| BIRNet: Brain image registration using dual-supervised fully convolutional networks J Fan, X Cao, PT Yap, D Shen Medical image analysis 54, 193-206, 2019 | 303 | 2019 |
| Adversarial similarity network for evaluating image alignment in deep learning based registration J Fan, X Cao, Z Xue, PT Yap, D Shen Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 145 | 2018 |
| Adversarial learning for mono-or multi-modal registration J Fan, X Cao, Q Wang, PT Yap, D Shen Medical image analysis 58, 101545, 2019 | 136 | 2019 |
| Local statistics and non-local mean filter for speckle noise reduction in medical ultrasound image J Yang, J Fan, D Ai, X Wang, Y Zheng, S Tang, Y Wang Neurocomputing 195, 88-95, 2016 | 115 | 2016 |
| Brain MR image denoising for Rician noise using pre-smooth non-local means filter J Yang, J Fan, D Ai, S Zhou, S Tang, Y Wang Biomedical engineering online 14, 1-20, 2015 | 87 | 2015 |
| Augmented reality based real-time subcutaneous vein imaging system D Ai, J Yang, J Fan, Y Zhao, X Song, J Shen, L Shao, Y Wang Biomedical optics express 7 (7), 2565-2585, 2016 | 66 | 2016 |
| Multichannel fully convolutional network for coronary artery segmentation in X-ray angiograms J Fan, J Yang, Y Wang, S Yang, D Ai, Y Huang, H Song, A Hao, Y Wang Ieee Access 6, 44635-44643, 2018 | 64 | 2018 |
| Convex hull indexed Gaussian mixture model (CH-GMM) for 3D point set registration J Fan, J Yang, D Ai, L Xia, Y Zhao, X Gao, Y Wang Pattern Recognition 59, 126-141, 2016 | 47 | 2016 |
| External force back-projective composition and globally deformable optimization for 3-D coronary artery reconstruction J Yang, W Cong, Y Chen, J Fan, Y Liu, Y Wang Physics in Medicine & Biology 59 (4), 975, 2014 | 40 | 2014 |
| Fast multi-scale feature fusion for ECG heartbeat classification D Ai, J Yang, Z Wang, J Fan, C Ai, Y Wang EURASIP Journal on Advances in Signal Processing 2015, 1-11, 2015 | 36 | 2015 |
| Correlation between mammographic radiomics features and the level of tumor-infiltrating lymphocytes in patients with triple-negative breast cancer H Yu, X Meng, H Chen, X Han, J Fan, W Gao, L Du, Y Chen, Y Wang, ... Frontiers in Oncology 10, 412, 2020 | 35 | 2020 |
| Stenosis-DetNet: Sequence consistency-based stenosis detection for X-ray coronary angiography K Pang, D Ai, H Fang, J Fan, H Song, J Yang Computerized Medical Imaging and Graphics 89, 101900, 2021 | 32 | 2021 |
| 多光轴一致性检测技术进展及其分析 金伟其， 王霞， 张其扬， 姜玉华， 李雅灿， 樊凡， 范敬凡， 王宁 红外与激光工程, 526-531, 2010 | 30 | 2010 |
| Image registration using machine and deep learning X Cao, J Fan, P Dong, S Ahmad, PT Yap, D Shen Handbook of medical image computing and computer assisted intervention, 319-342, 2020 | 29 | 2020 |
| Difficulty-aware hierarchical convolutional neural networks for deformable registration of brain MR images Y Huang, S Ahmad, J Fan, D Shen, PT Yap Medical image analysis 67, 101817, 2021 | 27 | 2021 |
| Phase unwrapping based on a residual en-decoder network for phase images in Fourier domain Doppler optical coherence tomography C Wu, Z Qiao, N Zhang, X Li, J Fan, H Song, D Ai, J Yang, Y Huang Biomedical Optics Express 11 (4), 1760-1771, 2020 | 27 | 2020 |
| Retinal vessel segmentation using supervised classification based on multi-scale vessel filtering and Gabor wavelet S Tang, T Lin, J Yang, J Fan, D Ai, Y Wang Journal of medical imaging and health informatics 5 (7), 1571-1574, 2015 | 26 | 2015 |
| 3-Points Convex Hull Matching (3PCHM) for fast and robust point set registration J Fan, J Yang, F Lu, D Ai, Y Zhao, Y Wang Neurocomputing 194, 227-240, 2016 | 25 | 2016 |
| Denoising of MR and CT images using cascaded multi-supervision convolutional neural networks with progressive training H Song, L Chen, Y Cui, Q Li, Q Wang, J Fan, J Yang, L Zhang Neurocomputing 469, 354-365, 2022 | 24 | 2022 |
| Predicting the level of tumor-infiltrating lymphocytes in patients with breast cancer: usefulness of mammographic radiomics features H Yu, X Meng, H Chen, J Liu, W Gao, L Du, Y Chen, Y Wang, X Liu, B Liu, ... Frontiers in Oncology 11, 628577, 2021 | 23 | 2021 |
Hong Song（宋红）Professor, Beijing institute of Technology（北京理工大学）在 bit.edu.cn 的电子邮件经过验证
