论文成果
- 1屠睿博.陈中华,王洪凯.基于随机森林算法的小鼠micro-CT影像中骨骼关节特征点定位.[J].中国生物医学工程学报,2017,36(3):257-266.
- 2王洪凯.刘惠,邱天爽.《医学图像处理》课程实践性教学研究与探索.[J].教育教学论坛,2017,(3):132-133.
- 3Wang, Hongkai.Sun, Xiaobang,Huo, Li,Tang, Xin,Liu, Changjian.Construction of Deformable Trunk Atlas of Chinese Human Based on Multiple PET/CT Images: Preliminary Results.[A].2017,1028669-77.
- 4邱天爽.刘蓉,王洪凯,唐洪,刘海龙,刘惠,齐莉萍,朱勇.工程认证背景下"信号与系统"课程特点与教学策略探讨——以生物医学工程专业为例.[J].工业和信息化教育,2017,(8):52-56.
- 5Wang, Hongkai.Yang, Jia,Tan, Ziyu,Hui, Libo,Liu, Yue,Pan, Hang,Qu, Yue,Chen, Zhaofeng,Tan, Liwen,Yu, Lijuan,Shi, Hongcheng,Sun, Xiaobang,Huo, Li,Zhang, Yanjun,Tang, Xin,Zhang, Shaoxiang,Liu, Changjian,Wu, Tongning,Li, Congsheng,Chen, Zhonghua,Liao, Meiying,Li, Mengci,Yan, Wen,Huang, Hui.Deformable torso phantoms of Chinese adults for personalized anatomy modelling..[J].Journal of anatomy,2018,233(1):121-134.
- 6王洪凯.陈中华,周纵苇,李迎辞,陆佩欧,王文志,刘宛予,于丽娟.机器学习算法诊断PET/CT纵膈淋巴结性能评估.[J].浙江大学学报(工学版),2018,52(4):788-797.
- 7王洪凯.A Deformable Atlas of the Laboratory Mouse.[J].Molecular Imaging and Biology,2015,17(1):18-28.
- 8王洪凯.Evaluation of different atlas selection strategies for multi-atlas segmentation of low-dose CT images of wholebody PET/CT.[A].2017,
- 9王洪凯.Comparison of machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer from 18F-FDG PET/CT images.[J].EJNMMI Research,2017,7(11):1-11.
- 10王洪凯.张宾.Evaluation of different atlas selection strategies for multi-atlas segmentation of low-dose computed tomographic images of whole-body positron emission tomography/computed tomography.[J].Digital Medicine,2017,3(4):186-192.