| Review of deep learning for photoacoustic imaging C Yang, H Lan, F Gao, F Gao Photoacoustics, 2020 | 175* | 2020 |
| Y-Net: Hybrid deep learning image reconstruction for photoacoustic tomography in vivo H Lan, D Jiang, C Yang, F Gao, F Gao Photoacoustics 20, 100197, 2020 | 129 | 2020 |
| Ki-GAN: Knowledge Infusion Generative Adversarial Network for Photoacoustic Image Reconstruction In Vivo H Lan, K Zhou, C Yang, J Cheng, J Liu, S Gao, F Gao Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 64 | 2019 |
| EDA-Net: dense aggregation of deep and shallow information achieves quantitative photoacoustic blood oxygenation imaging deep in human breast C Yang, F Gao Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 50 | 2019 |
| AS-Net: fast photoacoustic reconstruction with multi-feature fusion from sparse data M Guo, H Lan, C Yang, J Liu, F Gao IEEE Transactions on Computational Imaging 8, 215-223, 2022 | 39 | 2022 |
| Quantitative photoacoustic blood oxygenation imaging using deep residual and recurrent neural network C Yang, H Lan, H Zhong, F Gao 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 36 | 2019 |
| Reconstruct the photoacoustic image based on deep learning with multi-frequency ring-shape transducer array H Lan, C Yang, D Jiang, F Gao 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 28 | 2019 |
| Accelerated photoacoustic tomography reconstruction via recurrent inference machines C Yang, H Lan, F Gao 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 26 | 2019 |
| Y-Net: a hybrid deep learning reconstruction framework for photoacoustic imaging in vivo H Lan, D Jiang, C Yang, F Gao arXiv preprint arXiv:1908.00975, 2019 | 22 | 2019 |
| Efficient Bayesian uncertainty estimation for nnU-Net Y Zhao, C Yang, A Schweidtmann, Q Tao International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 21 | 2022 |
| Compressed sensing for photoacoustic computed tomography based on an untrained neural network with a shape prior H Lan, J Zhang, C Yang, F Gao Biomedical optics express 12 (12), 7835-7848, 2021 | 19 | 2021 |
| Photoacoustic digital brain and deep-learning-assisted image reconstruction F Zhang, J Zhang, Y Shen, Z Gao, C Yang, M Liang, F Gao, L Liu, H Zhao, ... Photoacoustics 31, 100517, 2023 | 18 | 2023 |
| Human breast numerical model generation based on deep learning for photoacoustic imaging Y Ma, C Yang, J Zhang, Y Wang, F Gao, F Gao 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 17 | 2020 |
| Hybrid neural network for photoacoustic imaging reconstruction H Lan, K Zhou, C Yang, J Liu, S Gao, F Gao 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 16 | 2019 |
| A jointed feature fusion framework for photoacoustic image reconstruction H Lan, C Yang, F Gao Photoacoustics 29, 100442, 2023 | 15 | 2023 |
| Deep learning approach to reconstruct the photoacoustic image using multi-frequency data H Lan, C Yang, D Jiang, F Gao 2019 IEEE International Ultrasonics Symposium (IUS), 487-489, 2019 | 12 | 2019 |
| Limited-view photoacoustic imaging reconstruction with dual domain inputs based on mutual inforamtion J Zhang, H Lan, C Yang, T Lyu, S Guo, F Gao, F Gao 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1522-1526, 2021 | 11 | 2021 |
| DisQ: disentangling quantitative MRI mapping of the heart C Yang, Y Zhao, L Huang, L Xia, Q Tao International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 8 | 2022 |
| 3D Photoacoustic simulation of human skin vascular for quantitative image analysis T Lyu, C Yang, F Gao, F Gao 2021 IEEE International Ultrasonics Symposium (IUS), 1-3, 2021 | 8 | 2021 |
| Multi-wavelengths nonlinear photoacoustic imaging based on compact laser diode system H Zhong, Y Wang, T Duan, D Jiang, C Yang, F Gao 2019 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2019 | 7 | 2019 |
Fei GaoUniversity of Science and Technology of Chinaustc.edu.cn üzerinde doğrulanmış e-posta adresine sahip