Personal information

Websites & social links

http://shijun18.github.io

Keywords

Deep Learning, Medical Image Analysis, Self-Supervised Learning, Active Learning

Countries

China

Biography

Research interests: AutoML, Deep Learning, Medical Image Analysis, High-Performance Computing, Distributed System

Activities

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Education and qualifications (1)

University of Science and Technology of China: Hefei, Anhui, CN

2020-09-01 to present | Dr. (School of Computer Science and Technology)
Education
Source: Self-asserted source
Jun Shi

Works (15)

Rethinking automatic segmentation of gross target volume from a decoupling perspective

Computerized Medical Imaging and Graphics
2024-03 | Journal article
DOI: 10.1016/j.compmedimag.2023.102323
Contributors: Jun Shi; Zhaohui Wang; Shulan Ruan; Minfan Zhao; Ziqi Zhu; Hongyu Kan; Hong An; Xudong Xue; Bing Yan
Source: check_circle
Crossref

FRNET: An Effective Hybrid Structure for Automatic Segmentation of Head and Neck Primary Tumors from Multimodal Images

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
2023 | Conference paper
DOI: 10.1109/ISBI53787.2023.10230383
Contributors: Liu, Qiang; Shi, Jun; Qiao, Liang; Zhu, Ziqi; An, Hong; Zhao, Minfan
Source: Self-asserted source
Jun Shi

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

2023 | Other
Contributors: Jun Shi; Hongyu Kan; Shulan Ruan; Ziqi Zhu; Minfan Zhao; Liang Qiao; Zhaohui Wang; Hong An; Xudong Xue
Source: Self-asserted source
Jun Shi

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

2023 | Other
Contributors: Xiangneng Gao; Shulan Ruan; Jun Shi; Guoqing Hu; Wei Wei
Source: Self-asserted source
Jun Shi

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

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
2022 | Conference paper
DOI: 10.1109/EMBC48229.2022.9871824
Contributors: Shi, Jun; Wang, Zhaohui; Kan, Hongyu; Zhao, Minfan; Xue, Xudong; Yan, Bing; An, Hong; Shen, Jianjun; Bartlett, Joseph; Lu, Wenqi et al.
Source: Self-asserted source
Jun Shi

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

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
2022 | Conference paper
DOI: 10.1109/EMBC48229.2022.9870880
Contributors: Qiao, Liang; Liu, Qiang; Shi, Jun; Zhao, Minfan; Kan, Hongyu; Wang, Zhaohui; An, Hong; Xiao, Chenguang; Wang, Shuo
Source: Self-asserted source
Jun Shi

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

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
2022 | Conference paper
DOI: 10.1109/EMBC48229.2022.9871945
Contributors: Kan, Hongyu; Shi, Jun; Zhao, Minfan; Wang, Zhaohui; Han, Wenting; An, Hong; Wang, Zhaoyang; Wang, Shuo
Source: Self-asserted source
Jun Shi

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

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
2022 | Conference paper
DOI: 10.1109/EMBC48229.2022.9871149
Contributors: Zhao, Minfan; Ling, Min; Wang, Zhaohui; Shi, Jun; Kan, Hongyu; An, Hong; Han, Wenting; Bartlett, Joseph; Lu, Wenqi
Source: Self-asserted source
Jun Shi

Cone beam CT (CBCT) based synthetic CT generation using deep learning methods for dose calculation of nasopharyngeal carcinoma radiotherapy

Technology in Cancer Research & Treatment
2021 | Journal article
Contributors: Xue, Xudong; Ding, Yi; Shi, Jun; Hao, Xiaoyu; Li, Xiangbin; Li, Dan; Wu, Yuan; An, Hong; Jiang, Man; Wei, Wei et al.
Source: Self-asserted source
Jun Shi

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

2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
2021 | Conference paper
DOI: 10.1109/BIBM52615.2021.9669805
Contributors: Shi, Jun; Yi, Huite; Ruan, Shulan; Wang, Zhaohui; Hao, Xiaoyu; An, Hong; Wei, Wei
Source: Self-asserted source
Jun Shi

Fast Whole Slide Image Analysis Of Cervical Cancer Using Weak Annotation

2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)
2021 | Conference paper
DOI: 10.1109/ISBI48211.2021.9433964
Contributors: Ling, Min; Lv, Guofeng; Wang, Jue; Hao, Xiaoyu; Shi, Jun; An, Hong
Source: Self-asserted source
Jun Shi

Global Multi-Level Attention Network for the Segmentation of Clinical Target Volume In The Planning CT For Cervical Cancer

2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)
2021 | Conference paper
DOI: 10.1109/ISBI48211.2021.9433980
Contributors: Yi, Huite; Shi, Jun; Yan, Bing; Xue, Xudong; An, Hong; Zhang, Hongyan
Source: Self-asserted source
Jun Shi

Simultaneous Right Ventricle End-diastolic and End-systolic Frame Identification and Landmark Detection on Echocardiography

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
2021 | Conference paper
DOI: 10.1109/EMBC46164.2021.9630310
Contributors: Wang, Zhaohui; Shi, Jun; Hao, Xiaoyu; Wen, Ke; Jin, Xu; An, Hong
Source: Self-asserted source
Jun Shi

Sequential and iterative auto-segmentation of high-risk clinical target volume for radiotherapy of nasopharyngeal carcinoma in planning CT images

Frontiers in oncology
2020 | Journal article
Contributors: Xue, Xudong; Qin, Nannan; Hao, Xiaoyu; Shi, Jun; Wu, Ailin; An, Hong; Zhang, Hongyan; Wu, Aidong; Yang, Yidong
Source: Self-asserted source
Jun Shi

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

IEEE 17th International Symposium on Biomedical Imaging
2020-07-31 | Conference paper
Source: Self-asserted source
Jun Shi
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