Mingyuan Luo

Orcid: 0009-0006-8101-2151

According to our database1, Mingyuan Luo authored at least 25 papers between 2019 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
FetusMapV2: Enhanced fetal pose estimation in 3D ultrasound.
Medical Image Anal., January, 2024

Fine-Grained Context and Multi-modal Alignment for Freehand 3D Ultrasound Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

A Novel Multi-task-learning Framework of Dementia Diseases Diagnosis based on Synthesized Arterial Spin Labeling Images.
Proceedings of the 2024 4th International Conference on Internet of Things and Machine Learning, 2024

SCTrans: Constructing a Large Public Scenario Dataset for Simulation Testing of Autonomous Driving Systems.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023
RecON: Online learning for sensorless freehand 3D ultrasound reconstruction.
Medical Image Anal., 2023

FetusMapV2: Enhanced Fetal Pose Estimation in 3D Ultrasound.
CoRR, 2023

Multi-IMU with Online Self-consistency for Freehand 3D Ultrasound Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
A novel locally-constrained GAN-based ensemble to synthesize arterial spin labeling images.
Inf. Sci., 2022

HASA: Hybrid architecture search with aggregation strategy for echinococcosis classification and ovary segmentation in ultrasound images.
Expert Syst. Appl., 2022

Deep Motion Network for Freehand 3D Ultrasound Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Fine-Grained Correlation Loss for Regression.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
A novel multi-loss-based deep adversarial network for handling challenging cases in semi-supervised image semantic segmentation.
Pattern Recognit. Lett., 2021

Full-scaled deep metric learning for pedestrian re-identification.
Multim. Tools Appl., 2021

A new VAE-GAN model to synthesize arterial spin labeling images from structural MRI.
Displays, 2021

A Novel Multi-Feature Joint Learning Ensemble Framework for Multi-Label Facial Expression Recognition.
IEEE Access, 2021

Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Arterial Spin Labeling Image Synthesis From Structural MRI Using Improved Capsule-Based Networks.
IEEE Access, 2020

Style-Invariant Cardiac Image Segmentation with Test-Time Augmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

2019
Arterial Spin Labeling Images Synthesis From sMRI Using Unbalanced Deep Discriminant Learning.
IEEE Trans. Medical Imaging, 2019

A novel deep residual network-based incomplete information competition strategy for four-players Mahjong games.
Multim. Tools Appl., 2019

Video-Based Abnormal Driving Behavior Detection via Deep Learning Fusions.
IEEE Access, 2019

Novel Bi-directional Images Synthesis Based on WGAN-GP with GMM-Based Noise Generation.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Arterial Spin Labeling Images Synthesis via Locally-Constrained WGAN-GP Ensemble.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deep Learning-based Pavement Cracks Detection via Wireless Visible Light Camera-based Network.
Proceedings of the Computing, Communications and IoT Applications, ComComAp 2019, Shenzhen, 2019

Deep Discriminant Learning-based Asphalt Road Cracks Detection via Wireless Camera Network.
Proceedings of the Computing, Communications and IoT Applications, ComComAp 2019, Shenzhen, 2019


  Loading...