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Active Relearning for Robust Supervised Training of Emphysema Patterns., , , , and . J. Digital Imaging, 27 (4): 548-555 (2014)Shape-Based Interpolation of Porous and Tortuous Binary Objects., , and . MICCAI (2), volume 2879 of Lecture Notes in Computer Science, page 957-958. Springer, (2003)Automated segmentation of the lungs from high resolution CT images for quantitative study of chronic obstructive pulmonary diseases., , , , and . Medical Imaging: Image-Guided Procedures, volume 5744 of SPIE Proceedings, SPIE, (2005)Quantitative image analytics for stratified pulmonary medicine., , , , and . ISBI, page 1779-1782. IEEE, (2012)Active relearning for robust supervised classification of pulmonary emphysema., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 8315 of SPIE Proceedings, page 83152Q. SPIE, (2012)Advanced techniques in volume visualization and analysis., , , and . VBC, volume 1808 of SPIE Proceedings, SPIE, (1992)Detail-on-Demand Visualization for Lean Understanding of Lung Abnormalities., , , , , and . MMVR, volume 173 of Studies in Health Technology and Informatics, page 362-368. IOS Press, (2012)Quantitative consensus of supervised learners for diffuse lung parenchymal HRCT patterns., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 8670 of SPIE Proceedings, page 867037. SPIE, (2013)Effect of denoising on supervised lung parenchymal clusters., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 8315 of SPIE Proceedings, page 83152X. SPIE, (2012)Evaluation of automated airway morphological quantification for assessing fibrosing lung disease., , , , , , , , , and 14 other author(s). CoRR, (2021)