| Unpaired brain MR-to-CT synthesis using a structure-constrained CycleGAN H Yang, J Sun, A Carass, C Zhao, J Lee, Z Xu, J Prince Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018 | 59 | 2018 |
| DeepHarmony: A deep learning approach to contrast harmonization across scanner changes BE Dewey, C Zhao, JC Reinhold, A Carass, KC Fitzgerald, ES Sotirchos, ... Magnetic resonance imaging 64, 160-170, 2019 | 39 | 2019 |
| Self super-resolution for magnetic resonance images using deep networks C Zhao, A Carass, BE Dewey, JL Prince 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 37 | 2018 |
| Whole brain segmentation and labeling from CT using synthetic MR images C Zhao, A Carass, J Lee, Y He, JL Prince International Workshop on Machine Learning in Medical Imaging, 291-298, 2017 | 30 | 2017 |
| A deep learning based anti-aliasing self super-resolution algorithm for MRI C Zhao, A Carass, BE Dewey, J Woo, J Oh, PA Calabresi, DS Reich, ... International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 28 | 2018 |
| Towards topological correct segmentation of macular OCT from cascaded FCNs Y He, A Carass, Y Yun, C Zhao, BM Jedynak, SD Solomon, S Saidha, ... Fetal, Infant and Ophthalmic Medical Image Analysis, 202-209, 2017 | 28 | 2017 |
| Applications of a deep learning method for anti-aliasing and super-resolution in MRI C Zhao, M Shao, A Carass, H Li, BE Dewey, LM Ellingsen, J Woo, ... Magnetic resonance imaging 64, 132-141, 2019 | 25 | 2019 |
| Multi-atlas-based CT synthesis from conventional MRI with patch-based refinement for MRI-based radiotherapy planning J Lee, A Carass, A Jog, C Zhao, JL Prince Medical Imaging 2017: Image Processing 10133, 101331I, 2017 | 20 | 2017 |
| A supervoxel based random forest synthesis framework for bidirectional MR/CT synthesis C Zhao, A Carass, J Lee, A Jog, JL Prince International Workshop on Simulation and Synthesis in Medical Imaging, 33-40, 2017 | 11 | 2017 |
| Compact model and projection of silicon nanowire tunneling transistors (NW-tFETs) Q Shao, C Zhao, C Wu, J Zhang, L Zhang, Z Yu 2013 IEEE International Conference of Electron Devices and Solid-state …, 2013 | 11 | 2013 |
| SMORE: A Self-supervised Anti-aliasing and Super-resolution Algorithm for MRI Using Deep Learning C Zhao, BE Dewey, DL Pham, PA Calabresi, DS Reich, JL Prince IEEE Transactions on Medical Imaging, 2020 | 7 | 2020 |
| Deep harmonization of inconsistent MR data for consistent volume segmentation BE Dewey, C Zhao, A Carass, J Oh, PA Calabresi, PCM van Zijl, JL Prince International Workshop on Simulation and Synthesis in Medical Imaging, 20-30, 2018 | 7 | 2018 |
| Effects of spatial resolution on image registration C Zhao, A Carass, A Jog, JL Prince Medical Imaging 2016: Image Processing 9784, 97840Y, 2016 | 7 | 2016 |
| Lamp: Large deep nets with automated model parallelism for image segmentation W Zhu, C Zhao, W Li, H Roth, Z Xu, D Xu International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 4 | 2020 |
| Compact model of nanowire tunneling fets including phonon-assisted tunneling and quantum capacitance Q Shao, C Zhao, J Zhang, L Zhang, Z Yu arXiv preprint arXiv:1412.1902, 2014 | 3 | 2014 |
| Image synthesis and superresolution in medical imaging JL Prince, A Carass, C Zhao, BE Dewey, S Roy, DL Pham Handbook of Medical Image Computing and Computer Assisted Intervention, 1-24, 2020 | 2 | 2020 |
| iSMORE: An iterative self super-resolution algorithm C Zhao, S Son, Y Kim, JL Prince International Workshop on Simulation and Synthesis in Medical Imaging, 130-139, 2019 | 1 | 2019 |
| Improving self super resolution in magnetic resonance images S Goyal, C Zhao, A Jog, JL Prince, A Carass Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and …, 2018 | 1 | 2018 |
| Simulation and Synthesis in Medical Imaging: 5th International Workshop, SASHIMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings N Burgos, D Svoboda, JM Wolterink, C Zhao Springer Nature, 2020 | | 2020 |
| Deep-Learning for Longitudinal Harmonization of Structural MRI BE Dewey, C Zhao, KC Fitzgerald, ES Sotirchos, S Saidha, J Oh, ... ACTRIMS Forum 2019, 2019 | | 2019 |
Jerry L. PrinceProfessor of Electrical and Computer Engineering, Johns Hopkins UniversityVerified email at jhu.edu
