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Thomas Ying is a Doctoral Student at the University of Gothenburg. His research focuses on AI-based fully automatic image analysis, particularly in the context of estimating total muscle volume from computed tomography scans. He collaborates with a team of researchers including Pablo Borrelli and Lars Edenbrandt on significant projects such as those assessing abdominal and thoracic segmentation volumes. His contributions aim to advance the field of imaging diagnostics, particularly concerning osteoporosis and sarcopenia, addressing critical health issues related to aging and muscle health.
Administered by the Department of Political Science; focus on International Administration and Global Governance (IAGG).