Jinglun Yu

According to our database, Jinglun Yu authored at least 9 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Real-time topology-aware M-mode OCT segmentation for robotic deep anterior lamellar keratoplasty (DALK) guidance.

Rosalinda Xiong, Jinglun Yu, Yaning Wang, Ziyi Huang, Jin U. Kang

CoRR, February, 2026

Physics-based generation of multilayer corneal OCT data via Gaussian modeling and MCML for AI-driven diagnostic and surgical guidance applications.

Jinglun Yu, Yaning Wang, Rosalinda Xiong, Ziyi Huang, Kristina Irsch, Jin U. Kang

CoRR, February, 2026

End-to-end reconstruction of OCT optical properties and speckle-reduced structural intensity via physics-based learning.

Jinglun Yu, Yaning Wang, Wenhan Guo, Yuan Gao, Yu Sun, Jin U. Kang

CoRR, February, 2026

2025

Super-Resolution Optical Coherence Tomography Using Diffusion Model-Based Plug-and-Play Priors.

Yaning Wang, Jinglun Yu, Wenhan Guo, Yu Sun, Jin U. Kang

CoRR, May, 2025

PSI3D: Plug-and-Play 3D Stochastic Inference with Slice-wise Latent Diffusion Prior.

Wenhan Guo, Jinglun Yu, Yaning Wang, Jin U. Kang, Yu Sun

Proceedings of the 59th Asilomar Conference on Signals, 2025

2023

Deep Unsupervised Phase-based 3D Incompressible Motion Estimation in Tagged-MRI.

Zhangxing Bian, Fangxu Xing, Jinglun Yu, Muhan Shao, Yihao Liu, Aaron Carass, Jonghye Woo, Jerry L. Prince

CoRR, 2023

New starting point registration method for tagged MRI tongue motion estimation.

Jinglun Yu, Muhan Shao, Zhangxing Bian, Xiao Liang, Jiachen Zhuo, Maureen Stone, Jerry L. Prince

Proceedings of the Medical Imaging 2023: Image Processing, 2023

DRIMET: Deep Registration-based 3D Incompressible Motion Estimation in Tagged-MRI with Application to the Tongue.

Zhangxing Bian, Fangxu Xing, Jinglun Yu, Muhan Shao, Yihao Liu, Aaron Carass, Jonghye Woo, Jerry L. Prince

Proceedings of the Medical Imaging with Deep Learning, 2023

2020

The Path Planning of Mobile Robot by Neural Networks and Hierarchical Reinforcement Learning.

Jinglun Yu, Yuancheng Su, Yifan Liao

Frontiers Neurorobotics, 2020