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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)When Does Bone Suppression And Lung Field Segmentation Improve Chest X-Ray Disease Classification?, , , , , , , , and . ISBI, page 1362-1366. IEEE, (2019)A novel bone suppression method that improves lung nodule detection., , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 11 (4): 641-655 (2016)Detection Of Foreign Objects In Chest Radiographs Using Deep Learning., , , , and . ISBI Workshops, page 1-4. IEEE, (2020)Estimation of incomplete organ-coverage using 3D fully convolutional networks., , , , , , and . Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)Deep learning for the detection of landmarks in head CT images and automatic quality assessment., , , , and . Medical Imaging: Image Processing, volume 11596 of SPIE Proceedings, SPIE, (2021)Localization of Critical Findings in Chest X-Ray Without Local Annotations Using Multi-Instance Learning., , , and . ISBI, page 1879-1882. IEEE, (2020)Landmark Constellation Models For Central Venous Catheter Malposition Detection., , , , and . ISBI, page 1132-1136. IEEE, (2021)Deep Learning for Pneumothorax Detection and Localization in Chest Radiographs., , , , , , , and . CoRR, (2019)