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qi chang
qi chang
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Synthetic learning: Learn from distributed asynchronized discriminator gan without sharing medical image data
Q Chang, H Qu, Y Zhang, M Sabuncu, C Chen, T Zhang, DN Metaxas
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
852020
Deeptag: An unsupervised deep learning method for motion tracking on cardiac tagging magnetic resonance images
M Ye, M Kanski, D Yang, Q Chang, Z Yan, Q Huang, L Axel, D Metaxas
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
392021
Transfusion: multi-view divergent fusion for medical image segmentation with transformers
D Liu, Y Gao, Q Zhangli, L Han, X He, Z Xia, S Wen, Q Chang, Z Yan, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2022
302022
Learn distributed gan with temporary discriminators
H Qu, Y Zhang, Q Chang, Z Yan, C Chen, D Metaxas
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
242020
A novel deep learning approach for automated diagnosis of acute ischemic infarction on computed tomography
AN Beecy, Q Chang, K Anchouche, L Baskaran, K Elmore, K Kolli, ...
JACC: Cardiovascular Imaging 11 (11), 1723-1725, 2018
202018
Training federated GANs with theoretical guarantees: A universal aggregation approach
Y Zhang, H Qu, Q Chang, H Liu, D Metaxas, C Chen
arXiv preprint arXiv:2102.04655, 2021
192021
Soft-label guided semi-supervised learning for bi-ventricle segmentation in cardiac cine MRI
Q Chang, Z Yan, Y Lou, L Axel, DN Metaxas
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1752-1755, 2020
152020
Deeprecon: Joint 2d cardiac segmentation and 3d volume reconstruction via a structure-specific generative method
Q Chang, Z Yan, M Zhou, D Liu, K Sawalha, M Ye, Q Zhangli, M Kanski, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2022
142022
Refined deep layer aggregation for multi-disease, multi-view & multi-center cardiac MR segmentation
D Liu, Z Yan, Q Chang, L Axel, DN Metaxas
International Workshop on Statistical Atlases and Computational Models of …, 2021
142021
Fine-grained butterfly and moth classification using deep convolutional neural networks
Q Chang, H Qu, P Wu, J Yi
Rutgers University: New Brunswick, NJ, USA, 2017
142017
Region proposal rectification towards robust instance segmentation of biological images
Q Zhangli, J Yi, D Liu, X He, Z Xia, Q Chang, L Han, Y Gao, S Wen, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2022
122022
Contemporary applications of machine learning for device therapy in heart failure
N Gautam, SN Ghanta, A Clausen, P Saluja, K Sivakumar, G Dhar, ...
Heart Failure 10 (9), 603-622, 2022
122022
Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without Sharing Private Information
Q Chang, Z Yan, L Baskaran, H Qu, Y Zhang, T Zhang, S Zhang, ...
arXiv preprint arXiv:2012.08604, 2020
122020
基于 VML 与 SVG 的矢量图形构架
常齐, 钟勇
计算机应用 29 (B06), 288-291, 2009
122009
Machine Learning in Cardiovascular Medicine
SJ Al'Aref, G Singh, L Baskaran, D Metaxas
Academic Press, 2020
102020
Dealing with heterogeneous 3d mr knee images: A federated few-shot learning method with dual knowledge distillation
X He, C Tan, B Liu, L Si, W Yao, L Zhao, D Liu, Q Zhangli, Q Chang, K Li, ...
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023
82023
Mining multi-center heterogeneous medical data with distributed synthetic learning
Q Chang, Z Yan, M Zhou, H Qu, X He, H Zhang, L Baskaran, S Al’Aref, ...
Nature communications 14 (1), 5510, 2023
62023
Distributed generative adversarial networks suitable for privacy-restricted data
Q Chang, D Metaxas, H Qu, Y Zhang
WO Patent WO2021242956A1, 2021
32021
An unsupervised 3D recurrent neural network for slice misalignment correction in cardiac MR imaging
Q Chang, Z Yan, M Ye, K Mikael, S Al’Aref, L Axel, DN Metaxas
International Workshop on Statistical Atlases and Computational Models of …, 2021
32021
Modality Bank: Learn multi-modality images across data centers without sharing medical data
Q Chang, H Qu, Z Yan, Y Gao, L Baskaran, D Metaxas
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
22022
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