| 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 | 81 | 2020 |
| 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 | 38 | 2021 |
| 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 | 24 | 2022 |
| 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 | 22 | 2020 |
| 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 | 18 | 2018 |
| 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 | 14 | 2021 |
| 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 | 14 | 2020 |
| Fine-grained butterfly and moth classification using deep convolutional neural networks Q Chang, H Qu, P Wu, J Yi Machine Learning course project report, submitted to the Department of …, 2017 | 14 | 2017 |
| 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 | 12 | 2021 |
| 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 | 12 | 2009 |
| 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 | 10 | 2022 |
| 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 | 10 | 2022 |
| 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 | 10 | 2022 |
| 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 | 10 | 2020 |
| Machine Learning in Cardiovascular Medicine SJ Al'Aref, G Singh, L Baskaran, D Metaxas Academic Press, 2020 | 9 | 2020 |
| 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 | 7 | 2023 |
| 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 | 5 | 2023 |
| Distributed generative adversarial networks suitable for privacy-restricted data Q Chang, D Metaxas, H Qu, Y Zhang WO Patent WO2021242956A1, 2021 | 3 | 2021 |
| 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 | 2 | 2022 |
| 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 | 2 | 2021 |
Dimitris N. MetaxasDistinguished Professor of Computer Science, Rutgers UniversityVerified email at cs.rutgers.edu
