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ACU2E-Net: A novel predict-refine attention network for segmentation of soft-tissue structures in ultrasound images., , , , , , , , , and . Comput. Biol. Medicine, (May 2023)Toward automated classification of acetabular shape in ultrasound for diagnosis of DDH: Contour alpha angle and the rounding index., , , , and . Comput. Methods Programs Biomed., (2016)MRI Knee Domain Translation for Unsupervised Segmentation By CycleGAN (data from Osteoarthritis initiative (OAI))., , , , and . EMBC, page 4052-4055. IEEE, (2021)Automatic Assessment Of Hip Effusion From MRI., , , , , , and . EMBC, page 3044-3048. IEEE, (2021)Improved-Mask R-CNN: Towards an Accurate Generic MSK MRI instance segmentation platform (Data from the Osteoarthritis Initiative)., , , , and . CoRR, (2021)Canadian Association of Radiologists White Paper on De-Identification of Medical Imaging: Part 1, General Principles, , , , , , , , , and 5 other author(s). Canadian Association of Radiologists Journal, 72 (1): 13--24 (November 2020)TUN-Det: A Novel Network for Thyroid Ultrasound Nodule Detection., , , , , , , , , and . MICCAI (1), volume 12901 of Lecture Notes in Computer Science, page 656-667. Springer, (2021)(Semi)automatic construction of access-controlled web data services., , , and . CASCON, page 72-80. ACM, (2018)Thyroid Nodule Segmentation and Classification Using Deep Convolutional Neural Network and Rule-based Classifiers., , , , , , , , and . EMBC, page 3118-3121. IEEE, (2021)Dynamic MRI reconstruction using low rank plus sparse tensor decomposition., , , and . ICIP, page 1769-1773. IEEE, (2016)