Yijie Li

Orcid: 0009-0002-4563-4173

Affiliations:
  • University of Electronic Science and Technology of China (UESTC), School of Information and Communication Engineering, China


According to our database1, Yijie Li authored at least 9 papers between 2024 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
TractoRC: A Unified Probabilistic Learning Framework for Joint Tractography Registration and Clustering.
CoRR, March, 2026

AGFS-tractometry: A novel atlas-guided fine-scale tractometry approach for enhanced along-tract group statistical comparison using diffusion MRI tractography.
Medical Image Anal., 2026

DDTracking: A diffusion model-based deep generative framework with local-global spatiotemporal modeling for diffusion MRI tractography.
Medical Image Anal., 2026

2025
DMVFC: Deep Learning Based Functionally Consistent Tractography Fiber Clustering Using Multimodal Diffusion MRI and Functional MRI.
IEEE J. Sel. Top. Signal Process., December, 2025

Cross-Population White Matter Atlas Creation for Concurrent Mapping of Brain Connections in Neonates and Adults with Diffusion MRI Tractography.
CoRR, December, 2025

DDTracking: A Deep Generative Framework for Diffusion MRI Tractography with Streamline Local-Global Spatiotemporal Modeling.
CoRR, August, 2025

A Novel Streamline-Based Diffusion MRI Tractography Registration Method with Probabilistic Keypoint Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

A Novel Deep Learning Tractography Fiber Clustering Framework for Functionally Consistent White Matter Parcellation Using Multimodal Diffusion MRI and Functional MRI.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024
When Diffusion MRI Meets Diffusion Model: A Novel Deep Generative Model for Diffusion MRI Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024


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