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Navigation Neurocentre Magendie - U1215 par Auteur "YAMAMOTO, Takayuki"
Voici les éléments 1-6 de 6
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Validation of a Denoising Method Using Deep Learning-Based Reconstruction to Quantify Multiple Sclerosis Lesion Load on Fast FLAIR Imaging.
(American Journal of Neuroradiology. vol. 43, n° 8, pp. 1099-1106, 2022-07-28)Article de revueLibre accès
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Editorial comment: “Diffuse glioma, not otherwise specified: imaging-based risk stratification achieves histomolecular-level prognostication”
(European Radiology. vol. 32, n° 11, pp. 7778-7779, 2022-11)Article de revue -
Visualization of the saccule and utricle with non-contrast-enhanced FLAIR sequences
(European Radiology. vol. 32, n° 5, pp. 3532-3540, 2022-05)Article de revue -
Location-weighted versus Volume-weighted Mismatch at MRI for Response to Mechanical Thrombectomy in Acute Stroke
FUKUTOMI, Hikaru; YAMAMOTO, Takayuki; SIBON, Igor
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(Radiology. vol. 306, n° 2, 2023-02)Article de revueLibre accès
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Vulnerability of Thalamic Nuclei at CSF Interface During the Entire Course of Multiple Sclerosis
KOUBIYR, Ismail; YAMAMOTO, Takayuki; BLYAU, Simon ...
(Neurology Neuroimmunology & Neuroinflammation. vol. 11, n° 3, 2024-05)Article de revueLibre accès
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Quantitative MRI Biomarkers Measure Changes in Targeted Brain Areas in Patients With Obesity
(Journal of Clinical Endocrinology and Metabolism. vol. 109, n° 7, pp. 1850 – 1857, 2024-06-17)Article de revue