Publications

1. Zhang, J.Z., Rios, J.D., Pechlivanoglou, T., Yang, A., Zhang, Q., Deris, D., Cromwell, I., Pechlivanoglou, P. (2024). SurvdigitizeR: an algorithm for automated survival curve digitization. BMC Medical Research Methodology, 24(1), 147. doi: 10.1186/s12874-024-02273-8.
2. Bernard, C., Zhang, J.Z., Klieb, H., Blanas, N., Xu, W., Magalhaes, M. (2023). Clinical outcomes of oral epithelial dysplasia: Observation vs. excision at a Canadian tertiary center. Head & Neck.
3. Cherniawsky, H., Ting, E., Zhang, J.Z., Xu, W., Prica, A., Bhella, S., Yang, C., Kridel, R., Vijenthira, A., Kukreti, V.,Crump, M., Kuruvilla, J. (2023). Very late relapse in Hodgkin lymphoma: Characterizing an understudiedpopulation. *Clinical Lymphoma, Myeloma and Leukemia.**
4. Zhang, J. Z., Xu, W., Hu, P. (2022) “Tightly integrated Multiomics-based Deep Tensor Survival Model for Time-to-Event Prediction” Bioinformatics. Doi: 10.1093/bioinformatics/btac286
5. Liu, Q., Huang, S., Zhang, Z., Lakowski, T., Xu, W., Hu, P. (2021). Multiomics-based tensor decomposition for characterizing breast cancer heterogeneity. Invited chapter for “Machine Learning Methods for Multi-Omics Data Integration” edited by Luis Rueda. Nature Springer -Verlag Press.
6. Jiang, D., Lin, Y., Zhang, Z., Jiang, S. (2020) “Estimating Unknown Change Points and Variation Using SAS”. Proceedings of SAS Global Forum 2020
7. Wu, S. Q., Wang, Y., Zhang, Z. (2019) “Large-scale Hydraulic Engineering Vehicle Detection Based on SSD”. Proceedings of IEEE Big Data Service and Applications