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Quantifying radiographic knee osteoarthritis severity using deep convolutional neural networks.

, , , and . ICPR, page 1195-1200. IEEE, (2016)

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Least Squares Superposition Codes of Moderate Dictionary Size Are Reliable at Rates up to Capacity., and . IEEE Trans. Inf. Theory, 58 (5): 2541-2557 (2012)Gaussian Rate-Distortion via Sparse Regression over Compact Dictionaries, , and . CoRR, (2012)How important are faces for person re-identification?, , , and . ICPR, page 6912-6919. IEEE, (2020)Insight DCU at TRECVid 2015., , , , , , , , , and 2 other author(s). TRECVID, National Institute of Standards and Technology (NIST), (2015)Modelling the Runtime of the Gaussian Computational Chemistry Application and Assessing the Impacts of Microarchitectural Variations., , , , and . ICCS, volume 4 of Procedia Computer Science, page 281-291. Elsevier, (2011)Variable selection in high-dimension with random designs and orthogonal matching pursuit.. J. Mach. Learn. Res., 14 (1): 1771-1800 (2013)Fast Sparse Superposition Codes have Exponentially Small Error Probability for R < C, and . CoRR, (2012)Investigating Class-Level Difficulty Factors In Multi-Label Classification Problems., , , , , , , , and . ICME, page 1-6. IEEE, (2020)Automatic Detection of Knee Joints and Quantification of Knee Osteoarthritis Severity Using Convolutional Neural Networks., , , and . MLDM, volume 10358 of Lecture Notes in Computer Science, page 376-390. Springer, (2017)Toward fast reliable communication at rates near capacity with Gaussian noise., and . ISIT, page 315-319. IEEE, (2010)