Refaat E. Gabr
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View article: Detection of diffusely abnormal white matter in multiple sclerosis on multiparametric brain MRI using semi-supervised deep learning
Detection of diffusely abnormal white matter in multiple sclerosis on multiparametric brain MRI using semi-supervised deep learning Open
In addition to focal lesions, diffusely abnormal white matter (DAWM) is seen on brain MRI of multiple sclerosis (MS) patients and may represent early or distinct disease processes. The role of MRI-observed DAWM is understudied due to a lac…
View article: Repeat it without me: Crowdsourcing the T<sub>1</sub> mapping common ground via the ISMRM reproducibility challenge
Repeat it without me: Crowdsourcing the T<sub>1</sub> mapping common ground via the ISMRM reproducibility challenge Open
Purpose T 1 mapping is a widely used quantitative MRI technique, but its tissue‐specific values remain inconsistent across protocols, sites, and vendors. The ISMRM Reproducible Research and Quantitative MR study groups jointly launched a c…
View article: Artificial Intelligence Assistive Software Tool for Automated Detection and Quantification of Amyloid-Related Imaging Abnormalities
Artificial Intelligence Assistive Software Tool for Automated Detection and Quantification of Amyloid-Related Imaging Abnormalities Open
Importance Amyloid-related imaging abnormalities (ARIA) are brain magnetic resonance imaging (MRI) findings associated with the use of amyloid-β–directed monoclonal antibody therapies in Alzheimer disease (AD). ARIA monitoring is important…
View article: Paper is not enough: Crowdsourcing the T1 mappingcommon ground via the ISMRM reproducibility challenge
Paper is not enough: Crowdsourcing the T1 mappingcommon ground via the ISMRM reproducibility challenge Open
Boudreau et al., (2024). Paper is not enough: Crowdsourcing the T1 mapping common ground via the ISMRM reproducibility challenge. NeuroLibre Reproducible Preprints, 23, https://doi.org/10.55458/neurolibre.00023
View article: Results of the ISMRM 2020 joint Reproducible Research& Quantitative MR study groups reproducibility challenge on phantomand human brain T1 mapping
Results of the ISMRM 2020 joint Reproducible Research& Quantitative MR study groups reproducibility challenge on phantomand human brain T1 mapping Open
Boudreau et al., (2023). Results of the ISMRM 2020 joint Reproducible Research & Quantitative MR study groups reproducibility challenge on phantom and human brain T1 mapping. NeuroLibre Reproducible Preprints, 14, https://doi.org/10.55458/…
View article: Results of the ISMRM 2020 joint Reproducible Research & Quantitative MR study groups reproducibility challenge on phantom and human brain T<sub>1</sub> mapping
Results of the ISMRM 2020 joint Reproducible Research & Quantitative MR study groups reproducibility challenge on phantom and human brain T<sub>1</sub> mapping Open
This dataset includes both raw data and processed T1 maps obtained from the 2020 challenge on inversion recovery T1 mapping organized by the International Society in Magnetic Resonance in Medicine (ISMRM) Reproducible Research Study Group …
View article: Results of the ISMRM 2020 joint Reproducible Research & Quantitative MR study groups reproducibility challenge on phantom and human brain T<sub>1</sub> mapping
Results of the ISMRM 2020 joint Reproducible Research & Quantitative MR study groups reproducibility challenge on phantom and human brain T<sub>1</sub> mapping Open
This dataset includes both raw data and processed T1 maps obtained from the 2020 challenge on inversion recovery T1 mapping organized by the International Society in Magnetic Resonance in Medicine (ISMRM) Reproducible Research Study Group …
View article: Identifying the white matter pathways involved in multiple sclerosis-related tremor using diffusion tensor imaging
Identifying the white matter pathways involved in multiple sclerosis-related tremor using diffusion tensor imaging Open
