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Can Zhao
Can Zhao
Email confirmado em nvidia.com - Página inicial
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Monai: An open-source framework for deep learning in healthcare
MJ Cardoso, W Li, R Brown, N Ma, E Kerfoot, Y Wang, B Murrey, ...
arXiv preprint arXiv:2211.02701, 2022
4892022
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
2192019
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
2002018
Unsupervised MR-to-CT synthesis using structure-constrained CycleGAN
H Yang, J Sun, A Carass, C Zhao, J Lee, JL Prince, Z Xu
IEEE transactions on medical imaging 39 (12), 4249-4261, 2020
1582020
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
1542020
Dints: Differentiable neural network topology search for 3d medical image segmentation
Y He, D Yang, H Roth, C Zhao, D Xu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
1072021
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
1002019
Nvidia flare: Federated learning from simulation to real-world
HR Roth, Y Cheng, Y Wen, I Yang, Z Xu, YT Hsieh, K Kersten, A Harouni, ...
arXiv preprint arXiv:2210.13291, 2022
822022
Whole brain segmentation and labeling from CT using synthetic MR images
C Zhao, A Carass, J Lee, Y He, JL Prince
Machine Learning in Medical Imaging: 8th International Workshop, MLMI 2017 …, 2017
752017
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
722018
Generative ai for medical imaging: extending the monai framework
WHL Pinaya, MS Graham, E Kerfoot, PD Tudosiu, J Dafflon, V Fernandez, ...
arXiv preprint arXiv:2307.15208, 2023
652023
Closing the generalization gap of cross-silo federated medical image segmentation
A Xu, W Li, P Guo, D Yang, HR Roth, A Hatamizadeh, C Zhao, D Xu, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
632022
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, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
582018
Auto-fedrl: Federated hyperparameter optimization for multi-institutional medical image segmentation
P Guo, D Yang, A Hatamizadeh, A Xu, Z Xu, W Li, C Zhao, D Xu, ...
European Conference on Computer Vision, 437-455, 2022
572022
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: International Workshop …, 2017
552017
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, 434-439, 2017
482017
Fair federated medical image segmentation via client contribution estimation
M Jiang, HR Roth, W Li, D Yang, C Zhao, V Nath, D Xu, Q Dou, Z Xu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
412023
MONAI: an open-source framework for deep learning in healthcare (2022)
MJ Cardoso, W Li, R Brown, N Ma, E Kerfoot, Y Wang, B Murrey, ...
arXiv preprint arXiv:2211.02701, 2023
352023
MONAI: An open-source framework for deep learning in healthcare. arXiv 2022
MJ Cardoso, W Li, R Brown, N Ma, E Kerfoot, Y Wang, B Murrey, ...
arXiv preprint arXiv:2211.02701, 2023
292023
Biomedical image analysis competitions: The state of current participation practice
M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ...
arXiv preprint arXiv:2212.08568, 2022
292022
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