| Swin transformer for fast MRI J Huang, Y Fang, Y Wu, H Wu, Z Gao, Y Li, J Del Ser, J Xia, G Yang Neurocomputing 493, 281-304, 2022 | 150 | 2022 |
| FA-GAN: Fused attentive generative adversarial networks for MRI image super-resolution M Jiang, M Zhi, L Wei, X Yang, J Zhang, Y Li, P Wang, J Huang, G Yang Computerized Medical Imaging and Graphics 92, 101969, 2021 | 95 | 2021 |
| Transfer learning enhanced generative adversarial networks for multi-channel MRI reconstruction J Lv, G Li, X Tong, W Chen, J Huang, C Wang, G Yang Computers in Biology and Medicine 134, 104504, 2021 | 62 | 2021 |
| Swin deformable attention u-net transformer (sdaut) for explainable fast mri J Huang, X Xing, Z Gao, G Yang International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 33 | 2022 |
| Improved YOLOv3 Model for miniature camera detection J Huang, H Zhang, L Wang, Z Zhang, C Zhao Optics & Laser Technology 142, 107133, 2021 | 33 | 2021 |
| Fast MRI reconstruction: How powerful transformers are? J Huang, Y Wu, H Wu, G Yang 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 29 | 2022 |
| Is attention all you need in medical image analysis? A review. G Papanastasiou, N Dikaios, J Huang, C Wang, G Yang IEEE Journal of Biomedical and Health Informatics, 2023 | 23 | 2023 |
| Edge-enhanced dual discriminator generative adversarial network for fast MRI with parallel imaging using multi-view information J Huang, W Ding, J Lv, J Yang, H Dong, J Del Ser, J Xia, T Ren, ST Wong, ... Applied Intelligence 52 (13), 14693-14710, 2022 | 19 | 2022 |
| Generative Adversarial Network Powered Fast Magnetic Resonance Imaging—Comparative Study and New Perspectives G Yang, J Lv, Y Chen, J Huang, J Zhu Generative Adversarial Learning: Architectures and Applications, 305-339, 2022 | 18* | 2022 |
| ViGU: Vision GNN U-net for fast MRI. J Huang, A Aviles-Rivero, CB Schonlieb, G Yang 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) 2302, 2023 | 16* | 2023 |
| Mambamir: An arbitrary-masked mamba for joint medical image reconstruction and uncertainty estimation J Huang, L Yang, F Wang, Y Nan, AI Aviles-Rivero, CB Schönlieb, ... arXiv preprint arXiv:2402.18451, 2024 | 15 | 2024 |
| Cdiffmr: Can we replace the gaussian noise with k-space undersampling for fast MRI? J Huang, AI Aviles-Rivero, CB Schönlieb, G Yang International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 14 | 2023 |
| CS: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention X Xing, J Huang, Y Nan, Y Wu, C Wang, Z Gao, S Walsh, G Yang International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 11 | 2022 |
| HAMLET: Graph Transformer Neural Operator for Partial Differential Equations A Bryutkin *(co-first), J Huang *(co-first), Z Deng, G Yang, CB Schönlieb, ... The 41st International Conference on Machine Learning (ICML) 2024, 2024 | 8* | 2024 |
| Hybrid Swin Deformable Attention U-Net for Medical Image Segmentation L Wang *(co-first), J Huang *(co-first), X Xing, G Yang 2023 19th International Symposium on Medical Information Processing and …, 2023 | 7* | 2023 |
| When AI Eats Itself: On the Caveats of Data Pollution in the Era of Generative AI X Xing, F Shi, J Huang, Y Wu, Y Nan, S Zhang, Y Fang, M Roberts, ... arXiv preprint arXiv:2405.09597, 2024 | 6 | 2024 |
| Deep learning-based diffusion tensor cardiac magnetic resonance reconstruction: a comparison study J Huang, PF Ferreira, L Wang, Y Wu, AI Aviles-Rivero, CB Schönlieb, ... Scientific Reports 14 (1), 5658, 2024 | 6 | 2024 |
| Data and Physics Driven Learning Models for Fast MRI--Fundamentals and Methodologies from CNN, GAN to Attention and Transformers J Huang, Y Fang, Y Nan, H Wu, Y Wu, Z Gao, Y Li, Z Wang, P Lio, ... arXiv preprint arXiv:2204.01706, 2022 | 4 | 2022 |
| The effects of field strength on stimulated echo and motion-compensated spin-echo diffusion tensor cardiovascular magnetic resonance sequences AD Scott, K Wen, Y Luo, J Huang, S Gover, R Soundarajan, PF Ferreira, ... Journal of Cardiovascular Magnetic Resonance 26 (2), 101052, 2024 | 3 | 2024 |
| Beyond u: Making diffusion models faster & lighter S Calvo-Ordonez, J Huang, L Zhang, G Yang, CB Schonlieb, ... NeurIPS 2023 Workshop on Diffusion Models, 2023 | 3 | 2023 |
Guang YangProfessor of BME, Huazhong University of Science and Technology在 hust.edu.cn 的电子邮件经过验证