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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Meng Wang, Huiyan Jiang*, Tianyu Shi, Yu-dong Yao. SCL-Net: Structured Collaborative Learning for PET/CT Based Tumor Segmentation[J]. IEEE Journal of Biomedical and Health Informatics (JBHI). 27(2):1048-1059, 2023. doi: 10.1109/JBHI.2022.3226475. 2023.02.04.(SCI; IF: 7.021, JCR1区,中科院1区,Top期刊). (学生第一, 通讯作者)
- 发布时间:2024-06-02
- 点击次数:
论文名称:
Meng Wang, Huiyan Jiang*, Tianyu Shi, Yu-dong Yao. SCL-Net: Structured Collaborative Learning for PET/CT Based Tumor Segmentation[J]. IEEE Journal of Biomedical and Health Informatics (JBHI). 27(2):1048-1059, 2023. doi: 10.1109/JBHI.2022.3226475. 2023.02.04.(SCI; IF: 7.021, JCR1区,中科院1区,Top期刊). (学生第一, 通讯作者)是否译文:
否
- 上一条:Zhaoshuo Diao, Huiyan Jiang*, Tianyu Shi, Yu-Dong Yao. Siamese Semi-Disentanglement Network for Robust PET-CT Segmentation[J]. Expert Systems With Applications (ESWA). 119855. DOI:https://authors.elsevier.com/sd/article/S0957-4174(23)00356-1.2023.03.11. (SCI;IF:8.665, JCR 1区, 中科院1区,Top期刊.). (学生第一, 通讯作者)
- 下一条:Zhaoshuo Diao, Huiyan Jiang*, Tianyu Shi. A unified uncertainty network for tumor segmentation using uncertainty cross entropy loss and prototype similarity[J]. Knowledge-Based Systems (KNOSYS). 246(2022), 108739: 1-14. https://doi.org/10.1016/j.knosys.2022.108739. (SCI: ; IF: 8.038, JCR 1区, 中科院 1区,Top期刊). (学生第一,通讯作者) .
