Yuhuan Lu

Orcid: 0000-0002-9141-3032

Affiliations:
  • Hunan University, College of Computer Science and Electronic Engineering, Changsha, China


According to our database1, Yuhuan Lu authored at least 10 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
CMIS: A Class-Aware Multi-Structure Instance Segmentation Model for Fetal Brain Ultrasound Images With Fuzzy Region-Based Constraints.
IEEE J. Biomed. Health Informatics, February, 2026

2025
Optical Flow-Enhanced Mamba U-Net for Cardiac Phase Detection in Ultrasound Videos.
IEEE Trans. Medical Imaging, July, 2025

AP-Net: Semi-Supervised Ultrasound Cardiac Segmentation Using Enhanced Anatomical Prior.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
SKGC: A General Semantic-Level Knowledge Guided Classification Framework for Fetal Congenital Heart Disease.
IEEE J. Biomed. Health Informatics, October, 2024

HFSCCD: A Hybrid Neural Network for Fetal Standard Cardiac Cycle Detection in Ultrasound Videos.
IEEE J. Biomed. Health Informatics, May, 2024

A Fast Hybrid Feature Selection Method Based on Dynamic Clustering and Improved Particle Swarm Optimization for High-Dimensional Health Care Data.
IEEE Trans. Consumer Electron., February, 2024

A YOLOX-Based Deep Instance Segmentation Neural Network for Cardiac Anatomical Structures in Fetal Ultrasound Images.
IEEE Trans. Comput. Biol. Bioinform., 2024

Unsupervised Ultrasound Image Quality Assessment with Score Consistency and Relativity Co-learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Fetal Cardiac Structure Detection Using Multi-task Learning.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

2022
MobileUNet-FPN: A Semantic Segmentation Model for Fetal Ultrasound Four-Chamber Segmentation in Edge Computing Environments.
IEEE J. Biomed. Health Informatics, 2022


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