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Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists.

, , , , , , , , , , , , , , , , and . Neurocomputing, (2022)

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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)Improving Catheter Segmentation & Localization in 3D Cardiac Ultrasound Using Direction-Fused Fcn., , , and . ISBI, page 1122-1126. IEEE, (2019)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)Automated Catheter Localization in Volumetric Ultrasound Using 3D Patch-Wise U-Net with Focal Loss., , , and . ICIP, page 1346-1350. IEEE, (2019)Weakly-supervised learning for catheter segmentation in 3D frustum ultrasound., , , and . Comput. Medical Imaging Graph., (2022)Medical Instrument Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning., , , , , and . CoRR, (2021)Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists., , , , , , , , , and 7 other author(s). Neurocomputing, (2022)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)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)