of artificial intelligence in neuroradiology: current research and promising tools

Arquivos de neuro-psiquiatria, 2024-06, Vol.82 (6), p.1-12

2024

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Longitudinal whole-brain analysis of multi-subject diffusion data in diffuse axonal injury

Arquivos de neuro-psiquiatria, 2022-03, Vol.80 (3), p.280-288

2022

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Point-of-care AI-assisted stepwise ultrasound pneumothorax diagnosis

Physics in medicine & biology, 2023-10, Vol.68 (20), p.205013

2023

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Misconceptions in the health technology industry that are delaying the translation of artificial intelligence technology into relevant clinical applications

Radiologia brasileira, 2021-08, Vol.54 (4), p.243-245

Macruz, Fabíola

2021

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Viscoelasticity of children and adolescent brains through MR elastography

Journal of the mechanical behavior of biomedical materials, 2021-03, Vol.115, p.104229-104229, Article 104229

2021

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P4‐310: LOW‐DOSE AMYLOID PET RECONSTRUCTION USING A PRE‐TRAINED, MULTIMODAL DEEP LEARNING NETWORK

Alzheimer's & dementia, 2018-07, Vol.14 (7S_Part_30), p.P1574-P1575

2018

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LOW-DOSE AMYLOID PET RECONSTRUCTION USING A PRE-TRAINED, MULTIMODAL DEEP LEARNING NETWORK

Alzheimer's & dementia, 2018-07, Vol.14 (7), p.P1574-P1575

2018

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Quantification of the Thoracic Aorta and Detection of Aneurysm at CT: Development and Validation of a Fully Automatic Methodology

Radiology. Artificial intelligence, 2022-03, Vol.4 (2), p.e210076-e210076

2022

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Ultra-Low-Dose 18F-Florbetaben Amyloid PET Imaging Using Deep Learning with Multi-Contrast MRI Inputs

Radiology, 2020-09, Vol.296 (3), p.E195-E195

2020

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Ultra-Low-Dose 18 F-Florbetaben Amyloid PET Imaging Using Deep Learning with Multi-Contrast MRI Inputs

Radiology, 2020-09, Vol.296 (3), p.E195-E195

2020

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Ultra-Low-Dose 18 F-Florbetaben Amyloid PET Imaging Using Deep Learning with Multi-Contrast MRI Inputs

Radiology, 2019-03, Vol.290 (3), p.649

2019

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Longitudinal changes in brain volumetry and cognitive functions after moderate and severe diffuse axonal injury

Brain injury, 2018-01, Vol.32 (11), p.1413-1422

2018

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Longitudinal whole-brain analysis of multi-subject diffusion data in diffuse axonal injury

Arquivos de neuro-psiquiatria, 2022

2022

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Development and clinical application of a deep learning model to identify acute infarct on magnetic resonance imaging

DTI-derived parameters differ between moderate and severe traumatic brain injury and its association with psychiatric scores

A Deep Learning–based Model for Detecting Abnormalities on Brain MR Images for Triaging: Preliminary Results from a Multisite Experience

Longitudinal assessment of magnetization transfer ratio, brain volume, and cognitive functions in diffuse axonal injury

Dynamic changes in white matter following traumatic brain injury and how diffuse axonal injury relates to cognitive domain

The new era of artificial intelligence in neuroradiology: current research and promising tools

Longitudinal whole-brain analysis of multi-subject diffusion data in diffuse axonal injury

Point-of-care AI-assisted stepwise ultrasound pneumothorax diagnosis

Misconceptions in the health technology industry that are delaying the translation of artificial intelligence technology into relevant clinical applications

Viscoelasticity of children and adolescent brains through MR elastography

P4‐310: LOW‐DOSE AMYLOID PET RECONSTRUCTION USING A PRE‐TRAINED, MULTIMODAL DEEP LEARNING NETWORK

LOW-DOSE AMYLOID PET RECONSTRUCTION USING A PRE-TRAINED, MULTIMODAL DEEP LEARNING NETWORK

Quantification of the Thoracic Aorta and Detection of Aneurysm at CT: Development and Validation of a Fully Automatic Methodology

Ultra-Low-Dose 18F-Florbetaben Amyloid PET Imaging Using Deep Learning with Multi-Contrast MRI Inputs

Ultra-Low-Dose 18 F-Florbetaben Amyloid PET Imaging Using Deep Learning with Multi-Contrast MRI Inputs

Ultra-Low-Dose 18 F-Florbetaben Amyloid PET Imaging Using Deep Learning with Multi-Contrast MRI Inputs

Longitudinal changes in brain volumetry and cognitive functions after moderate and severe diffuse axonal injury

Longitudinal whole-brain analysis of multi-subject diffusion data in diffuse axonal injury

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