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 | 87 | 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 | 68 | 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 | 53 | 2021 |
Improved YOLOv3 Model for miniature camera detection J Huang, H Zhang, L Wang, Z Zhang, C Zhao Optics & Laser Technology 142, 107133, 2021 | 26 | 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 | 22 | 2022 |
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 | 21 | 2022 |
Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance Imaging--Mini Review, Comparison and Perspectives G Yang, J Lv, Y Chen, J Huang, J Zhu arXiv preprint arXiv:2105.01800, 2021 | 16 | 2021 |
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 | 13 | 2022 |
Vigu: Vision gnn u-net for fast mri J Huang, AI Aviles-Rivero, CB Schönlieb, G Yang 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 9 | 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 | 9 | 2022 |
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 | 6 | 2023 |
MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation J Huang, L Yang, F Wang, Y Wu, Y Nan, AI Aviles-Rivero, CB Schönlieb, ... arXiv preprint arXiv:2402.18451, 2024 | 5 | 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 | 3 | 2024 |
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 | 3 | 2023 |
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations A Bryutkin, J Huang, Z Deng, G Yang, CB Schönlieb, A Aviles-Rivero arXiv preprint arXiv:2402.03541, 2024 | 2 | 2024 |
Beyond U: Making Diffusion Models Faster & Lighter S Calvo-Ordonez, J Huang, L Zhang, G Yang, CB Schonlieb, ... arXiv preprint arXiv:2310.20092, 2023 | 2 | 2023 |
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 | 2 | 2022 |
Hybrid Swin Deformable Attention U-Net for Medical Image Segmentation L Wang, J Huang, X Xing, G Yang 2023 19th International Symposium on Medical Information Processing and …, 2023 | 1 | 2023 |
Swin deformable attention hybrid U-Net for medical image segmentation L Wang, J Huang, X Xing, G Yang arXiv preprint arXiv:2302.14450, 2023 | 1 | 2023 |
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 | 1 | 2022 |