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An articulatory analysis of phonological transfer using real-time MRI., , , , , и . INTERSPEECH, стр. 700-703. ISCA, (2009)Automatic localization of anatomical landmarks in cardiac MR perfusion using random forests., , и . Biomed. Signal Process. Control., (2017)Dynamic 3-D MR Visualization and Detection of Upper Airway Obstruction During Sleep Using Region-Growing Segmentation., , , , и . IEEE Trans. Biomed. Eng., 63 (2): 431-437 (2016)Automatic myocardial segmentation in dynamic contrast enhanced perfusion MRI using Monte Carlo dropout in an encoder-decoder convolutional neural network., , и . Comput. Methods Programs Biomed., (2020)EVCMR: A tool for the quantitative evaluation and visualization of cardiac MRI data., , , , , и . Comput. Biol. Medicine, (2019)Evaluation of convolutional neural networks for the detection of inter-breath-hold motion from a stack of cardiac short axis slice images., и . BMC Medical Imaging, 23 (1): 113 (декабря 2023)Robust semi-automated quantification of cardiac MR perfusion using level set: Application to hypertrophic cardiomyopathy patient data., , и . Comput. Biol. Medicine, (2016)State-of-the-Art MRI Protocol for Comprehensive Assessment of Vocal Tract Structure and Function., , , , , , , , и . INTERSPEECH, стр. 475-479. ISCA, (2016)Database of Volumetric and Real-Time Vocal Tract MRI for Speech Science., , , , , , , , , и 2 other автор(ы). INTERSPEECH, стр. 645-649. ISCA, (2017)Evaluation of U-net segmentation models for infarct volume measurement in acute ischemic stroke: comparison with fixed ADC threshold-based methods., , , , , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10950 из SPIE Proceedings, стр. 109502D. SPIE, (2019)