Xie Weiyi received his master degree from the Tampere University of Technology in 2014. His MSc works focused on the support vector machines learning and relevance feedback in content-based image retrieval, concluded in the master thesis "Incremental Learning in Support Vector Machines And Applications to Content-Based Image Retrieval". Xie started working on several industrial projects related to medical imaging analysis since 2015, with a special focus on pulmonary nodule detection in chest CT. Currently, He joined Diagnostic Image Analysis Group as a Ph.D. student in the Radboud University Medical Center in Nijmegen under the supervision of Bram van Ginneken. His current research interests are automated segmentation, categorization, and quantification of lung fissures, airways, vessels, emphysema patterns in chest CT to facilitate better treatment for COPD patients.

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