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Machine Learning Based Texture Analysis of Patella from X-Rays for Detecting Patellofemoral Osteoarthritis.

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Unsupervised denoising for sparse multi-spectral computed tomography., , , , and . CoRR, (2022)Framework for Photon Counting Quantitative Material Decomposition., , , , , , and . IEEE Trans. Medical Imaging, 39 (1): 35-47 (2020)Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis., , , , and . CoRR, (2019)Predicting Knee Osteoarthritis Progression from Structural MRI Using Deep Learning., , , and . ISBI, page 1-5. IEEE, (2022)MammogramAnnotationTool: Markup tool for breast tissue abnormality annotation., , , , and . Softw. Impacts, (2024)Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation., , , , and . ICCV Workshops, page 450-459. IEEE, (2019)Local Binary Patterns to Evaluate Trabecular Bone Structure from Micro-CT Data: Application to Studies of Human Osteoarthritis., , , , , , and . ECCV Workshops (2), volume 8926 of Lecture Notes in Computer Science, page 63-79. Springer, (2014)Computed Tomography Artefact Detection Using Deep Learning - Towards Automated Quality Assurance., , , , and . NCDHWS (2), volume 2084 of Communications in Computer and Information Science, page 17-28. Springer, (2024)Machine Learning Based Texture Analysis of Patella from X-Rays for Detecting Patellofemoral Osteoarthritis., , and . CoRR, (2021)A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for Radiological Osteoarthritis Detection., , and . MIUA, volume 1248 of Communications in Computer and Information Science, page 331-345. Springer, (2020)