| Comparison of transferred deep neural networks in ultrasonic breast masses discrimination T Xiao, L Liu, K Li, W Qin, S Yu, Z Li BioMed research international 2018 (1), 4605191, 2018 | 162 | 2018 |
| Prostate cancer classification with multiparametric MRI transfer learning model Y Yuan, W Qin, M Buyyounouski, B Ibragimov, S Hancock, B Han, L Xing Medical physics 46 (2), 756-765, 2019 | 130 | 2019 |
| Superpixel-based and boundary-sensitive convolutional neural network for automated liver segmentation W Qin, J Wu, F Han, Y Yuan, W Zhao, B Ibragimov, J Gu, L Xing Physics in Medicine & Biology 63 (9), 095017, 2018 | 109 | 2018 |
| Magnetic resonance image (MRI) synthesis from brain computed tomography (CT) images based on deep learning methods for magnetic resonance (MR)-guided radiotherapy W Li, Y Li, W Qin, X Liang, J Xu, J Xiong, Y Xie Quantitative imaging in medicine and surgery 10 (6), 1223, 2020 | 97 | 2020 |
| An approach for noninvasive blood glucose monitoring based on bioimpedance difference considering blood volume pulsation J Li, T Igbe, Y Liu, Z Nie, W Qin, L Wang, Y Hao IEEE Access 6, 51119-51129, 2018 | 65 | 2018 |
| An accurate and effective FMM-based approach for freehand 3D ultrasound reconstruction T Wen, Q Zhu, W Qin, L Li, F Yang, Y Xie, J Gu Biomedical Signal Processing and Control 8 (6), 645-656, 2013 | 51 | 2013 |
| Air quality data clustering using EPLS method Y Chen, L Wang, F Li, B Du, KKR Choo, H Hassan, W Qin Information Fusion 36, 225-232, 2017 | 47 | 2017 |
| Automated breast tumor detection and segmentation with a novel computational framework of whole ultrasound images L Liu, K Li, W Qin, T Wen, L Li, J Wu, J Gu Medical & biological engineering & computing 56, 183-199, 2018 | 46 | 2018 |
| Densely connected neural network with unbalanced discriminant and category sensitive constraints for polyp recognition Y Yuan, W Qin, B Ibragimov, G Zhang, B Han, MQH Meng, L Xing IEEE transactions on automation science and engineering 17 (2), 574-583, 2019 | 44 | 2019 |
| Reconstruction of freehand 3D ultrasound based on kernel regression X Chen, T Wen, X Li, W Qin, D Lan, W Pan, J Gu Biomedical engineering online 13, 1-15, 2014 | 44 | 2014 |
| Prostate segmentation with encoder-decoder densely connected convolutional network (Ed-Densenet) Y Yuan, W Qin, X Guo, M Buyyounouski, S Hancock, B Han, L Xing 2019 IEEE 16th international symposium on biomedical imaging (ISBI 2019 …, 2019 | 35 | 2019 |
| Computer-aided pathologic diagnosis of nasopharyngeal carcinoma based on deep learning S Diao, J Hou, H Yu, X Zhao, Y Sun, RL Lambo, Y Xie, L Liu, W Qin, ... The American journal of pathology 190 (8), 1691-1700, 2020 | 33 | 2020 |
| A shape-optimized framework for kidney segmentation in ultrasound images using NLTV denoising and DRLSE F Yang, W Qin, Y Xie, T Wen, J Gu Biomedical engineering online 11, 1-13, 2012 | 33 | 2012 |
| RIIS-DenseNet: rotation-invariant and image similarity constrained densely connected convolutional network for polyp detection Y Yuan, W Qin, B Ibragimov, B Han, L Xing Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 32 | 2018 |
| A new approach to detecting ulcer and bleeding in Wireless capsule endoscopy images X Liu, J Gu, Y Xie, J Xiong, W Qin Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and …, 2012 | 32 | 2012 |
| Segmentation of abdomen MR images using kernel graph cuts with shape priors Q Luo, W Qin, T Wen, J Gu, N Gaio, S Chen, L Li, Y Xie Biomedical engineering online 12, 1-19, 2013 | 25 | 2013 |
| Artificial intelligence in image-guided radiotherapy: a review of treatment target localization W Zhao, L Shen, MT Islam, W Qin, Z Zhang, X Liang, G Zhang, S Xu, X Li Quantitative Imaging in Medicine and Surgery 11 (12), 4881, 2021 | 24 | 2021 |
| Dose prediction via distance-guided deep learning: Initial development for nasopharyngeal carcinoma radiotherapy M Yue, X Xue, Z Wang, RL Lambo, W Zhao, Y Xie, J Cai, W Qin Radiotherapy and Oncology 170, 198-204, 2022 | 23 | 2022 |
| Robust beam hardening artifacts reduction for computed tomography using spectrum modeling W Zhao, D Li, K Niu, W Qin, H Peng, T Niu IEEE Transactions on Computational Imaging 5 (2), 333-342, 2018 | 22 | 2018 |
| Weakly supervised framework for cancer region detection of hepatocellular carcinoma in whole-slide pathologic images based on multiscale attention convolutional neural network S Diao, Y Tian, W Hu, J Hou, R Lambo, Z Zhang, Y Xie, X Nie, F Zhang, ... The American journal of pathology 192 (3), 553-563, 2022 | 21 | 2022 |
Xiaokun Liang (梁晓坤)Shenzhen Institute of Advanced Technology, Chinese Academy of SciencesVerified email at siat.ac.cn