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Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks.

, and . CoRR, (2019)

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Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading From Plain Radiographs., , , and . IEEE Trans. Medical Imaging, 39 (12): 4346-4356 (2020)Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks., and . CoRR, (2019)Targeted Active Learning for Bayesian Decision-Making., , , , , and . CoRR, (2021)Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography., , , , and . ACIVS, volume 12002 of Lecture Notes in Computer Science, page 131-138. Springer, (2020)Predicting Knee Osteoarthritis Progression from Structural MRI Using Deep Learning., , , and . ISBI, page 1-5. IEEE, (2022)A Stronger Baseline For Automatic Pfirrmann Grading Of Lumbar Spine MRI Using Deep Learning., , , , , , and . CoRR, (2022)On confidence intervals for precision matrices and the eigendecomposition of covariance matrices., , , and . CoRR, (2022)DeepProg: A Transformer-based Framework for Predicting Disease Prognosis., , , and . CoRR, (2021)Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis., , , , and . CoRR, (2019)DGC-Net: Dense Geometric Correspondence Network., , , , , and . WACV, page 1034-1042. IEEE, (2019)