Pancreas Segmentation via Spatial Context based U-net and Bidirectional LSTM. - Hao Li 097; Jun Li 107; Xiaozhu Lin; Xiaohua Qian (CoRR, 2019)

Probability Map Guided Bi-directional Recurrent UNet for Pancreas Segmentation. - Jun Li 107; Xiaozhu Lin; Hui Che; Hao Li 097; Xiaohua Qian (CoRR, 2019)

Pancreatic cancer segmentation in unregistered multi-parametric MRI with adversarial learning and multi-scale supervision. - Jun Li 107; Chaolu Feng; Qing Shen; Xiaozhu Lin; Xiaohua Qian (Neurocomputing, 2022)

A dual meta-learning framework based on idle data for enhancing segmentation of pancreatic cancer. - Jun Li 107; Liang Qi; Qingzhong Chen; Yu-Dong Zhang; Xiaohua Qian (Medical Image Anal., 2022)

Utilizing GCN and Meta-Learning Strategy in Unsupervised Domain Adaptation for Pancreatic Cancer Segmentation. - Jun Li 107; Chaolu Feng; Xiaozhu Lin; Xiaohua Qian (IEEE J. Biomed. Health Informatics, 2022)

Model-Driven Deep Learning Method for Pancreatic Cancer Segmentation Based on Spiral-Transformation. - Xiahan Chen; Zihao Chen; Jun Li 107; Yu-Dong Zhang; Xiaozhu Lin; Xiaohua Qian (IEEE Trans. Medical Imaging, 2022)

Generalizable Pancreas Segmentation Modeling in CT Imaging via Meta-Learning and Latent-Space Feature Flow Generation. - Jun Li 107; Tao Chen; Xiaohua Qian (IEEE J. Biomed. Health Informatics, 2023)

Diagnosis of Glioblastoma Multiforme Progression via Interpretable Structure-Constrained Graph Neural Networks. - Xiaofan Song; Jun Li 107; Xiaohua Qian (IEEE Trans. Medical Imaging, 2023)

Generalizable Pancreas Segmentation via a Dual Self-Supervised Learning Framework. - Jun Li 107; Hongzhang Zhu; Tao Chen; Xiaohua Qian (IEEE J. Biomed. Health Informatics, 2023)

A Dual-Task Synergy-Driven Generalization Framework for Pancreatic Cancer Segmentation in CT Scans. - Jun Li 107; Yijue Zhang; Haibo Shi; Minhong Li; Qiwei Li; Xiaohua Qian (CoRR, 2025)