Mingtao Liu

According to our database, Mingtao Liu authored at least 13 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

IMFF-Net: An integrated multi-scale feature fusion network for accurate retinal vessel segmentation from fundus images.

Mingtao Liu, Yunyu Wang, Lei Wang, Shunbo Hu, Xing Wang, Qingman Ge

Biomed. Signal Process. Control., 2024

LPRNet Improvement for License Plate Recognition in Complex Environments.

Haoran Yang, Yunyu Wang, Zongqiang Xia, Xiu Guo, Yuxuan Li, Ange Lucrecia Malamba Onanga, Mingtao Liu, Xin Zhang

Proceedings of the 2024 8th International Conference on Deep Learning Technologies, 2024

2023

MBUTransNet: multi-branch U-shaped network fusion transformer architecture for medical image segmentation.

JunBo Qiao, Xing Wang, Ji Chen, Mingtao Liu

Int. J. Comput. Assist. Radiol. Surg., October, 2023

The Successive Next Network as Augmented Regularization for Deformable Brain MR Image Registration.

Meng Li, Shunbo Hu, Guoqiang Li, Fuchun Zhang, Jitao Li, Yue Yang, Lintao Zhang, Mingtao Liu, Yan Xu, Deqian Fu, Wenyin Zhang, Xing Wang

Sensors, March, 2023

2022

Allocation of Resources for Cloud Survivability in Smart Manufacturing.

Mengxin Nong, Lingfeng Huang, Mingtao Liu

ACM Trans. Manag. Inf. Syst., December, 2022

2021

GLM-Net: A multi-scale image segmentation network for brain abnormalities based on GLCM.

Fuchun Zhang, Yuwen Wang, Liang Wu, Mingtao Liu, Shunbo Hu, Meng Li

Proceedings of the 14th International Congress on Image and Signal Processing, 2021

2020

Brain Deformable Registration Using Global and Local Label-Driven Deep Regression Learning in the First Year of Life.

Shunbo Hu, Lintao Zhang, Guoqiang Li, Mingtao Liu, Deqian Fu, Wenyin Zhang

IEEE Access, 2020

Prediction Model and Application Case of Rock Drillability based on Acoustic Velocity.

Bo Zhou, Xun Chen, Ximo Qu, Jie Wang, Mingtao Liu, Qingming Li, Guang Yang, Sheng Han

Proceedings of the EEET 2020: 3rd International Conference on Electronics and Electrical Engineering Technology, 2020

2019

Infant Brain Deformable Registration Using Global and Local Label-Driven Deep Regression Learning.

Shunbo Hu, Lintao Zhang, Guoqiang Li, Mingtao Liu, Deqian Fu, Wenyin Zhang

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Non-Rigid Joint Registration for Multi-Contrast MR of Infant Brain Based on the Unsupervised Deep Regression Network.

Lintao Zhang, Guoqiang Li, Deqian Fu, Wenyin Zhang, Mingtao Liu, Shunbo Hu

Proceedings of the 12th International Congress on Image and Signal Processing, 2019

Adversarial Network with Dual U-net Model and Multiresolution Loss Computation for Medical Images Registration.

Guoqiang Li, Lintao Zhang, Shunbo Hu, Deqian Fu, Mingtao Liu

Proceedings of the 12th International Congress on Image and Signal Processing, 2019

2017

An Ontology-Based Approach for Marine Geochemical Data Interoperation.

Xiaohong Wang, Jianliang Xu, Mingtao Liu, Zhiqiang Wei, Wenrui Bu, Tenglong Hong

IEEE Access, 2017

2016

Semantic Mediation of Metadata for Marine Geochemical Data Integration.

Xiaohong Wang, Tenglong Hong, Jianliang Xu, Mingtao Liu, Hongtao Liang

Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society, 2016