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Seeing speech: Capturing vocal tract shaping using real-time magnetic resonance imaging Exploratory DSP.

, , , , and . IEEE Signal Process. Mag., 25 (3): 123-132 (2008)

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