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Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography.

, , , , и . CoRR, (2019)

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Aleksei Babich

Aleksei Fishkin

Aleksei Viktorovich Volkov

 

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Targeted Active Learning for Bayesian Decision-Making., , , , , и . CoRR, (2021)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)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)Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography., , , , и . CoRR, (2019)Breast Tumor Cellularity Assessment Using Deep Neural Networks., , , , , и . ICCV Workshops, стр. 371-380. IEEE, (2019)Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors., , , , и . CoRR, (2023)Deep Semi-Supervised Active Learning for Knee Osteoarthritis Severity Grading., , и . ISBI, стр. 1-5. IEEE, (2022)Bayesian Feature Pyramid Networks for Automatic Multi-label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio., , , , , и . ACIVS, том 12002 из Lecture Notes in Computer Science, стр. 117-130. Springer, (2020)A Stronger Baseline For Automatic Pfirrmann Grading Of Lumbar Spine Mri Using Deep Learning., , , , , , и . ISBI, стр. 1-5. IEEE, (2023)