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Efficient Catheter Segmentation in 3D Cardiac Ultrasound using Slice-Based FCN With Deep Supervision and F-Score Loss., , , and . ICIP, page 260-264. IEEE, (2019)Medical Instrument Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning., , , , , and . CoRR, (2021)Weakly-supervised learning for catheter segmentation in 3D frustum ultrasound., , , and . Comput. Medical Imaging Graph., (2022)Automated Catheter Localization in Volumetric Ultrasound Using 3D Patch-Wise U-Net with Focal Loss., , , and . ICIP, page 1346-1350. IEEE, (2019)Deep Q-Network-Driven Catheter Segmentation in 3D US by Hybrid Constrained Semi-supervised Learning and Dual-UNet., , , and . MICCAI (1), volume 12261 of Lecture Notes in Computer Science, page 646-655. Springer, (2020)Feasibility study of catheter segmentation in 3D Frustum ultrasounds by DCNN., , , , and . Medical Imaging: Image-Guided Procedures, volume 11315 of SPIE Proceedings, page 1131521. SPIE, (2020)Medical Instrument Detection in 3-Dimensional Ultrasound Data Volumes., , , , , , , , , and . IEEE Trans. Med. Imaging, 36 (8): 1664-1675 (2017)Weakly-supervised Learning For Catheter Segmentation in 3D Frustum Ultrasound., , , and . CoRR, (2020)Efficient Medical Instrument Detection in 3D Volumetric Ultrasound Data., , , and . IEEE Trans. Biomed. Eng., 68 (3): 1034-1043 (2021)Transferring from ex-vivo to in-vivo: Instrument Localization in 3D Cardiac Ultrasound Using Pyramid-UNet with Hybrid Loss., , , , and . MICCAI (5), volume 11768 of Lecture Notes in Computer Science, page 263-271. Springer, (2019)