Showing 181 - 200 results of 2,147 for search '"MRI"', query time: 0.07s Refine Results
  1. 181

    Iron(III)–Quercetin Complex: In Vivo Acute Toxicity and Biodistribution of Novel MRI Agent by Innuan P, Kongkarnka S, Thongtharb A, Kantapan J, Dechsupa N

    Published 2025-01-01
    “…These properties make IronQ a promising candidate for safe and effective MRI contrast enhancement.Purpose: This study aims to further the development of IronQ as an MRI contrast agent by investigating its biodistribution, pharmacokinetics, and acute toxicity in a preclinical animal model.Methods: The relaxivity of IronQ was measured in water and whole blood phantoms. …”
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  2. 182

    Investigating time-independent and time-dependent diffusion phenomena using steady-state diffusion MRI by Benjamin C. Tendler

    Published 2025-01-01
    “…Abstract Diffusion MRI is a leading method to non-invasively characterise brain tissue microstructure across multiple domains and scales. …”
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  3. 183
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    Adversarial confound regression and uncertainty measurements to classify heterogeneous clinical MRI in Mass General Brigham. by Matthew Leming, Sudeshna Das, Hyungsoon Im

    Published 2023-01-01
    “…In this work, we introduce a novel deep learning architecture, MUCRAN (Multi-Confound Regression Adversarial Network), to train a deep learning model on clinical brain MRI while regressing demographic and technical confounding factors. …”
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  5. 185
  6. 186

    Local and Deep Features Based Convolutional Neural Network Frameworks for Brain MRI Anomaly Detection by Sajad Einy, Hasan Saygin, Hemrah Hivehch, Yahya Dorostkar Navaei

    Published 2022-01-01
    “…Extensive experiments conducted based on brain tumor in MRI image public access databases and achieves significant results compared to state-of-the-art algorithms. …”
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  7. 187

    In Vivo Magic Angle Magnetic Resonance Imaging for Cell Tracking in Equine Low-Field MRI by Carolin Horstmeier, Annette B. Ahrberg, Dagmar Berner, Janina Burk, Claudia Gittel, Aline Hillmann, Julia Offhaus, Walter Brehm

    Published 2019-01-01
    “…The magic angle effect increases the MRI signal of healthy tendon tissue and could be used for more detailed evaluation of tendon structure. …”
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  8. 188

    TOM500: A Multi-Organ Annotated Orbital MRI Dataset for Thyroid Eye Disease by Haiyang Zhang, Hoi Chi Chan, Jiashuo Xu, Mengda Jiang, Xiaofeng Tao, Huifang Zhou, Xuefei Song, Xianqun Fan

    Published 2025-01-01
    “…Abstract This study presents TOM500, a comprehensive multi-organ annotated orbital magnetic resonance imaging (MRI) dataset. It includes clinical data, T2-weighted MRI scans, and corresponding segmentations from 500 patients with thyroid eye disease (TED) during their initial visit. …”
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  9. 189

    High-Performance 3D Compressive Sensing MRI Reconstruction Using Many-Core Architectures by Daehyun Kim, Joshua Trzasko, Mikhail Smelyanskiy, Clifton Haider, Pradeep Dubey, Armando Manduca

    Published 2011-01-01
    “…Compressive sensing (CS) describes how sparse signals can be accurately reconstructed from many fewer samples than required by the Nyquist criterion. Since MRI scan duration is proportional to the number of acquired samples, CS has been gaining significant attention in MRI. …”
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  10. 190
  11. 191

    MRI-based hip cartilage measures in osteoarthritic and non-osteoarthritic individuals: a systematic review by Jacob L Jaremko, Hector N Aguilar, Michele C Battié

    Published 2017-03-01
    “…We performed a systematic review of MRI-based estimates of hip articular cartilage in the general population and in patients with established osteoarthritis, using MEDLINE, EMBASE and SCOPUS current to June 2016, with search terms such as ‘hip’, ‘femoral head’, ‘cartilage’, ‘volume’, ‘thickness’, ‘MRI’, etc. …”
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  12. 192

    Burkitt’s Lymphoma Presented as Advanced Ovarian Cancer without Evidence of Lymphadenopathy: CT and MRI Findings by Lucia Manganaro, Silvia Bernardo, Maria Eleonora Sergi, Paolo Sollazzo, Valeria Vinci, Alessandra De Grazia, Anna Clerico, Maria Giovanna Mollace, Matteo Saldari

    Published 2013-01-01
    “…In evaluating any ovarian neoplasm in a young woman, Burkitt's lymphoma should be considered as a possibility, particularly if associated with bone lesions. MRI is the most useful tool to characterize the ovarian lesions and suggest the diagnosis before the histopathological results.…”
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  13. 193

    T2*-weighted imaging for detection of intracranial silicone oil in MRI obtained with motion correction sequences by Ryuta Yasuda, Masayuki Maeda, Kenichi Takada, Katsuhiro Inoue, Masataka Sugao, Hidenori Suzuki

    Published 2025-02-01
    “…We report a case with intracranial silicone oil migration in which MRI was obtained with MultiVane XD and T2*-weighted imaging (T2*WI) was found the most useful in detecting intracranial silicone oil. …”
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  14. 194

    MRI Reconstruction with Separate Magnitude and Phase Priors Based on Dual-Tree Complex Wavelet Transform by Wei He, Linman Zhao

    Published 2022-01-01
    “…The methods of compressed sensing magnetic resonance imaging (CS-MRI) can be divided into two categories roughly based on the number of target variables. …”
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    Interventional real-time molecular MRI for targeting early myocardial injury in a pig model by Timo Heidt, Simon Reiss, Julien Thielmann, Christian Weber, Alexander Maier, Thomas Lottner, Heidi R. Cristina-Schmitz, Timon Bühler, Diana Chiang, Claus Jülicher, Carolin Wadle, Ingo Hilgendorf, Dennis Wolf, Gavin Tumlinson, Luis Hortells, Dirk Westermann, Michael Bock, Constantin von zur Mühlen

    Published 2025-02-01
    “…We used a closed-chest model of I/R by temporary coronary balloon-occlusion, real time 3T MRI-guided coronary injection of MPIO-based contrast agents, as well as injury, edema and iron-sensitive MRI. …”
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    Exploiting Interslice Correlation for MRI Prostate Image Segmentation, from Recursive Neural Networks Aspect by Qikui Zhu, Bo Du, Baris Turkbey, Peter Choyke, Pingkun Yan

    Published 2018-01-01
    “…Segmentation of the prostate from Magnetic Resonance Imaging (MRI) plays an important role in prostate cancer diagnosis. …”
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