Related references
Note: Only part of the references are listed.Learning-based motion artifact removal networks for quantitative R2*mapping
Xiaojian Xu et al.
MAGNETIC RESONANCE IN MEDICINE (2022)
Tissue damage detected by quantitative gradient echo MRI correlates with clinical progression in non-relapsing progressive MS
Biao Xiang et al.
MULTIPLE SCLEROSIS JOURNAL (2022)
The Role of the Human Brain Neuron-Glia-Synapse Composition in Forming Resting-State Functional Connectivity Networks
Sayan Kahali et al.
BRAIN SCIENCES (2021)
Decoding the microstructural properties of white matter using realistic models
Renaud Hedouin et al.
NEUROIMAGE (2021)
In vivo evaluation of heme and non-heme iron content and neuronal density in human basal ganglia
Dmitriy A. Yablonskiy et al.
NEUROIMAGE (2021)
Deep learning using a biophysical model for robust and accelerated reconstruction of quantitative, artifact-free and denoisedR2*images
Max Torop et al.
MAGNETIC RESONANCE IN MEDICINE (2020)
Single scan quantitative gradient recalled echo MRI for evaluation of tissue damage in lesions and normal appearing gray and white matter in multiple sclerosis
Biao Xiang et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2019)
A Novel Gradient Echo Plural Contrast Imaging Method Detects Brain Tissue Abnormalities in Patients With TBI Without Evident Anatomical Changes on Clinical MRI: A Pilot Study
Serguei V. Astafiev et al.
MILITARY MEDICINE (2019)
Using an artificial neural network for fast mapping of the oxygen extraction fraction with combined QSM and quantitative BOLD
Simon Hubertus et al.
MAGNETIC RESONANCE IN MEDICINE (2019)
Phase-sensitive B1 mapping: Effects of relaxation and RF spoiling
Jie Wen et al.
MAGNETIC RESONANCE IN MEDICINE (2018)
Oxygen extraction fraction mapping at 3 Tesla using an artificial neural network: A feasibility study
Sebastian Domsch et al.
MAGNETIC RESONANCE IN MEDICINE (2018)
Deep learning with domain adaptation for accelerated projection-reconstruction MR
Yoseob Han et al.
MAGNETIC RESONANCE IN MEDICINE (2018)
Genetically defined cellular correlates of the baseline brain MRI signal
Jie Wen et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2018)
Simultaneous Multi-Angular Relaxometry of Tissue With MRI (SMART MRI): Theoretical Background and Proof of Concept
Alexander L. Sukstanskii et al.
MAGNETIC RESONANCE IN MEDICINE (2017)
In vivo detection of microstructural correlates of brain pathology in preclinical and early Alzheimer Disease with magnetic resonance imaging
Yue Zhao et al.
NEUROIMAGE (2017)
Separation of Cellular and BOLD Contributions to T2* Signal Relaxation
Xialing Ulrich et al.
MAGNETIC RESONANCE IN MEDICINE (2016)
On the relationship between cellular and hemodynamic properties of the human brain cortex throughout adult lifespan
Yue Zhao et al.
NEUROIMAGE (2016)
Subcomponents of brain T2* relaxation in schizophrenia, bipolar disorder and siblings: A Gradient Echo Plural Contrast Imaging (GEPCI) study
Daniel Mamah et al.
SCHIZOPHRENIA RESEARCH (2015)
On the Role of Physiological Fluctuations in Quantitative Gradient Echo MRI: Implications for GEPCI, QSM, and SWI
Jie Wen et al.
MAGNETIC RESONANCE IN MEDICINE (2015)
Optimization Strategies for Evaluation of Brain Hemodynamic Parameters with qBOLD Technique
Xiaoqi Wang et al.
MAGNETIC RESONANCE IN MEDICINE (2013)
Voxel Spread Function Method for Correction of Magnetic Field Inhomogeneity Effects in Quantitative Gradient-Echo-Based MRI
Dmitriy A. Yablonskiy et al.
MAGNETIC RESONANCE IN MEDICINE (2013)
Blood oxygenation level-dependent (BOLD)-based techniques for the quantification of brain hemodynamic and metabolic properties - theoretical models and experimental approaches
Dmitriy A. Yablonskiy et al.
NMR IN BIOMEDICINE (2013)
Gradient Echo Plural Contrast Imaging - Signal model and derived contrasts: T2*, T1, Phase, SWI, T1f, FST2*and T2*-SWI
Jie Luo et al.
NEUROIMAGE (2012)
Spatial correlation between brain aerobic glycolysis and amyloid-β (Aβ) deposition
Andrei G. Vlassenko et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2010)
Quantitative BOLD: Mapping of human cerebral deoxygenated blood volume and oxygen extraction fraction: Default state
Xiang He et al.
MAGNETIC RESONANCE IN MEDICINE (2007)
Neurovascular regulation in the normal brain and in Alzheimer's disease
C Iadecola
NATURE REVIEWS NEUROSCIENCE (2004)
Image quality assessment: From error visibility to structural similarity
Z Wang et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2004)
Variability of cerebral blood volume and oxygen extraction: stages of cerebral haemodynamic impairment revisited
CP Derdeyn et al.
BRAIN (2002)
Water proton MR properties of human blood at 1.5 Tesla:: Magnetic susceptibility, T1, T2, T2* and non-Lorentzian signal behavior
WM Spees et al.
MAGNETIC RESONANCE IN MEDICINE (2001)