Can

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Can Zhao

I am currently a Ph.D. student in the Departement of Electrical and Computer Engineering. My research interests include image synthesis, super-resolution, machine learning, and deep learning. I am advised by Dr. Jerry Prince.

Education

B.A., Tsinghua University, Micro-electronics, 2013 M.S., Johns Hopkins University, Electrical and Computer Engineering, 2017

Publications

Zhao, Can, Aaron Carass, Blake E. Dewey, Jonghye Woo, Jiwon Oh, Peter A. Calabresi, Daniel S. Reich, Pascal Sati, Dzung L. Pham, and Jerry L. Prince. "A deep learning based anti-aliasing self super-resolution algorithm for MRI." In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 100-108. Springer, Cham, 2018.

Zhao, Can, Aaron Carass, Blake E. Dewey, and Jerry L. Prince. "Self super-resolution for magnetic resonance images using deep networks." In Biomedical Imaging (ISBI 2018), 2018 IEEE 15th International Symposium on, pp. 365-368. IEEE, 2018.

Zhao, C., et al.: Whole brain segmentation and labeling from CT using synthetic MR images. In: MICCAI Workshop on Machine Learning in Medical Imaging.Lecture Notes in Computer Science, Springer Berlin Heidelberg (2017)

Zhao, C., et al.: A supervoxel based random forest synthesis framework for bidirectional MR/CT synthesis. In: MICCAI Workshop on Simulation and Synthesis in Medical Imaging.Lecture Notes in Computer Science, Springer Berlin Heidelberg (2017)

Zhao, C., Carass, A., Jog, A., & Prince, J. L. (2016, March). Effects of spatial resolution on image registration. In SPIE Medical Imaging (pp. 97840Y-97840Y). International Society for Optics and Photonics.