Jun Li

According to our database, Jun Li authored at least 10 papers between 2019 and 2025.

Collaborative distances:

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

2025

A Dual-Task Synergy-Driven Generalization Framework for Pancreatic Cancer Segmentation in CT Scans.

Jun Li, Yijue Zhang, Haibo Shi, Minhong Li, Qiwei Li, Xiaohua Qian

CoRR, May, 2025

2023

Generalizable Pancreas Segmentation via a Dual Self-Supervised Learning Framework.

Jun Li, Hongzhang Zhu, Tao Chen, Xiaohua Qian

IEEE J. Biomed. Health Informatics, October, 2023

Diagnosis of Glioblastoma Multiforme Progression via Interpretable Structure-Constrained Graph Neural Networks.

Xiaofan Song, Jun Li, Xiaohua Qian

IEEE Trans. Medical Imaging, February, 2023

Generalizable Pancreas Segmentation Modeling in CT Imaging via Meta-Learning and Latent-Space Feature Flow Generation.

Jun Li, Tao Chen, Xiaohua Qian

IEEE J. Biomed. Health Informatics, 2023

2022

Model-Driven Deep Learning Method for Pancreatic Cancer Segmentation Based on Spiral-Transformation.

Xiahan Chen, Zihao Chen, Jun Li, Yu-Dong Zhang, Xiaozhu Lin, Xiaohua Qian

IEEE Trans. Medical Imaging, 2022

Utilizing GCN and Meta-Learning Strategy in Unsupervised Domain Adaptation for Pancreatic Cancer Segmentation.

Jun Li, Chaolu Feng, Xiaozhu Lin, Xiaohua Qian

IEEE J. Biomed. Health Informatics, 2022

A dual meta-learning framework based on idle data for enhancing segmentation of pancreatic cancer.

Jun Li, Liang Qi, Qingzhong Chen, Yu-Dong Zhang, Xiaohua Qian

Medical Image Anal., 2022

Pancreatic cancer segmentation in unregistered multi-parametric MRI with adversarial learning and multi-scale supervision.

Jun Li, Chaolu Feng, Qing Shen, Xiaozhu Lin, Xiaohua Qian

Neurocomputing, 2022

2019

Probability Map Guided Bi-directional Recurrent UNet for Pancreas Segmentation.

Jun Li, Xiaozhu Lin, Hui Che, Hao Li, Xiaohua Qian

CoRR, 2019

Pancreas Segmentation via Spatial Context based U-net and Bidirectional LSTM.

Hao Li, Jun Li, Xiaozhu Lin, Xiaohua Qian

CoRR, 2019