Jun Shi

According to our database, Jun Shi authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

Predictive Accuracy-Based Active Learning for Medical Image Segmentation.

Jun Shi, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Hong An, Xudong Xue, Bing Yan

CoRR, 2024

Rethinking automatic segmentation of gross target volume from a decoupling perspective.

Jun Shi, Zhaohui Wang, Shulan Ruan, Minfan Zhao, Ziqi Zhu, Hongyu Kan, Hong An, Xudong Xue, Bing Yan

Comput. Medical Imaging Graph., 2024

2023

Multi-View Attention Learning for Residual Disease Prediction of Ovarian Cancer.

Xiangneng Gao, Shulan Ruan, Jun Shi, Guoqing Hu, Wei Wei

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Contrast Learning Based Robust Framework for Weakly Supervised Medical Image Segmentation with Coarse Bounding Box Annotations.

Ziqi Zhu, Jun Shi, Minfan Zhao, Zhaohui Wang, Liang Qiao, Hong An

Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2023

H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation.

Jun Shi, Hongyu Kan, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Liang Qiao, Zhaohui Wang, Hong An, Xudong Xue

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Whole Slide Image Multi-Classification of Cervical Epithelial Lesions Based on Unsupervised Pre-training.

Minfan Zhao, Min Ling, Zhaohui Wang, Jun Shi, Hongyu Kan, Hong An, Wenting Han, Joseph Bartlett, Wenqi Lu

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Automatic Segmentation of Target Structures for Total Marrow and Lymphoid Irradiation in Bone Marrow Transplantation.

Jun Shi, Zhaohui Wang, Hongyu Kan, Minfan Zhao, Xudong Xue, Bing Yan, Hong An, Jianjun Shen, Joseph Bartlett, Wenqi Lu, Jinming Duan

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

FcTC-UNet: Fine-grained Combination of Transformer and CNN for Thoracic Organs Segmentation.

Liang Qiao, Qiang Liu, Jun Shi, Minfan Zhao, Hongyu Kan, Zhaohui Wang, Hong An, Chenguang Xiao, Shuo Wang

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

ITUnet: Integration Of Transformers And Unet For Organs-At-Risk Segmentation.

Hongyu Kan, Jun Shi, Minfan Zhao, Zhaohui Wang, Wenting Han, Hong An, Zhaoyang Wang, Shuo Wang

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

DARNet: Dual-Attention Residual Network for Automatic Diagnosis of COVID-19 via CT Images.

Jun Shi, Huite Yi, Shulan Ruan, Zhaohui Wang, Xiaoyu Hao, Hong An, Wei Wei

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

A Novel U-Like Network For The Segmentation Of Thoracic Organs.

Jun Shi, Ke Wen, Xiaoyu Hao, Xudong Xue, Hong An, Hongyan Zhang

Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020