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Towards automatic pulmonary nodule management in lung cancer screening with deep learning., , , , , , , , , and 3 other author(s). CoRR, (2016)Function Follows Form: Regression from Complete Thoracic Computed Tomography Scans., , , and . CoRR, (2019)Optimization Strategies for Interactive Classification of Interstitial Lung Disease Textures., , , , , , , , , and . Frontiers ICT, (2016)Interactive classification of lung tissue in CT scans by combining prior and interactively obtained training data: A simulation study., , , , , , , , and . ICPR, page 105-108. IEEE Computer Society, (2012)Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge., , , , , , , , , and 21 other author(s). CoRR, (2016)Automatic Pulmonary Artery-Vein Separation and Classification in Computed Tomography Using Tree Partitioning and Peripheral Vessel Matching., , , , , and . IEEE Trans. Medical Imaging, 35 (3): 882-892 (2016)Automatic detection of subsolid pulmonary nodules in thoracic computed tomography images., , , , , , , , , and 1 other author(s). Medical Image Anal., 18 (2): 374-384 (2014)Improving airway segmentation in computed tomography using leak detection with convolutional networks., , , , , and . Medical Image Anal., (2017)