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Yaoting Yue
Department: 
Department of Biomedical Engineering
Office: 
No. 2 Interdisciplinary Building B5010
Title: 
Postdoc
Email: 
tingyaoyue@fudan.edu.cn

Education and Work Background

● 2022.12-present: Fudan University, Biomedical Engineering Mobile Station, Postdoctoral Fellow (Co-supervisor: Professor Dean Ta)

● 2019.09-2022.12: Fudan University, School of Information Science and Technology, Biomedical Engineering, Doctor of Engineering (Supervisor: Professor Dean Ta

● 2018.07-2019.08: Fudan University, Human Phenome Institute, Research Assistant

● 2015.09-2018.07: Yunnan University, School of Information Science, Computer Application Technology, Master of Engineering (Supervisor: Professor Shunfang Wang)

● 2011.09-2015.07: Minzu University of China, College of Science, Information and Computational Science, Bachelor of Science

Research Direction

● Medical Ultrasound imaging

● Medical Image Processing

● Deep Learning

Scientific Research Project

● Host, National Natural Science Foundation of China Youth Project, “Study on Ultrasonic High Spatiotemporal Resolution Imaging Methods of Multilayer Complex Biological Tissues” (Grant No. 12304510).

● Host, The 74th Batch General Financial Grant Project of China Postdoctoral Science Foundation, “Study on High Spatiotemporal Resolution Ultrasound Imaging and Information Mining of Heterogeneous Biological Tissues” (Grant No. 2023M740723).

● Participant, National Natural Science Foundation of China, “Evaluation of Complex Equivalence and Statistical Inference under Clinical Data Cross-Design” (Grant No. 11661081). 

● Participant, National Natural Science Foundation of China, “Feature Extraction and Application of Gene Expression Profiles Based on PCNN Pulse Time Coding” (Grant No. 61640306).

● Participant, Project of Yunnan Provincial Education Department, “Pulse-Coupled Neural Network Theory and Its Application in Similarity Analysis” (Grant No. 2017YJS108).

● Participant, Key Project of Yunnan Provincial Science and Technology Department, “Research on Data Dimensionality Reduction Algorithms in Protein Classification Prediction” (Grant No. 2017FA032).

Representative Papers

[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. (# Co-First Authorship with Supervisor)

[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.

Patents

Dean Ta,Yaoting Yue,Shaoli Song. An Approach for Esophageal Gross Tumor Volume Segmentation Based on Cross-Modal PET/CT Image Feature Fusion, Invention Patent, 202310109050.2.