Background Tremor affects up to 45% of patients with Multiple Sclerosis (PwMS). Current understanding is based on insights from other neurological disorders, thus, not fully addressing the distinctive aspects of MS pathology. Objective To …
View article: Functional assessment of the dural lymphatic vessels using dynamic contrast MRI in multiple sclerosis
Functional assessment of the dural lymphatic vessels using dynamic contrast MRI in multiple sclerosis Open
Background and purpose The discovery of glymphatic function in the human brain has generated interest in waste clearance mechanisms in neurological disorders such as multiple sclerosis (MS). However, noninvasive in vivo functional assessme…
View article: Characterizing the time course of cerebrovascular reactivity in multiple sclerosis
Characterizing the time course of cerebrovascular reactivity in multiple sclerosis Open
Background and Purpose Changes in cerebral perfusion occur early in relapsing and progressive multiple sclerosis (MS) patients, though whether cerebral blood flow (CBF) can be altered by therapy is unknown. We sought to characterize the ti…
View article: Sensitive Detection of Infratentorial and Upper Cervical Cord Lesions in Multiple Sclerosis with Combined 3D FLAIR and T2-Weighted (FLAIR3) Imaging
Sensitive Detection of Infratentorial and Upper Cervical Cord Lesions in Multiple Sclerosis with Combined 3D FLAIR and T2-Weighted (FLAIR3) Imaging Open
FLAIR3 provides higher sensitivity than T2-FLAIR for the detection of MS lesions in infratentorial brain parenchyma and the upper cervical cord.
View article: Indentation and Transverse Diameter of the Meckel Cave: Imaging Markers to Diagnose Idiopathic Intracranial Hypertension
Indentation and Transverse Diameter of the Meckel Cave: Imaging Markers to Diagnose Idiopathic Intracranial Hypertension Open
Our results confirm for the first time that the shape and size of the Meckel cave can be used as sensitive and specific diagnostic imaging markers for the diagnosis of idiopathic intracranial hypertension.
View article: Three-Dimensional UTE MR Imaging: Twelve-Month Analysis of ACL Autograft Remodeling
Three-Dimensional UTE MR Imaging: Twelve-Month Analysis of ACL Autograft Remodeling Open
Objectives: Post-reconstruction imaging of the anterior cruciate ligament (ACL) is needed to non-invasively assess in vivo graft maturity before release to play. The purpose of this study was to evaluate autograft remodeling up to 12 month…
View article: Deep learning segmentation of gadolinium-enhancing lesions in multiple sclerosis
Deep learning segmentation of gadolinium-enhancing lesions in multiple sclerosis Open
Objective: The aim of this study is to assess the performance of deep learning convolutional neural networks (CNNs) in segmenting gadolinium-enhancing lesions using a large cohort of multiple sclerosis (MS) patients. Methods: A three-dimen…
View article: Deep Learning for Predicting Enhancing Lesions in Multiple Sclerosis from Noncontrast MRI
Deep Learning for Predicting Enhancing Lesions in Multiple Sclerosis from Noncontrast MRI Open
Background Enhancing lesions on MRI scans obtained after contrast material administration are commonly thought to represent disease activity in multiple sclerosis (MS); it is desirable to develop methods that can predict enhancing lesions …
View article: Deep‐Learning‐Based Neural Tissue Segmentation of MRI in Multiple Sclerosis: Effect of Training Set Size
Deep‐Learning‐Based Neural Tissue Segmentation of MRI in Multiple Sclerosis: Effect of Training Set Size Open
Background The dependence of deep‐learning (DL)‐based segmentation accuracy of brain MRI on the training size is not known. Purpose To determine the required training size for a desired accuracy in brain MRI segmentation in multiple sclero…
View article: Relationship of Physical Frailty to Phosphocreatine Recovery in Muscle after Mild Exercise Stress in the Oldest-Old Women
Relationship of Physical Frailty to Phosphocreatine Recovery in Muscle after Mild Exercise Stress in the Oldest-Old Women Open
Impaired muscle energetics and energy metabolism might be implicated in the physical frailty syndrome.
