1. S Kevin Zhou, Daniel Rueckert, and Gabor Fichtinger (Eds.), Handbook of Medical Image Computing and Computer Assisted Intervention, Academic Press, 2019. (ISBN 9780128161760. MICCAI book series. 1072 pages)

2. W Lin, H Liao, C Peng, X Sun, J Zhang, J Luo, R Chellappa, and S Kevin Zhou. DuDoNet: Dual domain network for CT metal artifact reduction. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, June 2019.

3. Q Yao, L Xiao, P Liu, and S Kevin Zhou. Label-free segmentation of COVID-19 lesions in lung CT. IEEE Trans. on Medical Imaging, 2021.

4. S Kevin Zhou, H Greenspan, C Davatzikos, JS Duncan, B van Ginneken, A Madabhushi, JL Prince, D Rueckert, and RM Summers. A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises. Proceedings of the IEEE, 109(5):820- 838, May 2021. (247 references)