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Deep Learning for Diagnosis and Segmentation of Pneumothorax: The Results on the Kaggle Competition and Validation Against Radiologists., , , , and . IEEE J. Biomed. Health Informatics, 25 (5): 1660-1672 (2021)Tubular shape aware data generation for segmentation in medical imaging., , , , and . Int. J. Comput. Assist. Radiol. Surg., 17 (6): 1091-1099 (2022)Tubular Shape Aware Data Generation for Semantic Segmentation in Medical Imaging., , , , and . CoRR, (2020)Understanding the impact of pair programming on the minds of developers., , , , , , and . ICSE (NIER), page 85-88. ACM, (2018)Bottom-Up Instance Segmentation of Catheters for Chest X-Rays., , , , and . CoRR, (2023)Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks., , , and . MICCAI (4), volume 13434 of Lecture Notes in Computer Science, page 693-703. Springer, (2022)Evaluation of Deep Learning Methods for Bone Suppression from Dual Energy Chest Radiography., , , , , and . ICANN (1), volume 12396 of Lecture Notes in Computer Science, page 247-257. Springer, (2020)Contour-aware multi-label chest X-ray organ segmentation., , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 15 (3): 425-436 (2020)Deep neural network ensemble for pneumonia localization from a large-scale chest x-ray database., , , , , and . Comput. Electr. Eng., (2019)Data Augmentation for Chest Pathologies Classification., , , and . ISBI, page 1216-1219. IEEE, (2019)