View article: Serial Metabolic Evaluation of Perihematomal Tissues in the Intracerebral Hemorrhage Pig Model
Serial Metabolic Evaluation of Perihematomal Tissues in the Intracerebral Hemorrhage Pig Model Open
This study highlights the potential of MRS to probe salvageable tissues within the perihematoma in the sub-acute phase of ICH. Altered metabolites within the PHE and ATNE regions in addition to edema and hematoma volumes were explored as p…
View article: Brain and lesion segmentation in multiple sclerosis using fully convolutional neural networks: A large-scale study
Brain and lesion segmentation in multiple sclerosis using fully convolutional neural networks: A large-scale study Open
Objective: To investigate the performance of deep learning (DL) based on fully convolutional neural network (FCNN) in segmenting brain tissues in a large cohort of multiple sclerosis (MS) patients. Methods: We developed a FCNN model to seg…
View article: Ongoing Secondary Degeneration of the Limbic System in Patients With Ischemic Stroke: A Longitudinal MRI Study
Ongoing Secondary Degeneration of the Limbic System in Patients With Ischemic Stroke: A Longitudinal MRI Study Open
Purpose: Ongoing post-stroke structural degeneration and neuronal loss preceding neuropsychological symptoms such as cognitive decline and depression are poorly understood. Various substructures of the limbic system have been linked to cog…
View article: Automated image quality evaluation of structural brain MRI using an ensemble of deep learning networks
Automated image quality evaluation of structural brain MRI using an ensemble of deep learning networks Open
Background Deep learning (DL) is a promising methodology for automatic detection of abnormalities in brain MRI. Purpose To automatically evaluate the quality of multicenter structural brain MRI images using an ensemble DL model based on de…
View article: Serial Cerebral Metabolic Changes in Patients With Ischemic Stroke Treated With Autologous Bone Marrow Derived Mononuclear Cells
Serial Cerebral Metabolic Changes in Patients With Ischemic Stroke Treated With Autologous Bone Marrow Derived Mononuclear Cells Open
Purpose: Cell-based therapy offers new opportunities for the development of novel treatments to promote tissue repair, functional restoration, and cerebral metabolic balance. N-acetylasperate (NAA), Choline (Cho), and Creatine (Cr) are thr…
View article: Automated Image Quality Evaluation of Structural Brain Magnetic Resonance Images using Deep Convolutional Neural Networks
Automated Image Quality Evaluation of Structural Brain Magnetic Resonance Images using Deep Convolutional Neural Networks Open
Automated evaluation of image quality is essential to assure accurate diagnosis and effective patient management. This is particularly important for multi-center studies, typically employed in clinical trials, in which the data are acquire…
View article: Prospective in silico study of the feasibility and dosimetric advantages of MRI-guided dose adaptation for human papillomavirus positive oropharyngeal cancer patients compared with standard IMRT
Prospective in silico study of the feasibility and dosimetric advantages of MRI-guided dose adaptation for human papillomavirus positive oropharyngeal cancer patients compared with standard IMRT Open
These in silico results showed that the proposed MRI-guided adaptive approach is technically feasible and advantageous in reducing dose to OARs, especially swallowing musculature.
View article: Serial quantitative neuroimaging of iron in the intracerebral hemorrhage pig model
Serial quantitative neuroimaging of iron in the intracerebral hemorrhage pig model Open
Iron released after intracerebral hemorrhage (ICH) is damaging to the brain. Measurement of the content and distribution of iron in the hematoma could predict brain damage. In this study, 16 Yorkshire piglets were subjected to autologous b…
View article: Platform for Automated Real-Time High Performance Analytics on Medical Image Data
Platform for Automated Real-Time High Performance Analytics on Medical Image Data Open
Biomedical data are quickly growing in volume and in variety, providing clinicians an opportunity for better clinical decision support. Here, we demonstrate a robust platform that uses software automation and high performance computing (HP…