Xuanang Xu

According to our database, Xuanang Xu authored at least 31 papers between 2018 and 2024.

Collaborative distances:

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

2024

Patient-specific reference model estimation for orthognathic surgical planning.

Xi Fang, Hannah H. Deng, Tianshu Kuang, Xuanang Xu, Jungwook Lee, Jaime Gateno, Pingkun Yan

Int. J. Comput. Assist. Radiol. Surg., July, 2024

Beam-wise dose composition learning for head and neck cancer dose prediction in radiotherapy.

Lin Teng, Bin Wang, Xuanang Xu, Jiadong Zhang, Lanzhuju Mei, Qianjin Feng, Dinggang Shen

Medical Image Anal., February, 2024

Correspondence attention for facial appearance simulation.

Xi Fang, Daeseung Kim, Xuanang Xu, Tianshu Kuang, Nathan Lampen, Jungwook Lee, Hannah H. Deng, Michael A. K. Liebschner, James J. Xia, Jaime Gateno, Pingkun Yan

Medical Image Anal., 2024

General Purpose Image Encoder DINOv2 for Medical Image Registration.

Xinrui Song, Xuanang Xu, Pingkun Yan

CoRR, 2024

DiRecT: Diagnosis and Reconstruction Transformer for Mandibular Deformity Assessment.

Xuanang Xu, Jungwook Lee, Nathan Lampen, Daeseung Kim, Tianshu Kuang, Hannah H. Deng, Michael A. K. Liebschner, Jaime Gateno, Pingkun Yan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

DINO-Reg: General Purpose Image Encoder for Training-Free Multi-modal Deformable Medical Image Registration.

Xinrui Song, Xuanang Xu, Pingkun Yan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Federated Multi-Organ Segmentation With Inconsistent Labels.

Xuanang Xu, Hannah H. Deng, Jaime Gateno, Pingkun Yan

IEEE Trans. Medical Imaging, October, 2023

Shape description losses for medical image segmentation.

Xi Fang, Xuanang Xu, James J. Xia, Thomas Sanford, Baris Turkbey, Sheng Xu, Bradford J. Wood, Pingkun Yan

Mach. Vis. Appl., July, 2023

Dynamic Cross-Task Representation Adaptation for Clinical Targets Co-Segmentation in CT Image-Guided Post-Prostatectomy Radiotherapy.

Fan Wang, Xuanang Xu, Defu Yang, Ronald C. Chen, Trevor J. Royce, Andrew Z. Wang, Jun Lian, Chunfeng Lian

IEEE Trans. Medical Imaging, April, 2023

Distance map supervised landmark localization for MR-TRUS registration.

Xinrui Song, Xuanang Xu, Sheng Xu, Baris Turkbey, Thomas Sanford, Bradford J. Wood, Pingkun Yan

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Federated Cross Learning for Medical Image Segmentation.

Xuanang Xu, Hannah H. Deng, Tianyi Chen, Tianshu Kuang, Joshua C. Barber, Daeseung Kim, Jaime Gateno, James J. Xia, Pingkun Yan

Proceedings of the Medical Imaging with Deep Learning, 2023

Spatiotemporal Incremental Mechanics Modeling of Facial Tissue Change.

Nathan Lampen, Daeseung Kim, Xuanang Xu, Xi Fang, Jungwook Lee, Tianshu Kuang, Hannah H. Deng, Michael A. K. Liebschner, James J. Xia, Jaime Gateno, Pingkun Yan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Soft-Tissue Driven Craniomaxillofacial Surgical Planning.

Xi Fang, Daeseung Kim, Xuanang Xu, Tianshu Kuang, Nathan Lampen, Jungwook Lee, Hannah H. Deng, Jaime Gateno, Michael A. K. Liebschner, James J. Xia, Pingkun Yan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Annotations for Body Organ Localization based on MICCAI LiTS Dataset.

Xuanang Xu, Fugen Zhou, Bo Liu, Xiangzhi Bai

Dataset, May, 2022

Shadow-Consistent Semi-Supervised Learning for Prostate Ultrasound Segmentation.

Xuanang Xu, Thomas Sanford, Baris Turkbey, Sheng Xu, Bradford J. Wood, Pingkun Yan

IEEE Trans. Medical Imaging, 2022

Polar transform network for prostate ultrasound segmentation with uncertainty estimation.

Xuanang Xu, Thomas Sanford, Baris Turkbey, Sheng Xu, Bradford J. Wood, Pingkun Yan

Medical Image Anal., 2022

Cross-modal attention for multi-modal image registration.

