Articles with "multimodal mri" as a keyword



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Reliability of multimodal MRI brain measures in youth at risk for mental illness

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Published in 2020 at "Brain and Behavior"

DOI: 10.1002/brb3.1609

Abstract: A new generation of large‐scale studies is using neuroimaging to investigate adolescent brain development across health and disease. However, imaging artifacts such as head motion remain a challenge and may be exacerbated in pediatric clinical… read more here.

Keywords: multimodal mri; risk mental; reliability multimodal; mental illness ... See more keywords

Assisted Parkinsonism Diagnosis Using Multimodal MRI—The Role of Clinical Insights

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Published in 2025 at "Brain and Behavior"

DOI: 10.1002/brb3.70274

Abstract: While automated methods for differential diagnosis of parkinsonian syndromes based on MRI imaging have been introduced, their implementation in clinical practice still underlies considerable challenges. read more here.

Keywords: diagnosis using; diagnosis; parkinsonism diagnosis; assisted parkinsonism ... See more keywords

Multimodal MRI assessment for first episode psychosis: A major change in the thalamus and an efficient stratification of a subgroup

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Published in 2020 at "Human Brain Mapping"

DOI: 10.1002/hbm.25276

Abstract: Multi‐institutional brain imaging studies have emerged to resolve conflicting results among individual studies. However, adjusting multiple variables at the technical and cohort levels is challenging. Therefore, it is important to explore approaches that provide meaningful… read more here.

Keywords: first episode; multimodal mri; assessment first; mri assessment ... See more keywords
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Radiomics Based on Multimodal MRI for the Differential Diagnosis of Benign and Malignant Breast Lesions

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Published in 2020 at "Journal of Magnetic Resonance Imaging"

DOI: 10.1002/jmri.27098

Abstract: MRI‐based radiomics has been used to diagnose breast lesions; however, little research combining quantitative pharmacokinetic parameters of dynamic contrast‐enhanced MRI (DCE‐MRI) and diffusion kurtosis imaging (DKI) exists. read more here.

Keywords: radiomics based; based multimodal; mri differential; breast ... See more keywords

Supervised Learning based Multimodal MRI Brain Tumour Segmentation using Texture Features from Supervoxels#

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Published in 2018 at "Computer methods and programs in biomedicine"

DOI: 10.1016/j.cmpb.2018.01.003

Abstract: BACKGROUND Accurate segmentation of brain tumour in magnetic resonance images (MRI) is a difficult task due to various tumour types. Using information and features from multimodal MRI including structural MRI and isotropic (p) and anisotropic… read more here.

Keywords: multimodal mri; segmentation; brain; brain tumour ... See more keywords

Multimodal MRI quantification of the common neurostructural bases within the FTD-ALS continuum

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Published in 2018 at "Neurobiology of Aging"

DOI: 10.1016/j.neurobiolaging.2017.09.019

Abstract: The continuum hypothesis linking the behavioral variant of frontotemporal dementia (bvFTD) and amyotrophic lateral sclerosis (ALS) is supported by clinical, pathological, genetic, and neuroimaging evidence. In the present multimodal magnetic resonance study, we characterized the… read more here.

Keywords: mri quantification; als continuum; multimodal mri; ftd als ... See more keywords

Alterations in miR-151a-3p of plasma-derived exosomes and associated multimodal neuroimaging patterns in major depressive disorder

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Published in 2025 at "Molecular Psychiatry"

DOI: 10.1038/s41380-025-03102-0

Abstract: Magnetic resonance imaging (MRI) has been recognized as a valuable tool for achieving ‘reification of clinical diagnosis’ of major depressive disorder (MDD). However, the reliability and validity of MRI results are often compromised by genetic,… read more here.

Keywords: mri; mir 151a; expression; mdd patients ... See more keywords

A multimodal MRI-based machine learning framework for classifying cognitive impairment in cerebral small vessel disease

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Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-97552-9

Abstract: The heterogeneity of cerebral small vessel disease (CSVD) with mild cognitive impairment (MCI) presents a challenge for diagnosis and classification. This study aims to propose a multimodal magnetic resonance imaging (MRI)-based machine learning framework to… read more here.

Keywords: based machine; machine; machine learning; mri based ... See more keywords

Multimodal MRI Volumetric Data Fusion With Convolutional Neural Networks

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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2022.3184360

Abstract: Medical image fusion aims to integrate the complementary information captured by images of different modalities into a more informative composite image. However, current study on medical image fusion suffers from several drawbacks: 1) existing methods… read more here.

Keywords: fusion; mri volumetric; multimodal mri; medical image ... See more keywords

Multimodal MRI-Based Radiomic Nomogram for the Early Differentiation of Recurrence and Pseudoprogression of High-Grade Glioma

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Published in 2022 at "BioMed Research International"

DOI: 10.1155/2022/4667117

Abstract: Objective To evaluate the diagnostic value of multimodal MRI radiomics based on T2-weighted fluid attenuated inversion recovery imaging (T2WI-FLAIR) combined with T1-weighted contrast enhanced imaging (T1WI-CE) in the early differentiation of high-grade glioma recurrence from… read more here.

Keywords: group; multimodal mri; recurrence pseudoprogression; model ... See more keywords

Multimodal MRI accurately identifies amyloid status in unbalanced cohorts in Alzheimer’s disease continuum

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Published in 2024 at "Network Neuroscience"

DOI: 10.1162/netn_a_00423

Abstract: Abstract Amyloid-β (Aβ) plaques in conjunction with hyperphosphorylated tau proteins in the form of neurofibrillary tangles are the two neuropathological hallmarks of Alzheimer’s disease. It is well-known that the identification of individuals with Aβ positivity… read more here.

Keywords: alzheimer disease; disease; status unbalanced; multimodal mri ... See more keywords