CASIA OpenIR
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TR-GAN: Multi-session future MRI prediction with temporal recurrent generative adversarial network 期刊论文
IEEE Transactions on Medical Imaging, 2022, 卷号: vol. 41, 期号: no. 8, 页码: 1925-1937
作者:  Fan, Chen-Chen;  Peng, Liang;  Wang, Tian;  Yang, Hongjun;  Zhou, Xiao-Hu;  Ni, Zhen-Liang;  Wang, Guan’an;  Chen, Sheng;  Zhou, Yan-Jie;  Hou, Zeng-Guang
Adobe PDF(11092Kb)  |  收藏  |  浏览/下载:213/21  |  提交时间:2023/06/02
Alzheimer’s disease  magnetic resonance imaging  generative adversarial network  
DFR-Net: A Novel Multi-Task Learning Network for Real-Time Multi-Instrument Segmentation 会议论文
, 中国成都, 2021.10.20-24
作者:  Zhou, Yan-Jie;  Liu, Shi-Qi;  Xie, Xiao-Liang;  Hou, Zeng-Guang
Adobe PDF(2606Kb)  |  收藏  |  浏览/下载:221/39  |  提交时间:2022/06/14
neural networks  instrument segmentation  multi-task learning  
A Real-time Multi-functional Framework for Guidewire Morphological and Positional Analysis in Interventional X-ray Fluoroscopy 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2020, 卷号: 13, 期号: 3, 页码: 657-667
作者:  Zhou, Yan-Jie;  Xie, Xiao-Liang;  Zhou, Xiao-Hu;  Liu, Shi-Qi;  Bian, Gui-Bin;  Hou, Zeng-Guang
Adobe PDF(2854Kb)  |  收藏  |  浏览/下载:312/83  |  提交时间:2020/11/05
Deep learning  Guidewire  X-ray fluoroscopy  Segmentation and localization  Robot-assisted intervention  
A Lightweight Recurrent Attention Network for Real-Time Guidewire Segmentation and Tracking in Interventional X-Ray Fluoroscopy 会议论文
, Santiago de Compostela, Spain, 2020.08.31-09.04
作者:  Zhou, Yan-Jie;  Xie, Xiao-Liang;  Bian, Gui-Bin;  Hou, Zeng-Guang
Adobe PDF(2761Kb)  |  收藏  |  浏览/下载:181/44  |  提交时间:2022/06/14
Pyramid attention recurrent networks for real-time guidewiresegmentation and tracking in intraoperative X-ray fluoroscopy 期刊论文
Computerized Medical Imaging and Graphics, 2020, 卷号: 83, 页码: 101734
作者:  Zhou, Yan-Jie;  Xie, Xiao-Liang;  Zhou, Xiao-Hu;  Liu, Shi-Qi;  Bian, Gui-Bin;  Hou, Zeng-Guang
Adobe PDF(2211Kb)  |  收藏  |  浏览/下载:218/48  |  提交时间:2022/06/14
Guidewire  Catheter  Segmentation  Deep learning  X-ray fluoroscopy  
FRR-NET: Fast Recurrent Residual Networks for Real-Time Catheter Segmentation and Tracking in Endovascular Aneurysm Repair 会议论文
, Iowa city, USA, 2020.04.03-07
作者:  Zhou, Yan-Jie;  Xie, Xiao-Liang;  Hou, Zeng-Guang;  Bian, Gui-Bin;  Liu, Shi-Qi;  Zhou, Xiao-Hu
Adobe PDF(2567Kb)  |  收藏  |  浏览/下载:198/31  |  提交时间:2022/06/14
Catheter  Segmentation  Tracking  Deep learning  X-ray fluoroscopy