Passive Posterior Tibial Subluxation on Routine Knee MRI as a Secondary Sign of PCL Tear by Andrew J. Degnan, Catherine Maldjian, Richard J. Adam, Christopher D. Harner

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Robust and Unbiased Variance of GLM Coefficients for Misspecified Autocorrelation and Hemodynamic Response Models in fMRI by Lourens Waldorp

“…Robust estimation of the variance of the general linear model (GLM) coefficients in fMRI time series is therefore essential. In this paper an alternative method to estimate the variance of the GLM coefficients accurately is suggested and compared to other methods. …”
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DIAGNOSTIC ACCURACY OF CONTRAST–ENHANCED HIGHRESOLUTION MAGNETIC RESONANCE IMAGING (MRI) FORTHE DETECTION OF RETINOBLASTOMA by Muhammad Faisal

“…Ziauddin Hospital, Karachi from 2011 to 2013. MRI orbit (Brain), using MRI field strength 1.5-T system head coil combined with one or two small surface coils. …”
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Stochastic variational inference improves quantification of multiple timepoint arterial spin labelling perfusion MRI by Thomas F. Kirk, Thomas F. Kirk, Georgia G. Kenyon, Georgia G. Kenyon, Martin S. Craig, Martin S. Craig, Michael A. Chappell, Michael A. Chappell

Subjects: “…arterial spin label (ASL) MRI…”
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Staging of esophageal cancer using PET/MRI: a systematic review with head-to-head comparison by Alisa Mohebbi, Saeed Mohammadzadeh, Zahra Moradi, Afshin Mohammadi, Hossein Poustchi, Seyed Mohammad Tavangar

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Distribution of spinal damage in patients with axial spondyloarthritis as assessed by MRI: a prospective and blinded study by Andreas Haidmayer, Gabriel Adelsmayr, Christopher Spreizer, Eva Valentina Klocker, Franz Quehenberger, Michael Fuchsjaeger, Jens Thiel, Josef Hermann

Subjects: “…Magnetic resonance imaging (MRI)…”
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Diffusion MRI-based analysis of functional alterations of the glymphatic system in children with non-lesional epilepsy by Bixia Wu, Gengbiao Zhang, Yanting Wang, Hongyi Zheng, Hui Tan, Wenbin Zheng

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Information Geometry and Manifold Learning: A Novel Framework for Analyzing Alzheimer’s Disease MRI Data by Ömer Akgüller, Mehmet Ali Balcı, Gabriela Cioca

“…<b>Methods</b>: We applied information geometry and manifold learning to analyze grayscale MRI scans classified into No Impairment, Very Mild, Mild, and Moderate Impairment. …”
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Clinical Observation on Orbital Teratoma of Delleman Syndrome Diagnosed by Fetal MRI Without Cutaneous Manifestations by Dewi Asih, Utami Purbasari, Gatot Abdurrazak, Audrina Ernes, Yang Pan, Jue Li

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Relationship Between Bi-Caudate Ratio and White Matter Atrophy in Brain MRI of Multiple Sclerosis by Hussein Soleimantabar, Shno Hosseini

“…Brain magnetic resonance imaging (MRI) is critical to determine the prognosis of MS. …”
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Periapical bone edema volume in 3D MRI is positively correlated with bone architecture changes by Alexander W. Marka, Monika Probst, Tobias Greve, Nicolas Lenhart, Niklas Graf, Florian Probst, Gustav Andreisek, Thomas Frauenfelder, Matthias Folwaczny, Egon Burian

“…MRI detected bone edema in 23 radiolucent lesions on OPT. …”
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Can ChatGPT4-vision identify radiologic progression of multiple sclerosis on brain MRI? by Brendan S. Kelly, Sophie Duignan, Prateek Mathur, Henry Dillon, Edward H. Lee, Kristen W. Yeom, Pearse A. Keane, Aonghus Lawlor, Ronan P. Killeen

“…We aimed to compare the performance of GPT4V to pretrained U-Net and vision transformer (ViT) models for the identification of the progression of multiple sclerosis (MS) on magnetic resonance imaging (MRI). Methods Paired coregistered MR images with and without progression were provided as input to ChatGPT4V in a zero-shot experiment to identify radiologic progression. …”
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Automatic skull segmentation of MRI volume, a deep learning model trained on synthetic data by Romain Valabregue, Mélanie Didier, Mathieu Santin, Éric Bardinet, Victor Giolland, Antoine Balzeau

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Arterial Spin Labeling (ASL) fMRI: Advantages, Theoretical Constrains and Experimental Challenges in Neurosciences by Ajna Borogovac, Iris Asllani

“…Arterial spin labeling (ASL) is a noninvasive fMRI technique that uses arterial water as an endogenous tracer to measure CBF. …”
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Enhancing Brain Tumor Detection: A Comparative Study of CNN Architectures Using MRI Data by Zhu Zhimeng

“…To address these issues, this study introduces VGG19-Brain’s MRI for Tumor (BMT), an enhanced version of the classic VGG19 model. …”
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Super High Contrast USPIO-Enhanced Cerebrovascular Angiography Using Ultrashort Time-to-Echo MRI by Liam Timms, Tianyi Zhou, Ju Qiao, Codi Gharagouzloo, Vishala Mishra, Rita Maria Lahoud, John W. Chen, Mukesh Harisinghani, Srinivas Sridhar

“…However, its potent T2∗ relaxivity limits achievable T1-weighted positive contrast and leads to artifacts in standard MRI protocols. Optimization of protocols for ferumoxytol deployment is necessary to realize its potential. …”
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Superparamagnetic Bifunctional Bisphosphonates Nanoparticles: A Potential MRI Contrast Agent for Osteoporosis Therapy and Diagnostic by Y. Lalatonne, M. Monteil, H. Jouni, J. M. Serfaty, O. Sainte-Catherine, N. Lièvre, S. Kusmia, P. Weinmann, M. Lecouvey, L. Motte

“…The as-synthesized nanoparticles were evaluated as a specific MRI contrast agent by adsorption study onto hydroxyapatite and MRI measurment. …”
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A Longitudinal fMRI Research on Neural Plasticity and Sensory Outcome of Carpal Tunnel Syndrome by Hao Ma, Yechen Lu, Xuyun Hua, Yundong Shen, Mouxiong Zheng, Wendong Xu

“…This result implied a potential connection between fMRI measurement and clinical improvement.…”
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Interpretable machine learning and radiomics in hip MRI diagnostics: comparing ONFH and OA predictions to experts by Tariq Alkhatatbeh, Ahmad Alkhatatbeh, Qin Guo, Jiechen Chen, Jidong Song, Xingru Qin, Wang Wei

“…This study aimed to construct and evaluate several Radiomics-based machine learning models using MRI to differentiate between those two disorders and compare their efficacies to those of medical experts.Methods140 MRI scans were retrospectively collected from the electronic medical records. …”
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Perceptions and practices of imaging personnel and physicians regarding the use of brain MRI for dementia diagnosis in Uganda. by Rita Nassanga, Noeline Nakasujja, Mark Kaddumukasa, Stephen E Jones, Martha Sajatovic, Michael Grace Kawooya

“…<h4>Results</h4>The study revealed three key themes: Brain MRI Practices for Diagnosing Dementia, Facilitators of Appropriate MRI Use, and Barriers to Appropriate Use of Brain MRI. …”
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