Tong Yu

Tong Yu is a PhD candidate in Bioengineering at the University of Pittsburgh. Her research focuses on quantitative CT imaging, statistical modeling, and machine learning for disease risk assessment and clinical outcome prediction. She is particularly interested in multisystem imaging biomarkers and their applications in lung cancer research.

  • Pu, L., Gezer, N.S., Yu, T., Kirshenboim, Z., Duman, E., Dhupar, R., & Meng, X. (2026). Simulation-Driven Annotation-Free Deep Learning for Automated Detection and Segmentation of Airway Mucus Plugs on Non-Contrast CT Images. Bioengineering (Basel), 13(2).MDPI. doi: 10.3390/bioengineering13020153.
  • Auster, Q., Almetwali, O., Yu, T., Kelder, A., Nouraie, S.M., Mustafaev, T., Rivera-Lebron, B., Risbano, M.G., & Pu, J. (2024). CT-Derived Features as Predictors of Clot Burden and Resolution. Bioengineering (Basel), 11(11).MDPI. doi: 10.3390/bioengineering11111062.
  • Yu, T., Zhao, X., Kokenberger, G., Leader, J.K., Wang, J., Xiao, D., Meng, X., Kammer, M.N., Grogan, E.L., Herman, J., Wilson, D., & Pu, J. (2024). CT-derived Body Composition Associated with Pulmonary Nodule Malignancy and Growth. In medRxiv. doi: 10.1101/2024.10.14.24315476.
  • Yu, T., Zhao, X., Leader, J.K., Wang, J., Meng, X., Herman, J., Wilson, D., & Pu, J. (2024). Vascular Biomarkers for Pulmonary Nodule Malignancy: Arteries vs. Veins. Cancers (Basel), 16(19).MDPI. doi: 10.3390/cancers16193274.