Jianghong Xiao

According to our database, Jianghong Xiao authored at least 23 papers between 2021 and 2024.

Collaborative distances:

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

2024

DSANet: Dual-path segmentation-guided attention network for radiotherapy dose prediction from CT images only.

Yuanyuan Xu, Lu Wen, Zhengyang Jiao, Jianghong Xiao, Luping Zhou, Yanmei Luo, Jiliu Zhou, Xingchen Peng, Yan Wang

Knowl. Based Syst., 2024

FDDM: Frequency-Decomposed Diffusion Model for Rectum Cancer Dose Prediction in Radiotherapy.

Xin Liao, Zhenghao Feng, Jianghong Xiao, Xingchen Peng, Yan Wang

CoRR, 2024

Dose Prediction Driven Radiotherapy Paramters Regression via Intra- and Inter-Relation Modeling.

Jiaqi Cui, Yuanyuan Xu, Jianghong Xiao, Yuchen Fei, Jiliu Zhou, Xingchen Peng, Yan Wang

CoRR, 2024

Dose Prediction Driven Radiotherapy Parameters Regression via Intra- and Inter-Relation Modeling.

Jiaqi Cui, Yuanyuan Xu, Jianghong Xiao, Yuchen Fei, Jiliu Zhou, Xingchen Peng, Yan Wang

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Automatic Head-and-Neck Tumor Segmentation in MRI via an End-to-End Adversarial Network.

Pinli Yang, Xingchen Peng, Jianghong Xiao, Xi Wu, Jiliu Zhou, Yan Wang

Neural Process. Lett., December, 2023

Unsupervised Domain Adaptive Dose Prediction via Cross-Attention Transformer and Target-Specific Knowledge Preservation.

Jiaqi Cui, Jianghong Xiao, Yun Hou, Xi Wu, Jiliu Zhou, Xingchen Peng, Yan Wang

Int. J. Neural Syst., November, 2023

TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification.

Zhengyang Jiao, Xingchen Peng, Yan Wang, Jianghong Xiao, Dong Nie, Xi Wu, Xin Wang, Jiliu Zhou, Dinggang Shen

Medical Image Anal., October, 2023

Efficient Multi-Organ Segmentation From 3D Abdominal CT Images With Lightweight Network and Knowledge Distillation.

Qianfei Zhao, Lanfeng Zhong, Jianghong Xiao, Jingbo Zhang, Yinan Chen, Wenjun Liao, Shaoting Zhang, Guotai Wang

IEEE Trans. Medical Imaging, September, 2023

Multi-level progressive transfer learning for cervical cancer dose prediction.

Lu Wen, Jianghong Xiao, Jie Zeng, Chen Zu, Xi Wu, Jiliu Zhou, Xingchen Peng, Yan Wang

Pattern Recognit., September, 2023

A Transformer-Embedded Multi-Task Model for Dose Distribution Prediction.

Lu Wen, Jianghong Xiao, Shuai Tan, Xi Wu, Jiliu Zhou, Xingchen Peng, Yan Wang

Int. J. Neural Syst., August, 2023

Diffusion-based Radiotherapy Dose Prediction Guided by Inter-slice Aware Structure Encoding.

Zhenghao Feng, Lu Wen, Jianghong Xiao, Yuanyuan Xu, Xi Wu, Jiliu Zhou, Xingchen Peng, Yan Wang

CoRR, 2023

Polymerized Feature-Based Domain Adaptation for Cervical Cancer Dose Map Prediction.

Jie Zeng, Zeyu Han, Xingchen Peng, Jianghong Xiao, Peng Wang, Yan Wang

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Multi-constraint generative adversarial network for dose prediction in radiotherapy.

Bo Zhan, Jianghong Xiao, Chongyang Cao, Xingchen Peng, Chen Zu, Jiliu Zhou, Yan Wang

Medical Image Anal., 2022

WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image.

Xiangde Luo, Wenjun Liao, Jianghong Xiao, Jieneng Chen, Tao Song, Xiaofan Zhang, Kang Li, Dimitris N. Metaxas, Guotai Wang, Shaoting Zhang

Medical Image Anal., 2022

Explainable attention guided adversarial deep network for 3D radiotherapy dose distribution prediction.

Huidong Li, Xingchen Peng, Jie Zeng, Jianghong Xiao, Dong Nie, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang

Knowl. Based Syst., 2022

Semi-supervised NPC segmentation with uncertainty and attention guided consistency.

Lin Hu, Jiaxin Li, Xingchen Peng, Jianghong Xiao, Bo Zhan, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang

Knowl. Based Syst., 2022

Multi-transSP: Multimodal Transformer for Survival Prediction of Nasopharyngeal Carcinoma Patients.

Hanci Zheng, Zongying Lin, Qizheng Zhou, Xingchen Peng, Jianghong Xiao, Chen Zu, Zhengyang Jiao, Yan Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Two-Phase Progressive Deep Transfer Learning for Cervical Cancer Dose Map Prediction.

Jie Zeng, Chongyang Cao, Xingchen Peng, Jianghong Xiao, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Mask-Free Radiotherapy Dose Prediction via Multi-Task Learning.

Zhengyang Jiao, Xingchen Peng, Jianghong Xiao, Xi Wu, Jiliu Zhou, Yan Wang

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

DA-DSUnet: Dual Attention-based Dense SU-net for automatic head-and-neck tumor segmentation in MRI images.

Pin Tang, Chen Zu, Mei Hong, Rui Yan, Xingchen Peng, Jianghong Xiao, Xi Wu, Jiliu Zhou, Luping Zhou, Yan Wang

Neurocomputing, 2021

WORD: Revisiting Organs Segmentation in the Whole Abdominal Region.

Xiangde Luo, Wenjun Liao, Jianghong Xiao, Tao Song, Xiaofan Zhang, Kang Li, Guotai Wang, Shaoting Zhang

CoRR, 2021

Incorporating Isodose Lines and Gradient Information via Multi-task Learning for Dose Prediction in Radiotherapy.

Shuai Tan, Pin Tang, Xingchen Peng, Jianghong Xiao, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Adaptive Multi-Organ Loss Based Generative Adversarial Network For Automatic Dose Prediction In Radiotherapy.

Chongyang Cao, Jianghong Xiao, Bo Zhan, Xingchen Peng, Xi Wu, Jiliu Zhou, Yan Wang

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021