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Jianghong Xiao
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2020 – today
- 2024
- [j12]Yuanyuan Xu, Lu Wen, Zhengyang Jiao, Jianghong Xiao, Luping Zhou, Yanmei Luo, Jiliu Zhou, Xingchen Peng, Yan Wang:
DSANet: Dual-path segmentation-guided attention network for radiotherapy dose prediction from CT images only. Knowl. Based Syst. 304: 112536 (2024) - [c7]Jiaqi Cui, Yuanyuan Xu, Jianghong Xiao, Yuchen Fei, Jiliu Zhou, Xingchen Peng, Yan Wang:
Dose Prediction Driven Radiotherapy Parameters Regression via Intra- and Inter-Relation Modeling. ISBI 2024: 1-4 - [i5]Jiaqi Cui, Yuanyuan Xu, Jianghong Xiao, Yuchen Fei, Jiliu Zhou, Xingchen Peng, Yan Wang:
Dose Prediction Driven Radiotherapy Paramters Regression via Intra- and Inter-Relation Modeling. CoRR abs/2402.18879 (2024) - [i4]Xin Liao, Zhenghao Feng, Jianghong Xiao, Xingchen Peng, Yan Wang:
FDDM: Frequency-Decomposed Diffusion Model for Rectum Cancer Dose Prediction in Radiotherapy. CoRR abs/2410.07876 (2024) - 2023
- [j11]Lu Wen, Jianghong Xiao, Shuai Tan, Xi Wu, Jiliu Zhou, Xingchen Peng, Yan Wang:
A Transformer-Embedded Multi-Task Model for Dose Distribution Prediction. Int. J. Neural Syst. 33(8): 2350043:1-2350043:16 (2023) - [j10]Jiaqi Cui, Jianghong Xiao, Yun Hou, Xi Wu, Jiliu Zhou, Xingchen Peng, Yan Wang:
Unsupervised Domain Adaptive Dose Prediction via Cross-Attention Transformer and Target-Specific Knowledge Preservation. Int. J. Neural Syst. 33(11): 2350057:1-2350057:16 (2023) - [j9]Zhengyang Jiao, Xingchen Peng, Yan Wang, Jianghong Xiao, Dong Nie, Xi Wu, Xin Wang, Jiliu Zhou, Dinggang Shen:
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification. Medical Image Anal. 89: 102902 (2023) - [j8]Pinli Yang, Xingchen Peng, Jianghong Xiao, Xi Wu, Jiliu Zhou, Yan Wang:
Automatic Head-and-Neck Tumor Segmentation in MRI via an End-to-End Adversarial Network. Neural Process. Lett. 55(7): 9931-9948 (2023) - [j7]Lu Wen, Jianghong Xiao, Jie Zeng, Chen Zu, Xi Wu, Jiliu Zhou, Xingchen Peng, Yan Wang:
Multi-level progressive transfer learning for cervical cancer dose prediction. Pattern Recognit. 141: 109606 (2023) - [j6]Qianfei Zhao, Lanfeng Zhong, Jianghong Xiao, Jingbo Zhang, Yinan Chen, Wenjun Liao, Shaoting Zhang, Guotai Wang:
Efficient Multi-Organ Segmentation From 3D Abdominal CT Images With Lightweight Network and Knowledge Distillation. IEEE Trans. Medical Imaging 42(9): 2513-2523 (2023) - [c6]Jie Zeng, Zeyu Han, Xingchen Peng, Jianghong Xiao, Peng Wang, Yan Wang:
Polymerized Feature-Based Domain Adaptation for Cervical Cancer Dose Map Prediction. ISBI 2023: 1-4 - [i3]Jie Zeng, Zeyu Han, Xingchen Peng, Jianghong Xiao, Peng Wang, Yan Wang:
Polymerized Feature-based Domain Adaptation for Cervical Cancer Dose Map Prediction. CoRR abs/2308.10142 (2023) - [i2]Zhenghao Feng, Lu Wen, Jianghong Xiao, Yuanyuan Xu, Xi Wu, Jiliu Zhou, Xingchen Peng, Yan Wang:
Diffusion-based Radiotherapy Dose Prediction Guided by Inter-slice Aware Structure Encoding. CoRR abs/2311.02991 (2023) - 2022
- [j5]Lin Hu, Jiaxin Li, Xingchen Peng, Jianghong Xiao, Bo Zhan, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang:
Semi-supervised NPC segmentation with uncertainty and attention guided consistency. Knowl. Based Syst. 239: 108021 (2022) - [j4]Huidong Li, Xingchen Peng, Jie Zeng, Jianghong Xiao, Dong Nie, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang:
Explainable attention guided adversarial deep network for 3D radiotherapy dose distribution prediction. Knowl. Based Syst. 241: 108324 (2022) - [j3]Bo Zhan, Jianghong Xiao, Chongyang Cao, Xingchen Peng, Chen Zu, Jiliu Zhou, Yan Wang:
Multi-constraint generative adversarial network for dose prediction in radiotherapy. Medical Image Anal. 77: 102339 (2022) - [j2]Xiangde Luo, Wenjun Liao, Jianghong Xiao, Jieneng Chen, Tao Song, Xiaofan Zhang, Kang Li, Dimitris N. Metaxas, Guotai Wang, Shaoting Zhang:
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image. Medical Image Anal. 82: 102642 (2022) - [c5]Zhengyang Jiao, Xingchen Peng, Jianghong Xiao, Xi Wu, Jiliu Zhou, Yan Wang:
Mask-Free Radiotherapy Dose Prediction via Multi-Task Learning. ISBI 2022: 1-5 - [c4]Jie Zeng, Chongyang Cao, Xingchen Peng, Jianghong Xiao, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang:
Two-Phase Progressive Deep Transfer Learning for Cervical Cancer Dose Map Prediction. ISBI 2022: 1-5 - [c3]Hanci Zheng, Zongying Lin, Qizheng Zhou, Xingchen Peng, Jianghong Xiao, Chen Zu, Zhengyang Jiao, Yan Wang:
Multi-transSP: Multimodal Transformer for Survival Prediction of Nasopharyngeal Carcinoma Patients. MICCAI (8) 2022: 234-243 - 2021
- [j1]Pin Tang, Chen Zu, Mei Hong, Rui Yan, Xingchen Peng, Jianghong Xiao, Xi Wu, Jiliu Zhou, Luping Zhou, Yan Wang:
DA-DSUnet: Dual Attention-based Dense SU-net for automatic head-and-neck tumor segmentation in MRI images. Neurocomputing 435: 103-113 (2021) - [c2]Chongyang Cao, Jianghong Xiao, Bo Zhan, Xingchen Peng, Xi Wu, Jiliu Zhou, Yan Wang:
Adaptive Multi-Organ Loss Based Generative Adversarial Network For Automatic Dose Prediction In Radiotherapy. ISBI 2021: 212-215 - [c1]Shuai Tan, Pin Tang, Xingchen Peng, Jianghong Xiao, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang:
Incorporating Isodose Lines and Gradient Information via Multi-task Learning for Dose Prediction in Radiotherapy. MICCAI (7) 2021: 753-763 - [i1]Xiangde Luo, Wenjun Liao, Jianghong Xiao, Tao Song, Xiaofan Zhang, Kang Li, Guotai Wang, Shaoting Zhang:
WORD: Revisiting Organs Segmentation in the Whole Abdominal Region. CoRR abs/2111.02403 (2021)
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