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3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0.

, , , , , , , , , , , , , , , , , , and . Comput. Biol. Medicine, (2020)

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Robust Text Line, Word And Character Extraction from Telugu Document Image., , and . ICETET, page 269-272. IEEE Computer Society, (2009)A novel genetic algorithm-based approach for compression and acceleration of deep learning convolution neural network: an application in computer tomography lung cancer data., , , , , and . Neural Comput. Appl., 34 (23): 20915-20937 (2022)Two-stage hybrid binarization around fringe map based text line segmentation for document images., , , and . ICPR, page 343-346. IEEE Computer Society, (2012)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)A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework., , , , , , , and . Comput. Biol. Medicine, (2022)3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0., , , , , , , , , and 9 other author(s). Comput. Biol. Medicine, (2020)Fringe Map Based Text Line Segmentation of Printed Telugu Document Images., and . ICDAR, page 1294-1298. IEEE Computer Society, (2011)A Fast and Light Weight Deep Convolution Neural Network Model for Cancer Disease Identification in Human Lung(s)., , , and . ICMLA, page 1382-1387. IEEE, (2019)