Xinrui Song, Hanqing Chao, Xuanang Xu, Hengtao Guo, Sheng Xu, Baris Turkbey, Bradford J. Wood, Thomas Sanford, Ge Wang, Pingkun Yan

Medical Image Anal., 2022

Federated Multi-organ Segmentation with Partially Labeled Data.

Xuanang Xu, Pingkun Yan

CoRR, 2022

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

Aaron Babier, Rafid Mahmood, Binghao Zhang, Victor Gabriel Leandro Alves, Ana Maria Barragán-Montero, Joel Beaudry, Carlos E. Cardenas S., Yankui Chang, Zijie Chen, Jaehee Chun, Kelly Diaz, Harold David Eraso, Erik Faustmann, Sibaji Gaj, Skylar S. Gay, Mary Gronberg, Bingqi Guo, Junjun He, Gerd Heilemann, Sanchit Hira, Yuliang Huang, Fuxin Ji, Dashan Jiang, Jean Carlo Jimenez Giraldo, Hoyeon Lee, Jun Lian, Shuolin Liu, Keng-Chi Liu, José Marrugo, Kentaro Miki, Kunio Nakamura, Tucker J. Netherton, Dan Nguyen, Hamidreza Nourzadeh, Alexander F. I. Osman, Zhao Peng, José Darío Quinto Muñoz, Christian Ramsl, Dong Joo Rhee, Juan David Rodriguez, Hongming Shan, Jeffrey V. Siebers, Mumtaz Hussain Soomro, Kay Sun, Andrés Usuga Hoyos, Carlos Valderrama, Rob Verbeek, Enpei Wang, Siri Willems, Qi Wu, Xuanang Xu, Sen Yang, Lulin Yuan, Simeng Zhu, Lukas Zimmermann, Kevin L. Moore, Thomas G. Purdie, Andrea L. McNiven, Timothy C. Y. Chan

CoRR, 2022

Deep learning for biomechanical modeling of facial tissue deformation in orthognathic surgical planning.

Nathan Lampen, Daeseung Kim, Xi Fang, Xuanang Xu, Tianshu Kuang, Hannah H. Deng, Joshua C. Barber, Jaime Gateno, James J. Xia, Pingkun Yan

Int. J. Comput. Assist. Radiol. Surg., 2022

Deep Learning-Based Head and Neck Radiotherapy Planning Dose Prediction via Beam-Wise Dose Decomposition.

Bin Wang, Lin Teng, Lanzhuju Mei, Zhiming Cui, Xuanang Xu, Qianjin Feng, Dinggang Shen

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.

Xi Fang, Daeseung Kim, Xuanang Xu, Tianshu Kuang, Hannah H. Deng, Joshua C. Barber, Nathan Lampen, Jaime Gateno, Michael A. K. Liebschner, James J. Xia, Pingkun Yan

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.

Yue Zhou, Houjin Chen, Yanfeng Li, Qin Liu, Xuanang Xu, Shu Wang, Pew-Thian Yap, Dinggang Shen

Medical Image Anal., 2021

Asymmetric multi-task attention network for prostate bed segmentation in computed tomography images.

Xuanang Xu, Chunfeng Lian, Shuai Wang, Tong Zhu, Ronald C. Chen, Andrew Z. Wang, Trevor J. Royce, Pew-Thian Yap, Dinggang Shen, Jun Lian

Medical Image Anal., 2021

Task-Oriented Low-Dose CT Image Denoising.

Jiajin Zhang, Hanqing Chao, Xuanang Xu, Chuang Niu, Ge Wang, Pingkun Yan

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.

Xinrui Song, Hengtao Guo, Xuanang Xu, Hanqing Chao, Sheng Xu, Baris Turkbey, Bradford J. Wood, Ge Wang, Pingkun Yan

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.

Hengtao Guo, Xuanang Xu, Sheng Xu, Bradford J. Wood, Pingkun Yan

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.

Xuanang Xu, Chunfeng Lian, Shuai Wang, Andrew Z. Wang, Trevor J. Royce, Ronald C. Chen, Jun Lian, Dinggang Shen

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.

Xuanang Xu, Fugen Zhou, Bo Liu, Dongshan Fu, Xiangzhi Bai

IEEE Trans. Medical Imaging, 2019

Multiple Organ Localization in CT Image Using Triple-Branch Fully Convolutional Networks.

Xuanang Xu, Fugen Zhou, Bo Liu, Xiangzhi Bai

IEEE Access, 2019

2018

Automatic bladder segmentation from CT images using deep CNN and 3D fully connected CRF-RNN.

Xuanang Xu, Fugen Zhou, Bo Liu

Int. J. Comput. Assist. Radiol. Surg., 2018