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Minfan Zhao
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2020 – today
- 2024
- [j1]Jun Shi, Zhaohui Wang, Shulan Ruan, Minfan Zhao, Ziqi Zhu, Hongyu Kan, Hong An, Xudong Xue, Bing Yan:
Rethinking automatic segmentation of gross target volume from a decoupling perspective. Comput. Medical Imaging Graph. 112: 102323 (2024) - [c8]Jun Shi, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Hong An, Xudong Xue, Bing Yan:
Predictive Accuracy-Based Active Learning for Medical Image Segmentation. IJCAI 2024: 4885-4893 - [i3]Liang Qiao, Jun Shi, Xiaoyu Hao, Xi Fang, Minfan Zhao, Ziqi Zhu, Junshi Chen, Hong An, Bing Li, Honghui Yuan, Xinyang Wang:
Pruner: An Efficient Cross-Platform Tensor Compiler with Dual Awareness. CoRR abs/2402.02361 (2024) - [i2]Jun Shi, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Hong An, Xudong Xue, Bing Yan:
Predictive Accuracy-Based Active Learning for Medical Image Segmentation. CoRR abs/2405.00452 (2024) - 2023
- [c7]Qiang Liu, Jun Shi, Liang Qiao, Ziqi Zhu, Hong An, Minfan Zhao:
FRNET: An Effective Hybrid Structure for Automatic Segmentation of Head and Neck Primary Tumors from Multimodal Images. ISBI 2023: 1-5 - [c6]Ziqi Zhu, Jun Shi, Minfan Zhao, Zhaohui Wang, Liang Qiao, Hong An:
Contrast Learning Based Robust Framework for Weakly Supervised Medical Image Segmentation with Coarse Bounding Box Annotations. CMMCA@MICCAI 2023: 110-119 - [c5]Jun Shi, Hongyu Kan, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Liang Qiao, Zhaohui Wang, Hong An, Xudong Xue:
H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation. MICCAI (4) 2023: 692-702 - [i1]Jun Shi, Hongyu Kan, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Liang Qiao, Zhaohui Wang, Hong An, Xudong Xue:
H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation. CoRR abs/2307.01486 (2023) - 2022
- [c4]Minfan Zhao, Min Ling, Zhaohui Wang, Jun Shi, Hongyu Kan, Hong An, Wenting Han, Joseph Bartlett, Wenqi Lu:
Whole Slide Image Multi-Classification of Cervical Epithelial Lesions Based on Unsupervised Pre-training. EMBC 2022: 594-598 - [c3]Hongyu Kan, Jun Shi, Minfan Zhao, Zhaohui Wang, Wenting Han, Hong An, Zhaoyang Wang, Shuo Wang:
ITUnet: Integration Of Transformers And Unet For Organs-At-Risk Segmentation. EMBC 2022: 2123-2127 - [c2]Liang Qiao, Qiang Liu, Jun Shi, Minfan Zhao, Hongyu Kan, Zhaohui Wang, Hong An, Chenguang Xiao, Shuo Wang:
FcTC-UNet: Fine-grained Combination of Transformer and CNN for Thoracic Organs Segmentation. EMBC 2022: 4749-4753 - [c1]Jun Shi, Zhaohui Wang, Hongyu Kan, Minfan Zhao, Xudong Xue, Bing Yan, Hong An, Jianjun Shen, Joseph Bartlett, Wenqi Lu, Jinming Duan:
Automatic Segmentation of Target Structures for Total Marrow and Lymphoid Irradiation in Bone Marrow Transplantation. EMBC 2022: 5025-5029
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last updated on 2024-10-21 20:32 CEST by the dblp team
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