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How does the artificial intelligence-based image-assisted technique help physicians in diagnosis of pulmonary adenocarcinoma? A randomized controlled experiment of multicenter physicians in China., , , , , , and . J. Am. Medical Informatics Assoc., 29 (12): 2041-2049 (2022)M$^3$Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening From CT Imaging., , , , , , and . IEEE J. Biomed. Health Informatics, 24 (12): 3539-3550 (2020)Hypergraph learning for identification of COVID-19 with CT imaging., , , , , , , , , and 6 other author(s). Medical Image Anal., (2021)Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan., , , , , , , , , and 2 other author(s). Medical Image Anal., (2021)Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field., , , , , and . CoRR, (2020)Clearness of operating field: a surrogate for surgical skills on in vivo clinical data., , , , , and . Int. J. Comput. Assist. Radiol. Surg., 15 (11): 1817-1824 (2020)Exploiting Deep Cross-Slice Features From CT Images For Multi-Class Pneumonia Classification., , , , , , , and . ICIP, page 205-209. IEEE, (2021)Structural Attention Graph Neural Network for Diagnosis and Prediction of COVID-19 Severity., , , , , , , , , and . IEEE Trans. Medical Imaging, 42 (2): 557-567 (February 2023)A 0.5-mΩ/√Hz Dry-Electrode Bioimpedance Interface With Current Mismatch Cancellation and Input Impedance of 100 MΩ at 50 kHz., , , , , and . IEEE J. Solid State Circuits, 58 (6): 1735-1745 (2023)Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT., , , , , , , , , and 7 other author(s). CoRR, (2020)