Difference between revisions of "Can"
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{{h2|Can Zhao}} | {{h2|Can Zhao}} | ||
| − | I am currently a Ph.D. student in the | + | [[File:czhao.JPG]] |
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| + | I am currently a Ph.D. student in the Department 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== | ==Education== | ||
B.A., Tsinghua University, Micro-electronics, 2013 | B.A., Tsinghua University, Micro-electronics, 2013 | ||
| + | |||
M.S., Johns Hopkins University, Electrical and Computer Engineering, 2017 | M.S., Johns Hopkins University, Electrical and Computer Engineering, 2017 | ||
| − | ==Publications== | + | ==Publications [https://scholar.google.com/citations?user=CdzhxtYAAAAJ&hl=en&oi=sra]== |
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, 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, 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, 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. | |
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| + | 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. | ||
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| + | Lee, Junghoon, Aaron Carass, Amod Jog, Can Zhao, and Jerry L. Prince. "Multi-atlas-based CT synthesis from conventional MRI with patch-based refinement for MRI-based radiotherapy planning." In Medical Imaging 2017: Image Processing, vol. 10133, p. 101331I. International Society for Optics and Photonics, 2017. | ||
| + | |||
| + | Goyal, Sachin, Can Zhao, Amod Jog, Jerry L. Prince, and Aaron Carass. "Improving self super resolution in magnetic resonance images." In Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging, vol. 10578, p. 1057814. International Society for Optics and Photonics, 2018. | ||
| − | Zhao, | + | Dewey, Blake E., Can Zhao, Aaron Carass, Jiwon Oh, Peter A. Calabresi, Peter CM van Zijl, and Jerry L. Prince. "Deep Harmonization of Inconsistent MR Data for Consistent Volume Segmentation." In International Workshop on Simulation and Synthesis in Medical Imaging, pp. 20-30. Springer, Cham, 2018. |
| − | Workshop on Simulation and Synthesis in Medical Imaging. | ||
| − | |||
| − | + | Yang, Heran, Jian Sun, Aaron Carass, Can Zhao, Junghoon Lee, Zongben Xu, and Jerry Prince. "Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN." In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, pp. 174-182. Springer, Cham, 2018. | |
| − | Medical | ||
Latest revision as of 00:49, 3 July 2022
Can Zhao
I am currently a Ph.D. student in the Department 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 [1]
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.
Lee, Junghoon, Aaron Carass, Amod Jog, Can Zhao, and Jerry L. Prince. "Multi-atlas-based CT synthesis from conventional MRI with patch-based refinement for MRI-based radiotherapy planning." In Medical Imaging 2017: Image Processing, vol. 10133, p. 101331I. International Society for Optics and Photonics, 2017.
Goyal, Sachin, Can Zhao, Amod Jog, Jerry L. Prince, and Aaron Carass. "Improving self super resolution in magnetic resonance images." In Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging, vol. 10578, p. 1057814. International Society for Optics and Photonics, 2018.
Dewey, Blake E., Can Zhao, Aaron Carass, Jiwon Oh, Peter A. Calabresi, Peter CM van Zijl, and Jerry L. Prince. "Deep Harmonization of Inconsistent MR Data for Consistent Volume Segmentation." In International Workshop on Simulation and Synthesis in Medical Imaging, pp. 20-30. Springer, Cham, 2018.
Yang, Heran, Jian Sun, Aaron Carass, Can Zhao, Junghoon Lee, Zongben Xu, and Jerry Prince. "Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN." In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, pp. 174-182. Springer, Cham, 2018.
