成员介绍

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岳曜廷
系别: 
生物医学工程系
办公室: 
交叉二号楼B5010
职称: 
博士后
Email: 
tingyaoyue@fudan.edu.cn

教育和工作背景

● 2022.12-至今:复旦大学,生物医学工程流动站,博士后(合作导师:他得安 教授)

● 2019.09-2022.12:复旦大学,信息科学与工程学院,生物医学工程专业,工学博士(导师:他得安 教授)

● 2018.07-2019.08:复旦大学,人类表型组研究院,助理研究员

● 2015.09-2018.07:云南大学,信息学院,计算机应用技术专业,工学硕士(导师:王顺芳 教授)

● 2011.09-2015.07:中央民族大学,理学院,信息与计算科学专业,理学学士

研究方向

● 医学超声成像

● 医学图像处理

● 深度学习

科研项目

● 主持,国家自然科学基金青年项目“多层复杂生物组织的超声高分辨成像方法研究”(批准号:12304510)

● 主持,中国博士后科学基金第74批面上资助项目“异质生物组织的超声高时空分辨成像及信息挖掘方法研究”(批准号:2023M740723)

● 参与,国家自然科学基金项目“临床数据交叉设计下的复杂等效性评价及统计推断”(批准号:11661081)

● 参与,国家自然科学基金项目“基于PCNN脉冲时间编码的基因表达谱特征提取及应用研究”(批准号:61640306)

● 参与,云南省教育厅项目“脉冲耦合神经网络理论及其在相似度分析中的应用”(批准号:2017YJS108)

● 参与,云南省科技厅重点项目“蛋白质分类预测中的数据降维算法研究”(批准号:2017FA032)

代表性论文

[1] Yaoting Yue, Nan Li, Gaobo Zhang, Zhibin Zhu, Xin Liu, Shaoli Song, Dean Ta. Automatic segmentation of esophageal gross tumor volume in 18F-FDG PET/CT images via GloD-LoATUNet. Computer Methods and Programs in Biomedicine. 2023, 229(2023)107266:1-10.

[2] Yaoting Yue, Nan Li, Wenyu Xing, Gaobo Zhang, Husnain Shahid, Xin Liu, Zhibin Zhu, Shaoli Song, Dean Ta. Condition control training-based ConVMLP-ResU-Net for semantic segmentation of esophageal cancer in 18F-FDG PET/CT images. Physical and Engineering Sciences in Medicine. 2023, (2023)46:1643-1658.

[3] Yaoting Yue, Nan Li, Husnain Shahid, Dongsheng Bi, Xin Liu, Shaoli Song, Dean Ta. Gross tumor volume definition and comparative assessment for esophageal squamous cell carcinoma from 3D 18F-FDG PET/CT by deep learning-based method. Frontiers in Oncology, 2022, 12(799207):1-11.

[4] Shunfang Wang#, Yaoting Yue#. Protein Subnuclear Localization Based on a New Effective Representation and Intelligent Kernel Linear Discriminant Analysis by Dichotomous Greedy Genetic Algorithm. 2018. Plos One, 13(4):1-20. (#与导师共同一作)

[5] Wenyu Xing, Zhibin Zhu, Dongni Hou, Yaoting Yue, Fei Dai, Yifang Li, Lin Tong, Yuanlin Song, Dean Ta. CM-SegNet: A deep learning-based automatic segmentation approach for medical images by combining convolution and multilayer perceptron. Computers in Biology and Medicine, 2022, 147:105797.

[6] Husnain Shahid, Adanan Khalid, Yaoting Yue, Xin Liu, Dean Ta. Feasibility of generative adversarial network for artifact removal in experimental photoacoustic imaging. Ultrasound in Medicine and Biology, 2022, 48(8):1628-1643.

[7] Shunfang Wang, Zicheng Cao, Mingyuan Li, Yaoting Yue. G-DipC: An Improved Feature Representation Method for Short Sequence to Predict the Type of Cargo in Cell-Penetrating Peptides. IEEE/ACM Transactions on computational biology and bioinformatics, 2020, 17(3):739-747.

[8] GaoboZhang, Yaoting Yue, Fei Dai, XinLiu, Dean Ta. Transformer for Ultrafast Ultrasound Localization Microscopy. IEEE International Ultrasonics Symposium (IUS), 2022.

[9] Husnain Shahid, Yaoting Yue, Adanan Khalid, Xin Liu, Dean Ta. Batch ReNormalization Accumulated Residual U-Network for Artifacts Removal in Photoacoustic Imaging. IEEE International Ultrasonics Symposium (IUS), 2021.

[10] Yaoting Yue, Shunfang Wang. Protein Subnuclear Location Based on KLDA with Fused Kernel and Effective Fusion Representation. Proceedings of the 2017 6th ICCSNT, IEEE, pp:102-106.

[11] Yaoting Yue, Shunfang Wang. Kernel Principal Component Analysis Based on Semi-supervised Dimensionality Reduction and Its Application on Protein Subnuclear Localization. Proceedings of the 2017 10th CISP-BMEI, IEEE, pp:1-6.

[12] Yaoting Yue, Shunfang Wang. Optimizing Effective Fusion Representation by Particle Swarm Optimization Algorithm for Protein Sub-nuclear Location. Proceedings of the 2017 6th ICCSNT, IEEE, pp:79-83.

专利

[1] 他得安,岳曜廷,宋少莉。一种基于PET/CT图像跨模态特征融合的食管癌肿瘤靶区分割方法,发明专利,202310109050.2