| Computer-aided diagnosis with deep learning architecture: applications to breast lesions in US images and pulmonary nodules in CT scans JZ Cheng, D Ni, YH Chou, J Qin, CM Tiu, YC Chang, CS Huang, D Shen, ... Scientific reports 6 (1), 24454, 2016 | 972 | 2016 |
| Deep learning in medical ultrasound analysis: a review S Liu, Y Wang, X Yang, B Lei, L Liu, SX Li, D Ni, T Wang Engineering 5 (2), 261-275, 2019 | 676 | 2019 |
| Standard plane localization in fetal ultrasound via domain transferred deep neural networks H Chen, D Ni, J Qin, S Li, X Yang, T Wang, PA Heng IEEE journal of biomedical and health informatics 19 (5), 1627-1636, 2015 | 397 | 2015 |
| Accurate segmentation of cervical cytoplasm and nuclei based on multiscale convolutional network and graph partitioning Y Song, L Zhang, S Chen, D Ni, B Lei, T Wang IEEE Transactions on Biomedical Engineering 62 (10), 2421-2433, 2015 | 332 | 2015 |
| Accurate cervical cell segmentation from overlapping clumps in pap smear images Y Song, EL Tan, X Jiang, JZ Cheng, D Ni, S Chen, B Lei, T Wang IEEE transactions on medical imaging 36 (1), 288-300, 2016 | 247 | 2016 |
| A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging Z Xiong, Q Xia, Z Hu, N Huang, C Bian, Y Zheng, S Vesal, N Ravikumar, ... Medical image analysis 67, 101832, 2021 | 238 | 2021 |
| Melanoma recognition in dermoscopy images via aggregated deep convolutional features Z Yu, X Jiang, F Zhou, J Qin, D Ni, S Chen, B Lei, T Wang IEEE Transactions on Biomedical Engineering 66 (4), 1006-1016, 2018 | 227 | 2018 |
| FUIQA: fetal ultrasound image quality assessment with deep convolutional networks L Wu, JZ Cheng, S Li, B Lei, T Wang, D Ni IEEE transactions on cybernetics 47 (5), 1336-1349, 2017 | 211 | 2017 |
| Automatic fetal ultrasound standard plane detection using knowledge transferred recurrent neural networks H Chen, Q Dou, D Ni, JZ Cheng, J Qin, S Li, PA Heng Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015 | 193 | 2015 |
| Automatic localization and identification of vertebrae in spine CT via a joint learning model with deep neural networks H Chen, C Shen, J Qin, D Ni, L Shi, JCY Cheng, PA Heng Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015 | 191 | 2015 |
| Deep attentive features for prostate segmentation in 3D transrectal ultrasound Y Wang, H Dou, X Hu, L Zhu, X Yang, M Xu, J Qin, PA Heng, T Wang, ... IEEE transactions on medical imaging 38 (12), 2768-2778, 2019 | 165 | 2019 |
| Automatic scoring of multiple semantic attributes with multi-task feature leverage: a study on pulmonary nodules in CT images S Chen, J Qin, X Ji, B Lei, T Wang, D Ni, JZ Cheng IEEE transactions on medical imaging 36 (3), 802-814, 2016 | 159 | 2016 |
| Reversible watermarking scheme for medical image based on differential evolution B Lei, EL Tan, S Chen, D Ni, T Wang, H Lei Expert Systems with Applications 41 (7), 3178-3188, 2014 | 159 | 2014 |
| Ultrasound standard plane detection using a composite neural network framework H Chen, L Wu, Q Dou, J Qin, S Li, JZ Cheng, D Ni, PA Heng IEEE transactions on cybernetics 47 (6), 1576-1586, 2017 | 157 | 2017 |
| Segment anything model for medical images? Y Huang, X Yang, L Liu, H Zhou, A Chang, X Zhou, R Chen, J Yu, J Chen, ... Medical Image Analysis 92, 103061, 2024 | 150 | 2024 |
| A deep learning based framework for accurate segmentation of cervical cytoplasm and nuclei Y Song, L Zhang, S Chen, D Ni, B Li, Y Zhou, B Lei, T Wang 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 143 | 2014 |
| Dense deconvolutional network for skin lesion segmentation H Li, X He, F Zhou, Z Yu, D Ni, S Chen, T Wang, B Lei IEEE journal of biomedical and health informatics 23 (2), 527-537, 2018 | 142 | 2018 |
| Deeply-supervised networks with threshold loss for cancer detection in automated breast ultrasound Y Wang, N Wang, M Xu, J Yu, C Qin, X Luo, X Yang, T Wang, A Li, D Ni IEEE transactions on medical imaging 39 (4), 866-876, 2019 | 140 | 2019 |
| Deep attentional features for prostate segmentation in ultrasound Y Wang, Z Deng, X Hu, L Zhu, X Yang, X Xu, PA Heng, D Ni Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 134 | 2018 |
| Cascaded fully convolutional networks for automatic prenatal ultrasound image segmentation L Wu, Y Xin, S Li, T Wang, PA Heng, D Ni 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017 | 117 | 2017 |
Xin Yang (楊鑫)Assistant Professor of BME, Shenzhen University;RayShape Medical Technology;在 szu.edu.cn 的电子邮件经过验证
![Jie-Zhi Cheng [鄭介誌]](https://images.xueshu.lanfanshu.cn/citations?view_op=small_photo&user=tSpNhZcAAAAJ&citpid=17)
