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Extraction of Aortic Knuckle Contour in Chest Radiographs Using Deep Learning., , , , , and . EMBC, page 5890-5893. IEEE, (2018)Medical Applications of Digital Image Morphing., , and . J. Digital Imaging, 20 (3): 279-283 (2007)Multispecialty Enterprise Imaging Workgroup Consensus on Interactive Multimedia Reporting Current State and Road to the Future: HIMSS-SIIM Collaborative White Paper., , , , , , , , , and 15 other author(s). J. Digit. Imaging, 34 (3): 495-522 (2021)Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays., , , , , , , , , and 1 other author(s). Int. J. Comput. Assist. Radiol. Surg., 11 (1): 99-106 (2016)Atlas-based rib-bone detection in chest X-rays., , , , , , and . Comput. Medical Imaging Graph., (2016)Annotations of Lung Abnormalities in the Shenzhen Chest X-ray Dataset for Computer-Aided Screening of Pulmonary Diseases., , , , , , , , and . Data, 7 (7): 95 (2022)Open-Source Radiation Exposure Extraction Engine (RE3) with Patient-Specific Outlier Detection., , , , , , and . J. Digit. Imaging, 29 (4): 406-419 (2016)Improved TB classification using bone-suppressed chest radiographs., , , , and . CoRR, (2021)Clinical Applications of a CT Window Blending Algorithm: RADIO (Relative Attenuation-Dependent Image Overlay)., , , , , , and . J. Digital Imaging, 30 (3): 358-368 (2017)Resources Required for Semi-Automatic Volumetric Measurements in Metastatic Chordoma: Is Potentially Improved Tumor Burden Assessment Worth the Time Burden?, , , , and . J. Digit. Imaging, 29 (3): 357-364 (2016)