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A New System for Lung Cancer Diagnosis based on the Integration of Global and Local CT Features., , , , , , , , and . IST, page 1-6. IEEE, (2019)Image-based CAD system for accurate identification of lung injury., , , , , , , , and . ICIP, page 121-125. IEEE, (2016)An ISO-surfaces based local deformation handling framework of lung tissues., , , , , and . ISBI, page 1253-1256. IEEE, (2016)Detection of lung injury using 4D-CT chest images., , , , , , and . ISBI, page 1274-1277. IEEE, (2016)A comprehensive framework for early assessment of lung injury., , , , , , , , and . ICIP, page 3275-3279. IEEE, (2017)A new framework for incorporating appearance and shape features of lung nodules for precise diagnosis of lung cancer., , , , , , , , and . ICIP, page 1372-1376. IEEE, (2017)3D segmentation of lung CT data with graph-cuts: analysis of parameter sensitivities., , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 9788 of SPIE Proceedings, page 97882O. SPIE, (2016)4D lung tumor segmentation via shape prior and motion cues., , , and . EMBC, page 1284-1287. IEEE, (2016)Volumetric analysis of respiratory gated whole lung and liver CT data with motion-constrained graph cuts segmentation., , , and . EMBC, page 3405-3408. IEEE, (2017)Comparison of indices of regional lung function from 4-D X-ray CT: Jacobian vs. strain of deformation., , , , , and . ISBI, page 648-651. IEEE, (2013)