Li, Z., Zhong, Z., Li, Y., Zhang, T. et al. (2020). "From community acquired pneumonia to COVID-19: a deep learning–based method for quantitative analysis of COVID-19 on thick-section CT scans." European Radiology. 30(1).
Tan, T., Rodriguez-Ruiz, A., Zhang, T. et al. (2023). "Multi-modal artificial intelligence for the combination of automated 3D breast ultrasound and mammograms in a population of women with predominantly dense breasts." Insights into Imaging. 14(10).
Zhang, T., Tan, T., Han, L. et al. (2023). "Predicting breast cancer types on and beyond molecular level in a multi-modal fashion." NPJ breast cancer. 9(16).
Zhang, T., Tan, T., Samperna, R. et al. (2023). "Radiomics and artificial intelligence in breast imaging: a survey." Artificial Intelligence Review. 56(1).
Zhang, T., Tan, T., Wang, X. et al. (2023). "RadioLOGIC, a healthcare model for processing electronic health records and decision-making in breast disease." Cell Reports Medicine. 4(8).
Zhang, T. & Mann, R. (2023). "Contrast-enhanced mammography: better with AI?." European Radiology.
Zhang, T., Han, L., D‘Angelo, A. et al. (2023). "Synthesis of Contrast-Enhanced Breast MRI Using T1-and Multi-b-Value DWI-Based Hierarchical Fusion Network with Attention Mechanism." MICCAI.
Wang, X., Tan, T., Gao, Y. et al. (2023). "DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms Using Self-adversarial Learning." MICCAI.
Han, L., Zhang, T., Hunag, Y. et al. (2023). "An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis." MICCAI.
Han, L., Tan, T., Zhang, T. et al. (2023). "Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI." Medical Image Analysis. 92.
Talk at UC San Francisco, Department of Testing, San Francisco, California
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk at London School of Testing, London, UK
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA