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Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19.

, , , , , , , , , , , , , , , , , , , and . Medical Image Anal., (2021)

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Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19., , , , , , , , , and 10 other author(s). CoRR, (2020)Cell Nuclei Segmentation With Dynamic Token-Based Attention Network., , , , , and . EMBC, page 1-4. IEEE, (2023)TransUNet-Lite: A Robust Approach to Cell Nuclei Segmentation., , , , , , and . ICMHI, page 251-258. ACM, (2023)Abdominal CT Segmentation for Body Composition Assessment Using Network Consistency Learning., , , , and . EMBC, page 1-4. IEEE, (2023)Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19., , , , , , , , , and 10 other author(s). Medical Image Anal., (2021)Deep Learning-based Four-region Lung Segmentation in Chest Radiography for COVID-19 Diagnosis., , , , , , , , , and 3 other author(s). CoRR, (2020)Volumetric Body Composition Through Cross-Domain Consistency Training for Unsupervised Domain Adaptation., , , , and . ISVC (1), volume 14361 of Lecture Notes in Computer Science, page 289-299. Springer, (2023)Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels., , , , , , , , , and 18 other author(s). IEEE J. Biomed. Health Informatics, 24 (12): 3529-3538 (2020)