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

, , , , , , , , , , , , , , , , и . Neurocomputing, (2022)

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Yang Yang

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Yang Yang

Yang Yang

Yang Yang

 

Другие публикации лиц с тем же именем

Efficient Catheter Segmentation in 3D Cardiac Ultrasound using Slice-Based FCN With Deep Supervision and F-Score Loss., , , и . ICIP, стр. 260-264. IEEE, (2019)Improving Catheter Segmentation & Localization in 3D Cardiac Ultrasound Using Direction-Fused Fcn., , , и . ISBI, стр. 1122-1126. IEEE, (2019)Weakly-supervised learning for catheter segmentation in 3D frustum ultrasound., , , и . Comput. Medical Imaging Graph., (2022)Medical Instrument Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning., , , , , и . CoRR, (2021)Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists., , , , , , , , , и 7 other автор(ы). Neurocomputing, (2022)Deep Q-Network-Driven Catheter Segmentation in 3D US by Hybrid Constrained Semi-supervised Learning and Dual-UNet., , , и . MICCAI (1), том 12261 из Lecture Notes in Computer Science, стр. 646-655. Springer, (2020)Feasibility study of catheter segmentation in 3D Frustum ultrasounds by DCNN., , , , и . Medical Imaging: Image-Guided Procedures, том 11315 из SPIE Proceedings, стр. 1131521. SPIE, (2020)Automated Catheter Localization in Volumetric Ultrasound Using 3D Patch-Wise U-Net with Focal Loss., , , и . ICIP, стр. 1346-1350. IEEE, (2019)Efficient Medical Instrument Detection in 3D Volumetric Ultrasound Data., , , и . 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., , , , и . MICCAI (5), том 11768 из Lecture Notes in Computer Science, стр. 263-271. Springer, (2019)