个人信息
硕士生导师
博士生导师
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电子邮箱:
96c7a17b10aa9fed877d96c4eab0546037802fc78d8dfdfef907ac2c649ea42b3c934a8e19808432f69a3419b5977388f62677b680c437281787e5e6b95f83da832d28ad1b732085aad72fcd1cff508e6be5dc6c647d409082b2a6d2d4ab0d46168a6405cb5e40fed52025ecfee5f0c5e5100df634dd92d2f8ee282261e2c821 -
入职时间:
2002-11-20 -
学历:
博士研究生毕业 -
办公地点:
东北大学浑南校区信息馆 -
性别:
女 -
联系方式:
1e349c385e13d83daf4db6ec85d5ace16e45d31b34b6eb739aa04a402e7bd5605a2f55aeda7c6c4b21405791c8585b3c92be5976eacae8d3763100c6519cd7ecab111c069b02782e5335420b68ad3a78eeecbd99167a1a9a134603c4097b778863d4a08116b5d0f65af2dfe9ad8b130b400c550d21cc5d8fdf5058ce4391a35d -
学位:
博士 -
职称:
教授 -
在职信息:
在职 -
毕业院校:
东北大学 -
所属院系:
软件学院
其他联系方式
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邮箱:
96c7a17b10aa9fed877d96c4eab0546037802fc78d8dfdfef907ac2c649ea42b3c934a8e19808432f69a3419b5977388f62677b680c437281787e5e6b95f83da832d28ad1b732085aad72fcd1cff508e6be5dc6c647d409082b2a6d2d4ab0d46168a6405cb5e40fed52025ecfee5f0c5e5100df634dd92d2f8ee282261e2c821
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Guoyu Tong, Huiyan Jiang*, Yu-Dong Yao. SDA-UNet: A hepatic vein segmentation network based on the spatial distribution and density awareness of blood vessels[J]. Physics in Medicine and Biology (PMB). 68(3): 36623320. 2023. doi: 10.1088/1361-6560/acb199. (SCI, IF:4.174, JCR:2区), (学生第一, 通讯作者) .
- 发布时间:2024-06-02
- 点击次数:
论文名称:
Guoyu Tong, Huiyan Jiang*, Yu-Dong Yao. SDA-UNet: A hepatic vein segmentation network based on the spatial distribution and density awareness of blood vessels[J]. Physics in Medicine and Biology (PMB). 68(3): 36623320. 2023. doi: 10.1088/1361-6560/acb199. (SCI, IF:4.174, JCR:2区), (学生第一, 通讯作者) .是否译文:
否
- 上一条:Zhaoshuo Diao, Huiyan Jiang*, Tianyu Shi. A spatial squeeze and multimodal feature fusion attention network for multiple tumor segmentation from PET-CT volumes [J]. Engineering Applications of Artificial Intelligence (EAAI). 121(2023): 105955. https://doi.org/10.1016/j.engappai.2023.105955. 2023.02.10..(SCI; IF: 7.802, JCR1区). (学生第一, 通讯作者) .
- 下一条:Huiyan Jiang*, Zhaoshuo Diao, Tianyu Shi, Yang Zhou, Feiyu Wang, Wenrui Hu, Xiaolin Zhu, Shijie Luo, Guoyu Tong, Yu-Dong Yao. A Review of Multiple-lesion Recognition: Classification, Detection and Segmentation[J]. Computers in Biology and Medicine (CIBM). 157(2023):1-22,106726, 2023. https://doi.org/10.1016/j.compbiomed.2023.106726.(SCI; IF:6.698, JCR 1区), (第一/通讯作者) .
