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341
Susceptibility map-weighted MRI can distinguish tremor-dominant Parkinson’s disease from essential tremor
Published 2025-01-01“…Patients with PD exhibit loss of the dorsal nigral hyperintensity on brain magnetic resonance imaging (MRI). Novel MRI-based approaches, including susceptibility map-weighted imaging (SMwI), allow visualization of the dorsal nigral hyperintensity at an increased resolution. …”
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342
Transforming grayscale MRI images to color utilizing generative artificial intelligence to better understand multiple sclerosis
Published 2025-12-01“…Fundamental to the diagnosis and clinical surveillance is magnetic resonance imaging (MRI) that allows for the identification of T2-hyperintensities associated with autoimmune injury that demonstrate distinct spatial distribution patterns. …”
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343
Pathologic Findings in MRI-Guided Needle Core Biopsies of the Breast in Patients with Newly Diagnosed Breast Cancer
Published 2011-01-01“…The role of MRI in the management of breast carcinoma is rapidly evolving from its initial use for specific indications only to a more widespread use on all women with newly diagnosed early stage breast cancer. …”
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344
Haralick Texture Analysis for Differentiating Suspicious Prostate Lesions from Normal Tissue in Low-Field MRI
Published 2025-01-01Subjects: Get full text
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345
Effect of Acupuncture on Neuroplasticity of Stroke Patients with Motor Dysfunction: A Meta-Analysis of fMRI Studies
Published 2021-01-01“…We only included randomized controlled trials (RCTs) using resting-state fMRI to observe the effect of acupuncture on stroke patients with motor dysfunction. …”
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346
Association of player position and functional connectivity alterations in collegiate American football players: an fMRI study
Published 2025-01-01“…IntroductionResting state-fMRI, provides a sensitive method for detecting changes in brain functional integrity, both with respect to regional oxygenated blood flow and whole network connectivity. …”
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347
Altered Spontaneous Brain Activity of Children with Unilateral Amblyopia: A Resting State fMRI Study
Published 2019-01-01“…This study is aimed at investigating differences in local brain activity and functional connectivity (FC) between children with unilateral amblyopia and healthy controls (HCs) by using resting state functional magnetic resonance imaging (rs-fMRI). Methods. Local activity and FC analysis methods were used to explore the altered spontaneous brain activity of children with unilateral amblyopia. …”
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348
Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI
Published 2025-02-01“…Key Points Delineating small BMs on SPACE MRI sequence results in higher quality annotations than on MPRAGE sequence due to enhanced conspicuity. …”
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349
Analyzing the Efficacy of Computer-Aided Detection in Cerebral Aneurysm Diagnosis Using MRI Modality: A Review
Published 2025-01-01“…This article provides a comprehensive overview of the evolution of CAD models for aneurysm detection, with a particular focus on MRI modalities. It explores the motivations behind CAD systems, the methodologies employed, and their respective advantages and limitations, offering valuable insights into the current state-of-the-art (SOTA) CAD systems. …”
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350
An Attention-Based Residual U-Net for Tumour Segmentation Using Multi-Modal MRI Brain Images
Published 2025-01-01Subjects: “…MRI images…”
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351
Assessment of cardiac iron deposition and genotypic classification in pediatric beta-thalassemia major: the role of cardiac MRI
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352
Symptomatic vigabatrin‐associated MRI toxicity is associated with simultaneous hormonal therapy among patients with infantile spasms
Published 2025-02-01“…Abstract Vigabatrin‐associated brain abnormalities on MRI (VABAM) are observed in approximately 20% of children who receive vigabatrin for treatment of infantile epileptic spasms syndrome. …”
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353
3D Automatic Segmentation of Brain Tumor Based on Deep Neural Network and Multimodal MRI Images
Published 2022-01-01“…Due to the development of modern technology, it is very valuable to use deep learning (DL) and multimodal MRI images to study brain tumor segmentation. In order to solve the problems of low efficiency and low accuracy of brain tumor segmentation, this paper proposes DL to conduct research on multimodal MRI image segmentation, aiming to make accurate diagnosis and treatment for doctors. …”
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354
Integrating fMRI spatial network dynamics and EEG spectral power: insights into resting state connectivity
Published 2025-01-01Subjects: Get full text
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355
MRI to digital medicine diagnosis: integrating deep learning into clinical decision-making for lumbar degenerative diseases
Published 2025-01-01Subjects: “…MRI…”
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356
Tumor resting-state fMRI connectivity to extralesional brain is associated with cognitive performance in glioma patients
Published 2025-01-01Subjects: “…Resting-state fMRI…”
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357
MRI分子靶向示踪剂用于放射性脑损伤早期诊断的研究
Published 2014-01-01“…【目的】 探讨MRI分子靶向示踪剂细胞间粘附分子链接微米级氧化铁颗粒(ICAM-MPIO)对放射性脑损伤早期无创性诊断的能力及敏感性。…”
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358
Enhancing prostate cancer segmentation in bpMRI: Integrating zonal awareness into attention-guided U-Net
Published 2025-01-01“…Bi-parametric magnetic resonance imaging (bpMRI) is recognized as an essential diagnostic technique for PCa, providing shorter acquisition times and cost-effectiveness. …”
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359
Preconceptional brain structure and future conception: a prospective brain MRI study among 321 women
Published 2025-02-01“…Women intending to conceive within a year were recruited and structural brain MRI scans were collected from 321 participants between June 2019 and March 2021. …”
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360