Difference between revisions of "Can"
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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, 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, | + | Zhao, Can, Aaron Carass, Junghoon Lee, Yufan He, and Jerry L. Prince. "Whole brain segmentation and labeling from CT using synthetic MR images." In International Workshop on Machine Learning in Medical Imaging, pp. 291-298. Springer, Cham, 2017. |
| − | images. In | ||
| − | |||
| − | Zhao, | + | Zhao, Can, Aaron Carass, Junghoon Lee, Amod Jog, and Jerry L. Prince. "A Supervoxel Based Random Forest Synthesis Framework for Bidirectional MR/CT Synthesis." In International Workshop on Simulation and Synthesis in Medical Imaging, pp. 33-40. Springer, Cham, 2017. |
| − | Workshop on Simulation and Synthesis in Medical Imaging. | ||
| − | |||
| − | Zhao, | + | Zhao, Can, Aaron Carass, Amod Jog, and Jerry L. Prince. "Effects of spatial resolution on image registration." In Medical Imaging 2016: Image Processing, vol. 9784, p. 97840Y. International Society for Optics and Photonics, 2016. |
| − | Medical Imaging | ||
Revision as of 20:50, 6 November 2018
<meta name="title" content="Can Zhao"/>
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, Can, Aaron Carass, Junghoon Lee, Yufan He, and Jerry L. Prince. "Whole brain segmentation and labeling from CT using synthetic MR images." In International Workshop on Machine Learning in Medical Imaging, pp. 291-298. Springer, Cham, 2017.
Zhao, Can, Aaron Carass, Junghoon Lee, Amod Jog, and Jerry L. Prince. "A Supervoxel Based Random Forest Synthesis Framework for Bidirectional MR/CT Synthesis." In International Workshop on Simulation and Synthesis in Medical Imaging, pp. 33-40. Springer, Cham, 2017.
Zhao, Can, Aaron Carass, Amod Jog, and Jerry L. Prince. "Effects of spatial resolution on image registration." In Medical Imaging 2016: Image Processing, vol. 9784, p. 97840Y. International Society for Optics and Photonics, 2016.
