中国科学院计算技术研究所机构知识库

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限定条件	作者：Zhou, S. Kevin    第一作者

已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择期刊影响因子升序期刊影响因子降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序WOS被引频次升序WOS被引频次降序题名升序题名降序
	Semi-Supervised CT Lesion Segmentation Using Uncertainty-Based Data Pairing and SwapMix 期刊论文 IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023, 卷号: 42, 期号: 5, 页码: 1546-1562 作者:  Qiao, Pengchong;  Li, Han;  Song, Guoli;  Han, Hu;  Gao, Zhiqiang;  Tian, Yonghong;  Liang, Yongsheng;  Li, Xi;  Zhou, S. Kevin;  Chen, Jie 收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04 Lesions  Image segmentation  Computed tomography  Uncertainty  Training  Predictive models  Data models  Semi-supervised learning  lesion segmentation  unreliable pseudo labels
	GAN-based disentanglement learning for chest X-ray rib suppression 期刊论文 MEDICAL IMAGE ANALYSIS, 2022, 卷号: 77, 页码: 14 作者:  Han, Luyi;  Lyu, Yuanyuan;  Peng, Cheng;  Zhou, S. Kevin 收藏  |  浏览/下载：22/0  |  提交时间：2022/12/07 CXR Rib suppression  Domain adaptation  Disentanglement learning
	DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography 期刊论文 MEDICAL IMAGE ANALYSIS, 2022, 卷号: 75, 页码: 10 作者:  Zhou, Bo;  Chen, Xiongchao;  Zhou, S. Kevin;  Duncan, James S.;  Liu, Chi 收藏  |  浏览/下载：24/0  |  提交时间：2022/06/21 Sparse view  Metal artifact  Computed tomography  Recurrent network  Dual-domain network  Data consistency
	A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises 期刊论文 PROCEEDINGS OF THE IEEE, 2021, 卷号: 109, 期号: 5, 页码: 820-838 作者:  Zhou, S. Kevin;  Greenspan, Hayit;  Davatzikos, Christos;  Duncan, James S.;  Van Ginneken, Bram;  Madabhushi, Anant;  Prince, Jerry L.;  Rueckert, Daniel;  Summers, Ronald M. 收藏  |  浏览/下载：34/0  |  提交时间：2021/12/01 Imaging  Medical diagnostic imaging  Image segmentation  Diseases  Task analysis  Medical services  Computed tomography  Deep learning (DL)  medical imaging  survey
	ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction 期刊论文 IEEE TRANSACTIONS ON MEDICAL IMAGING, 2020, 卷号: 39, 期号: 3, 页码: 634-643 作者:  Liao, Haofu;  Lin, Wei-An;  Zhou, S. Kevin;  Luo, Jiebo 收藏  |  浏览/下载：44/0  |  提交时间：2020/12/10 Metals  Computed tomography  Decoding  Mars  X-ray imaging  Image reconstruction  Training  Image enhancement  restoration (noise and artifact reduction)  neural network  X-ray imaging  computed tomography