Mingtao Liu

18 papers Journal 10Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
A semantic-aware GNN malicious node detection framework via training-bias timing-sequence modeling over centralized federated learning.
Inf. Sci.
Chen Liang, Mingtao Liu, Thar Baker, Lu Li, Yu-an Tan, Yuanzhang Li, Lu Liu, Hongyi Liu
2026 J jnl
RobustOVS: open-vocabulary segmentation with robustly semantic-assisted calibration.
Multim. Syst.
Ruihan Wang, Guodong Wang, Mingtao Liu
2026 J jnl
Source-Free Domain Adaptive Fundus Image Segmentation With Multiscale Feature Fusion and Stepwise Attention Integration.
Int. J. Imaging Syst. Technol.
Mingtao Liu, Yuxuan Li, Qingyun Huo, Zhengfei Li, Shunbo Hu, Qingman Ge
2025 J jnl
A Novel Edge-Enhanced Networks for Optic Disc and Optic Cup Segmentation.
Int. J. Imaging Syst. Technol.
Mingtao Liu, Yunyu Wang, Yuxuan Li, Shunbo Hu, Guodong Wang, Jing Wang
2024 J jnl
IMFF-Net: An integrated multi-scale feature fusion network for accurate retinal vessel segmentation from fundus images.
Biomed. Signal Process. Control.
Mingtao Liu, Yunyu Wang, Lei Wang, Shunbo Hu, Xing Wang, Qingman Ge
2024 — conf
LPRNet Improvement for License Plate Recognition in Complex Environments.
ICDLT
Haoran Yang, Yunyu Wang, Zongqiang Xia, Xiu Guo, Yuxuan Li, Ange Lucrecia Malamba Onanga, Mingtao Liu, Xin Zhang
2024 — conf
Multi-Sensor Fusion for Fall Detection and Early Warning: Overcoming Camera Blind Spots.
EITCE
Yehong Zhao, Junwen Deng, Mingyue Zhang, Huan Liu, Mingtao Liu, Jinmei Li
2023 J jnl
MBUTransNet: multi-branch U-shaped network fusion transformer architecture for medical image segmentation.
Int. J. Comput. Assist. Radiol. Surg.
Junbo Qiao, Xing Wang, Ji Chen, Mingtao Liu
2023 J jnl
The Successive Next Network as Augmented Regularization for Deformable Brain MR Image Registration.
Sensors
Meng Li, Shunbo Hu, Guoqiang Li, Fuchun Zhang, Jitao Li, Yue Yang, Lintao Zhang, Mingtao Liu, Yan Xu, Deqian Fu, Wenyin Zhang, Xing Wang
2022 J jnl
Allocation of Resources for Cloud Survivability in Smart Manufacturing.
ACM Trans. Manag. Inf. Syst.
Mengxin Nong, Lingfeng Huang, Mingtao Liu
2021 — conf
GLM-Net: A multi-scale image segmentation network for brain abnormalities based on GLCM.
CISP-BMEI
Fuchun Zhang, Yuwen Wang, Liang Wu, Mingtao Liu, Shunbo Hu, Meng Li
2020 J jnl
Brain Deformable Registration Using Global and Local Label-Driven Deep Regression Learning in the First Year of Life.
IEEE Access
Shunbo Hu, Lintao Zhang, Guoqiang Li, Mingtao Liu, Deqian Fu, Wenyin Zhang
2020 — conf
Prediction Model and Application Case of Rock Drillability based on Acoustic Velocity.
EEET
Bo Zhou, Xun Chen, Ximo Qu, Jie Wang, Mingtao Liu, Qingming Li, Guang Yang, Sheng Han
2019 — conf
Adversarial Network with Dual U-net Model and Multiresolution Loss Computation for Medical Images Registration.
CISP-BMEI
Guoqiang Li, Lintao Zhang, Shunbo Hu, Deqian Fu, Mingtao Liu
2019 — conf
Infant Brain Deformable Registration Using Global and Local Label-Driven Deep Regression Learning.
MLMI@MICCAI
Shunbo Hu, Lintao Zhang, Guoqiang Li, Mingtao Liu, Deqian Fu, Wenyin Zhang
2019 — conf
Non-Rigid Joint Registration for Multi-Contrast MR of Infant Brain Based on the Unsupervised Deep Regression Network.
CISP-BMEI
Lintao Zhang, Guoqiang Li, Deqian Fu, Wenyin Zhang, Mingtao Liu, Shunbo Hu
2017 J jnl
An Ontology-Based Approach for Marine Geochemical Data Interoperation.
IEEE Access
Xiaohong Wang, Jianliang Xu, Mingtao Liu, Zhiqiang Wei, Wenrui Bu, Tenglong Hong
2016 — conf
Semantic Mediation of Metadata for Marine Geochemical Data Integration.
KMO
Xiaohong Wang, Tenglong Hong, Jianliang Xu, Mingtao Liu, Hongtao Liang