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A SR-NET 3D-to-2D Architecture For Paraseptal Emphysema Segmentation., , , , and . ISBI, page 303-306. IEEE, (2019)Deep-learning characterization and quantification of COVID-19 pneumonia lesions from chest CT images., , , , , , , , , and 3 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Deep learning-based lung segmentation and automatic regional template in chest X-ray images for pediatric tuberculosis., , , , , , and . CoRR, (2023)Emphysema classification using a multi-view convolutional network., , and . ISBI, page 519-522. IEEE, (2018)A Lightweight, Rapid and Efficient Deep Convolutional Network for Chest X-Ray Tuberculosis Detection., , , and . CoRR, (2023)Deep-learning strategy for pulmonary artery-vein classification of non-contrast CT images., , , , , and . ISBI, page 384-387. IEEE, (2017)Deep learning-based lung segmentation and automatic regional template in chest x-ray images for pediatric tuberculosis., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)Pulmonary Artery-Vein Classification in CT Images Using Deep Learning., , , , , , and . IEEE Trans. Medical Imaging, 37 (11): 2428-2440 (2018)A graph-cut approach for pulmonary artery-vein segmentation in noncontrast CT images., , , , , , and . Medical Image Anal., (2019)Combining collective and artificial intelligence for global health diseases diagnosis using crowdsourced annotated medical images., , , , , , , , , and 1 other author(s). EMBC, page 3344-3348. IEEE, (2021)