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Automatic Robotic Cranium-Milling: A Motion Control Study of In Vitro Animal Experiments 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2024, 页码: 1-14
作者:  Bian GB(边桂彬);  Qian C(钱琛);  Li Z(李桢);  Ye Q(叶强);  Ge PC(葛培聪);  Zhao JZ(赵继宗)
Adobe PDF(2827Kb)  |  收藏  |  浏览/下载：44/10  |  提交时间：2024/05/28
Autonomous craniotomy robot  model-free adaptive nonlinear force control  skull-milling breakthrough detection  in vitro animal experiments  
Robotic Automatic Drilling for Craniotomy: Algorithms and In Vitro Animal Experiments 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 页码: 12
作者:  Bian, Gui-Bin;  Wei, Bing-Ting;  Li, Zhen;  Ge, Peicong;  Chen, Zhang;  Qian, Chen;  Wang, Jie;  Fu, Pan;  Zhao, Jizong
Adobe PDF(2827Kb)  |  收藏  |  浏览/下载：130/11  |  提交时间：2023/11/17
Drilling  Robots  Force  Robot sensing systems  Skull  Feeds  Service robots  Autonomous drilling  craniotomy robot  feed velocity and force constraint control  in vitro experiment  skull-dura boundary detection  
FedBrain: A robust multi-site brain network analysis framework based on federated learning for brain disease diagnosis 期刊论文
NEUROCOMPUTING, 2023, 卷号: 559, 页码: 13
作者:  Zhang, Chang;  Meng, Xiangzhu;  Liu, Qiang;  Wu, Shu;  Wang, Liang;  Ning, Huansheng
Adobe PDF(3483Kb)  |  收藏  |  浏览/下载：137/2  |  提交时间：2023/11/16
Functional magnetic resonance image  Brain network  Federated learning  Deep neural networks  Brain disease diagnosis  
Adaptable Global Network for Whole-Brain Segmentation with Symmetry Consistency Loss 期刊论文
COGNITIVE COMPUTATION, 2022, 页码: 14
作者:  Zhao, Yuan-Xing;  Zhang, Yan-Ming;  Song, Ming;  Liu, Cheng-Lin
Adobe PDF(2496Kb)  |  收藏  |  浏览/下载：323/89  |  提交时间：2022/07/25
Whole-brain segmentation  Adaptable global network  Semi-supervised learning  Symmetry consistency loss  
A multi-task two-path deep learning system for predicting the invasiveness of craniopharyngioma 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2022, 卷号: 216, 页码: 13
作者:  Zhu, Lin;  Zhang, Lingling;  Hu, Wenxing;  Chen, Haixu;  Li, Han;  Wei, Shoushui;  Chen, Xuzhu;  Ma, Xibo
收藏  |  浏览/下载：235/0  |  提交时间：2022/06/06
Craniopharyngioma  MRI Imaging  Deep learning  Invasiveness diagnosis  Lesion segmentation  
Application of Artificial Intelligence in Diagnosis of Craniopharyngioma 期刊论文
FRONTIERS IN NEUROLOGY, 2022, 卷号: 12, 页码: 16
作者:  Qin, Caijie;  Hu, Wenxing;  Wang, Xinsheng;  Ma, Xibo
收藏  |  浏览/下载：176/0  |  提交时间：2022/03/17
craniopharyngioma  tumor  diagnosis  machine learning  deep learning  
Hierarchical Fused Model With Deep Learning and Type-2 Fuzzy Learning for Breast Cancer Diagnosis 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 卷号: 28, 期号: 12, 页码: 3204-3218
作者:  Shen, Tianyu;  Wang, Jiangong;  Gou, Chao;  Wang, Fei-Yue
Adobe PDF(3530Kb)  |  收藏  |  浏览/下载：334/74  |  提交时间：2021/03/02
Image segmentation  Biomedical imaging  Fuzzy sets  Breast cancer  Breast cancer  deep learning (DL)  fuzzy classifier (FC)  interval type-2 possibilistic fuzzy c-means (IT2PFCM)  
Brain Tumor Segmentation Using a Fully Convolutional Neural Network with Conditional Random Fields 会议论文
, Athens, Greece, 2016-10
作者:  Zhao, Xiaomei;  Wu, Yihong;  Song, Guidong;  Li, Zhenye;  Fan, Yong;  Zhang, Yazhuo
浏览  |  Adobe PDF(1784Kb)  |  收藏  |  浏览/下载：275/66  |  提交时间：2020/05/07
Brain Tumor Segmentation  Magnetic Resonance Image  Fully Convolutional Neural Network  Conditional Random Fields  Recurrent Neural Network  
Radiogenomic analysis of vascular endothelial growth factor in patients with diffuse gliomas 期刊论文
CANCER IMAGING, 2019, 卷号: 19, 期号: 1, 页码: 8
作者:  Sun, Zhiyan;  Li, Yiming;  Wang, Yinyan;  Fan, Xing;  Xu, Kaibin;  Wang, Kai;  Li, Shaowu;  Zhang, Zhong;  Jiang, Tao;  Liu, Xing
收藏  |  浏览/下载：240/0  |  提交时间：2020/03/30
Vascular endothelial growth factor  Diffuse gliomas  Radiomic analysis  Machine learning  
Simultaneous Segmentation and Classification of Mass Region From Mammograms Using a Mixed-Supervision Guided Deep Model 期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2020, 卷号: 27, 期号: 0, 页码: 196-200
作者:  Shen, Tianyu;  Gou, Chao;  Wang, Jiangong;  Wang, Fei-Yue
Adobe PDF(1640Kb)  |  收藏  |  浏览/下载：415/64  |  提交时间：2020/03/30
Mixed-supervision  deep learning  segmentation and classification  mammogram