Emma Biondetti

Assistant Professor (Tenure Track)

University “G. d’Annunzio” of Chieti-Pescara

Italy

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About

Emma Biondetti is an Assistant Professor (Tenure Track) at Università degli Studi "G. d'Annunzio" Chieti-Pescara in Italy. Her research focuses on advanced imaging techniques such as MRI and PET, with recent work addressing quantitative myelin imaging, BOLD fMRI methodologies, and mapping of cerebral metabolic rates. In addition, she explores the neuroimaging characteristics of Parkinson's disease and the application of quantitative MR methods in clinical settings.

Articles (10)

Year:

2024

Year:

2023

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2022

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2022

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2022

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2021

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2021

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2021

Year:

2021

Year:

2020

Collaborators (8)

Yuriko Suzuki

University of Oxford

UNITED KINGDOM

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Johann Faouzi

Assistant Professor

FRANCE

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Antonio Maria Chiarelli

Assistant Professor

Università degli Studi Gabriele d'Annunzio Chieti e Pescara

ITALY

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Xavier Golay

University College London

UNITED KINGDOM

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Michael Germuska

Senior Lecturer

Cardiff University

UNITED KINGDOM

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Sebastian Weingärtner

Delft University of Technology

NETHERLANDS

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Rahul Gaurav

FRANCE

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Erik de Vries

full professor

Universitair Medisch Centrum Utrecht

NETHERLANDS

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Emma Biondetti

Research Interests

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About

Articles (10)

Breath-hold BOLD fMRI without CO2 sampling enables estimation of venous cerebral blood volume: potential use in normalization of stimulus-evoked BOLD fMRI data

Quantitative myelin imaging with MRI and PET

A flow-diffusion model of oxygen transport for quantitative mapping of cerebral metabolic rate of oxygen (CMRO2) with single gas calibrated fMRI

Development, validation, qualification, and dissemination of quantitative MR methods: Overview and recommendations by the ISMRM quantitative MR study group

Multi‐echo quantitative susceptibility mapping: how to combine echoes for accuracy and precision at 3 Tesla

The spatiotemporal changes in dopamine, neuromelanin and iron characterizing Parkinson’s disease

Longitudinal Changes in Neuromelanin MRI Signal in Parkinson's Disease: A Progression Marker

Automated Categorization of Parkinsonian Syndromes Using Magnetic Resonance Imaging in a Clinical Setting

Planning of gamma knife radiosurgery (GKR) for brain arteriovenous malformations using triple magnetic resonance angiography (triple-MRA).

Investigating the accuracy and precision of TE‐dependent versus multi‐echo QSM using Laplacian‐based methods at 3 T

Collaborators (8)

Yuriko Suzuki

Johann Faouzi

Antonio Maria Chiarelli

Xavier Golay

Michael Germuska

Sebastian Weingärtner

Rahul Gaurav

Erik de Vries

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