Zhaohui Wang

According to our database, Zhaohui Wang authored at least 12 papers between 2021 and 2025.

Collaborative distances:

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

2025

PromptSeg: Learning to Segment Medical Image via Visual Prompts.

Minfan Zhao, Ziqi Zhu, Jun Shi, Zhaohui Wang, Junshi Chen, Hong An, Bing Yan

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Carver: Learning to Reconstruct Right Ventricle from Sparse Multi-View 2D Echocardiograms.

Yida Li, Jun Shi, Zhaohui Wang, Tiantong Wang, Ziqi Zhu, Minfan Zhao, Junshi Chen, Hong An

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

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

Clisp: A Robust Interactive Segmentation Framework for Pathological Images.

Hannan Wang, Jun Shi, Minfan Zhao, Liang Qiao, Zhaohui Wang, Yue Dai, Yuchen Ma, Hong An

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

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

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

Zhaohui Wang, Jun Shi, Xiaoyu Hao, Ke Wen, Xu Jin, Hong An

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 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