Xuanang Xu

Orcid: 0000-0002-6045-8457

According to our database1, Xuanang Xu authored at least 27 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Beam-wise dose composition learning for head and neck cancer dose prediction in radiotherapy.
Medical Image Anal., February, 2024

General Purpose Image Encoder DINOv2 for Medical Image Registration.
CoRR, 2024

2023
Federated Multi-Organ Segmentation With Inconsistent Labels.
IEEE Trans. Medical Imaging, October, 2023

Shape description losses for medical image segmentation.
Mach. Vis. Appl., July, 2023

Dynamic Cross-Task Representation Adaptation for Clinical Targets Co-Segmentation in CT Image-Guided Post-Prostatectomy Radiotherapy.
IEEE Trans. Medical Imaging, April, 2023

Distance map supervised landmark localization for MR-TRUS registration.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Federated Cross Learning for Medical Image Segmentation.
Proceedings of the Medical Imaging with Deep Learning, 2023

Spatiotemporal Incremental Mechanics Modeling of Facial Tissue Change.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Soft-Tissue Driven Craniomaxillofacial Surgical Planning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Annotations for Body Organ Localization based on MICCAI LiTS Dataset.
Dataset, May, 2022

Shadow-Consistent Semi-Supervised Learning for Prostate Ultrasound Segmentation.
IEEE Trans. Medical Imaging, 2022

Polar transform network for prostate ultrasound segmentation with uncertainty estimation.
Medical Image Anal., 2022

Cross-modal attention for multi-modal image registration.
Medical Image Anal., 2022

Federated Multi-organ Segmentation with Partially Labeled Data.
CoRR, 2022

OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines.
CoRR, 2022

Deep learning for biomechanical modeling of facial tissue deformation in orthognathic surgical planning.
Int. J. Comput. Assist. Radiol. Surg., 2022

Deep Learning-Based Head and Neck Radiotherapy Planning Dose Prediction via Beam-Wise Dose Decomposition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Deep Learning-Based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images.
Medical Image Anal., 2021

Asymmetric multi-task attention network for prostate bed segmentation in computed tomography images.
Medical Image Anal., 2021

Task-Oriented Low-Dose CT Image Denoising.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Cross-Modal Attention for MRI and Ultrasound Volume Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

End-to-end Ultrasound Frame to Volume Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Asymmetrical Multi-task Attention U-Net for the Segmentation of Prostate Bed in CT Image.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Efficient Multiple Organ Localization in CT Image Using 3D Region Proposal Network.
IEEE Trans. Medical Imaging, 2019

Multiple Organ Localization in CT Image Using Triple-Branch Fully Convolutional Networks.
IEEE Access, 2019

2018
Automatic bladder segmentation from CT images using deep CNN and 3D fully connected CRF-RNN.
Int. J. Comput. Assist. Radiol. Surg., 2018


  Loading...