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Emphysema quantification in a multi-scanner HRCT cohort using local intensity distributions., , , , , , , , , и . ISBI, стр. 474-477. IEEE, (2012)Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease., , , , , , , и . J. Digital Imaging, 31 (4): 415-424 (2018)Identification of usual interstitial pneumonia pattern using RNA-Seq and machine learning: challenges and solutions., , , , , , , , , и . BMC Genom., (2018)Function Follows Form: Regression from Complete Thoracic Computed Tomography Scans., , , и . CoRR, (2019)Lung Lobe Segmentation With Automated Quality Assurance Using Deep Convolutional Neural Networks., , , , и . ISBI Workshops, стр. 1-4. IEEE, (2020)Automatic Classification of Centrilobular Emphysema on CT Using Deep Learning: Comparison with Visual Scoring., , , и . RAMBO+BIA+TIA@MICCAI, том 11040 из Lecture Notes in Computer Science, стр. 319-325. Springer, (2018)An Ensemble Method for Classifying Regional Disease Patterns of Diffuse Interstitial Lung Disease Using HRCT Images from Different Vendors., , , , и . J. Digital Imaging, 30 (6): 761-771 (2017)