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ACU2E-Net: A novel predict-refine attention network for segmentation of soft-tissue structures in ultrasound images., , , , , , , , , и . Comput. Biol. Medicine, (мая 2023)Toward automated classification of acetabular shape in ultrasound for diagnosis of DDH: Contour alpha angle and the rounding index., , , , и . Comput. Methods Programs Biomed., (2016)Automatic Assessment Of Hip Effusion From MRI., , , , , , и . EMBC, стр. 3044-3048. IEEE, (2021)MRI Knee Domain Translation for Unsupervised Segmentation By CycleGAN (data from Osteoarthritis initiative (OAI))., , , , и . EMBC, стр. 4052-4055. IEEE, (2021)Dynamic MRI reconstruction using low rank plus sparse tensor decomposition., , , и . ICIP, стр. 1769-1773. IEEE, (2016)Weakly Supervised Medical Image Segmentation with Soft Labels and Noise Robust Loss., , , , , , и . ICPR Workshops (2), том 13644 из Lecture Notes in Computer Science, стр. 603-617. Springer, (2022)Wrist Ultrasound Segmentation by Deep Learning., , , , и . AIME, том 13263 из Lecture Notes in Computer Science, стр. 230-237. Springer, (2022)Domain Specific Transporter Framework to Detect Fractures in Ultrasound., , , , , и . CoRR, (2021)RL Based Unsupervised Video Summarization Framework for Ultrasound Imaging., , , , , , , , и . ASMUS@MICCAI, том 13565 из Lecture Notes in Computer Science, стр. 23-33. Springer, (2022)Fully Automating Graf's Method for DDH Diagnosis Using Deep Convolutional Neural Networks., , , , и . LABELS/DLMIA@MICCAI, том 10008 из Lecture Notes in Computer Science, стр. 130-141. (2016)