Mingtao Liu

Orcid: 0000-0002-2000-2850

According to our database1, Mingtao Liu authored at least 19 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
RobustOVS: open-vocabulary segmentation with robustly semantic-assisted calibration.
Multim. Syst., June, 2026

Source-Free Domain Adaptive Fundus Image Segmentation With Multiscale Feature Fusion and Stepwise Attention Integration.
Int. J. Imaging Syst. Technol., January, 2026

A semantic-aware GNN malicious node detection framework via training-bias timing-sequence modeling over centralized federated learning.
Inf. Sci., 2026

Prediction of monthly Arctic sea ice concentration using physics-constrained U2-Net.
Eng. Appl. Artif. Intell., 2026

2025
A Novel Edge-Enhanced Networks for Optic Disc and Optic Cup Segmentation.
Int. J. Imaging Syst. Technol., January, 2025

2024
IMFF-Net: An integrated multi-scale feature fusion network for accurate retinal vessel segmentation from fundus images.
Biomed. Signal Process. Control., 2024

LPRNet Improvement for License Plate Recognition in Complex Environments.
Proceedings of the 2024 8th International Conference on Deep Learning Technologies, 2024

Multi-Sensor Fusion for Fall Detection and Early Warning: Overcoming Camera Blind Spots.
Proceedings of the 2024 8th International Conference on Electronic Information Technology and Computer Engineering, 2024

2023
MBUTransNet: multi-branch U-shaped network fusion transformer architecture for medical image segmentation.
Int. J. Comput. Assist. Radiol. Surg., October, 2023

The Successive Next Network as Augmented Regularization for Deformable Brain MR Image Registration.
Sensors, March, 2023

2022
Allocation of Resources for Cloud Survivability in Smart Manufacturing.
ACM Trans. Manag. Inf. Syst., December, 2022

2021
GLM-Net: A multi-scale image segmentation network for brain abnormalities based on GLCM.
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.
IEEE Access, 2020

Prediction Model and Application Case of Rock Drillability based on Acoustic Velocity.
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.
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.
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.
Proceedings of the 12th International Congress on Image and Signal Processing, 2019

2017
An Ontology-Based Approach for Marine Geochemical Data Interoperation.
IEEE Access, 2017

2016
Semantic Mediation of Metadata for Marine Geochemical Data Integration.
Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society, 2016


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