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Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data.

, , , , , , , и . CoRR, (2019)

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Другие публикации лиц с тем же именем

Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading From Plain Radiographs., , , и . IEEE Trans. Medical Imaging, 39 (12): 4346-4356 (2020)Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks., и . CoRR, (2019)Automated Detection of Patellofemoral Osteoarthritis from Knee Lateral View Radiographs Using Deep Learning: Data from the Multicenter Osteoarthritis Study (MOST)., , и . CoRR, (2021)Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography., , , , и . ACIVS, том 12002 из Lecture Notes in Computer Science, стр. 131-138. Springer, (2020)Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis., , , , и . CoRR, (2019)DeepProg: A Transformer-based Framework for Predicting Disease Prognosis., , , и . CoRR, (2021)A Stronger Baseline For Automatic Pfirrmann Grading Of Lumbar Spine MRI Using Deep Learning., , , , , , и . CoRR, (2022)Predicting Knee Osteoarthritis Progression from Structural MRI Using Deep Learning., , , и . ISBI, стр. 1-5. IEEE, (2022)Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach., , , , и . CoRR, (2017)Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting From Multimodal Data., , , и . IEEE Trans. Medical Imaging, 43 (1): 529-541 (января 2024)