Jianghong Xiao

Orcid: 0000-0002-2514-1614

According to our database1, Jianghong Xiao authored at least 20 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Dose Prediction Driven Radiotherapy Paramters Regression via Intra- and Inter-Relation Modeling.
CoRR, 2024

2023
Automatic Head-and-Neck Tumor Segmentation in MRI via an End-to-End Adversarial Network.
Neural Process. Lett., December, 2023

Unsupervised Domain Adaptive Dose Prediction via Cross-Attention Transformer and Target-Specific Knowledge Preservation.
Int. J. Neural Syst., November, 2023

TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification.
Medical Image Anal., October, 2023

Efficient Multi-Organ Segmentation From 3D Abdominal CT Images With Lightweight Network and Knowledge Distillation.
IEEE Trans. Medical Imaging, September, 2023

Multi-level progressive transfer learning for cervical cancer dose prediction.
Pattern Recognit., September, 2023

A Transformer-Embedded Multi-Task Model for Dose Distribution Prediction.
Int. J. Neural Syst., August, 2023

Diffusion-based Radiotherapy Dose Prediction Guided by Inter-slice Aware Structure Encoding.
CoRR, 2023

Polymerized Feature-Based Domain Adaptation for Cervical Cancer Dose Map Prediction.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Multi-constraint generative adversarial network for dose prediction in radiotherapy.
Medical Image Anal., 2022

WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image.
Medical Image Anal., 2022

Explainable attention guided adversarial deep network for 3D radiotherapy dose distribution prediction.
Knowl. Based Syst., 2022

Semi-supervised NPC segmentation with uncertainty and attention guided consistency.
Knowl. Based Syst., 2022

Multi-transSP: Multimodal Transformer for Survival Prediction of Nasopharyngeal Carcinoma Patients.
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.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Mask-Free Radiotherapy Dose Prediction via Multi-Task Learning.
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.
Neurocomputing, 2021

WORD: Revisiting Organs Segmentation in the Whole Abdominal Region.
CoRR, 2021

Incorporating Isodose Lines and Gradient Information via Multi-task Learning for Dose Prediction in Radiotherapy.
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.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021


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