Yusheng Liu

Orcid: 0009-0004-2624-9223

Affiliations:
  • Shanghai Jiao Tong University, Shanghai, China


According to our database1, Yusheng Liu authored at least 10 papers between 2022 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Segmenting the Inferior Alveolar Canal in CBCTs Volumes: The ToothFairy Challenge.
IEEE Trans. Medical Imaging, April, 2025

Individual Graph Representation Learning for Pediatric Tooth Segmentation From Dental CBCT.
IEEE Trans. Medical Imaging, March, 2025

2024
Inferior Alveolar Nerve Segmentation in CBCT Images Using Connectivity-Based Selective Re-training.
Proceedings of the Supervised and Semi-supervised Multi-structure Segmentation and Landmark Detection in Dental Data, 2024

Enhanced Multi-structure Segmentation in CBCT Images with Adaptive Structure Optimization.
Proceedings of the Supervised and Semi-supervised Multi-structure Segmentation and Landmark Detection in Dental Data, 2024

Two-Stage Semi-supervised nnU-Net Framework for Tooth Segmentation in CBCT Images.
Proceedings of the Supervised and Semi-supervised Multi-structure Segmentation and Landmark Detection in Dental Data, 2024

A Two-Stage Semi-supervised nnU-Net Model for Automated Tooth Segmentation in Panoramic X-Ray Images.
Proceedings of the Supervised and Semi-supervised Multi-structure Segmentation and Landmark Detection in Dental Data, 2024

2023
Intergrated Segmentation and Detection Models for Dentex Challenge 2023.
CoRR, 2023

MBD-Net: Multi-Branch Dilated Convolutional Network With Cyst Discriminator for Renal Multi-Structure Segmentation.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
A Multi-Stage Framework for the 2022 Multi-Structure Segmentation for Renal Cancer Treatment.
CoRR, 2022

A CNN-Based Multi-stage Framework for Renal Multi-structure Segmentation.
Proceedings of the Lesion Segmentation in Surgical and Diagnostic Applications, 2022


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