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Image reconstruction under multiplicative speckle noise using total variation.

, and . Neurocomputing, (2015)

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Phase-locking factor in a motor imagery brain-computer interface., , and . EMBC, page 2877-2880. IEEE, (2012)Author Correction to: Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue Characterization., , , , , , , , and . J. Medical Systems, 42 (1): 18:1 (2018)A Multicenter Study on Carotid Ultrasound Plaque Tissue Characterization and Classification Using Six Deep Artificial Intelligence Models: A Stroke Application., , , , , , , , , and 2 other author(s). IEEE Trans. Instrum. Meas., (2021)Segmentation of Cell Nuclei in Fluorescence Microscopy Images Using Deep Learning., , and . IbPRIA (1), volume 11867 of Lecture Notes in Computer Science, page 53-64. Springer, (2019)Global and local detection of liver steatosis from ultrasound., , and . EMBC, page 6547-6550. IEEE, (2012)Error perception classification in Brain-Computer Interfaces using CNN., , and . EMBC, page 204-207. IEEE, (2021)Interphase Cell Cycle Staging using Deep Learning *., , , and . EMBC, page 1432-1435. IEEE, (2020)Image reconstruction under multiplicative speckle noise using total variation., and . Neurocomputing, (2015)The usefulness of ultrasound in the classification of chronic liver disease., , , , , and . EMBC, page 5132-5135. IEEE, (2011)An actigraphy heterogeneous mixture model for sleep assessment., , and . EMBC, page 2275-2278. IEEE, (2012)