张永涛，博士，深圳大学医学部博士后。曾访学香港中文大学计算机科学与工程学系。长期以来从事医学图像分析的研究工作，主要研究方向：医学图像计算-胃癌智能诊断。研究成果主要发表在Medical Image Analysis, IEEE Transactions on Medical Imaging, IEEE Transactions on Affective Computing, Cancer Imaging, Frontiers in Oncology等高水平期刊。担任Artificial Intelligencein Medicine、Scientific Reports等期刊审稿人。

1.智能医学图像分析

2.肿瘤分割与识别

3.多模态影像处理

[P1]汪天富，张永涛，马国林，雷柏英，李海梅，刘冰，付超，韩小伟，杜雷，高文文，陈悦，刘秀秀，王依格，“一种基于深度卷积神经网络的病灶图像分割方法及系统”，专利申请日：2020.08.07，专利号：2020107886324，公开号：CN112102321A

[1]Yongtao Zhang, H. Li, J. Du, J. Qin, T. Wang, Y. Chen, B. Liu, W. Gao, G. Ma*, B. Lei*, “3D Multi-attention Guided Multi-task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification”,IEEE Transactions on Medical Imaging, 2021, 40(6): 1618-1631 (中科院一区TOP, 2023 IF:8.9 ).

[2]YongtaoZhang, N. Yuan, Z. Zhang, J. Du, T. Wang, B. Liu, A. Yang, K. Lv, G. Ma*, and B. Lei*, “Unsupervised domain selective graph convolutional network for preoperative prediction of lymph node metastasis in gastric cancer”,Medical Image Analysis2022 79: 102467(中科院一区TOP, 2023 IF: 10.7).

[3]YongtaoZhang, Y. Pan, Y. Zhang, L. Li, L. Zhang, G. Huang, Z. Liang*, and Z. Zhang*, “Unsupervised Time-Aware Sampling Network with Deep Reinforcement Learning for EEG-Based Emotion Recognition”,Transactions on Affective Computing,2023, 15(3): 1090-1103(中科院二区, 2023 IF: 9.6).

[4] N. Yuan†,Yongtao Zhang†,K. Lv†, Y. Liu, A. Yang, P. Hu, H. Yu, X. Han, X. Guo, J. Li, T. Wang, B. Lei, G. Ma*, “HCA-DAN: Hierarchical Class-Aware Domain Adaptive Network for Gastric Tumor Segmentation in 3D CT Images”,Cancer Imaging, 2024, 24(1):63 (中科院二区, 2023 IF: 3.5).

[5]H. Li†, B. Liu†,Yongtao Zhang†, C. Fu, X. Han, L. Du, W. Gao, Y. Chen, X. Liu, Y. Wang, T. Wang, G. Ma* and B. Lei, “3D IFPN: Improved Feature Pyramid Network for Automatic Segmentation of Gastric Tumor”,Frontiers in Oncology, 2021, 11: 618496 (中科院三区, 2023 IF: 3.5).