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Landscaping the effect of CT reconstruction parameters: Robust Interstitial Pulmonary Fibrosis quantitation.

, , , , , , and . ISBI, page 374-377. IEEE, (2013)

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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)Active Relearning for Robust Supervised Training of Emphysema Patterns., , , , and . J. Digital Imaging, 27 (4): 548-555 (2014)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)Automating the expert consensus paradigm for robust lung tissue classification., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 8315 of SPIE Proceedings, page 831530. SPIE, (2012)Referenceless Stratification of Parenchymal Lung Abnormalities., , , , and . MICCAI (3), volume 6893 of Lecture Notes in Computer Science, page 223-230. Springer, (2011)Generic User-guided Interaction Paradigm for Precise Post-slice-wise Processing of Tomographic Deep Learning Segmentations Utilizing Graph Cut and Graph Segmentation., , , and . VISIGRAPP (4: VISAPP), page 235-244. SCITEPRESS, (2021)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)