Xuanang Xu

发表

Federated Multi-organ Segmentation with Partially Labeled Data

Pingkun Yan, Xuanang Xu, 2022, ArXiv.

Federated Multi-organ Segmentation with Partially Labeled Data

Pingkun Yan, Xuanang Xu, 2022, ArXiv.

Cross-modal attention for multi-modal image registration

Sheng Xu, B. Wood, B. Turkbey, 2022, Medical Image Anal..

Shadow-Consistent Semi-Supervised Learning for Prostate Ultrasound Segmentation

Sheng Xu, B. Wood, B. Turkbey, 2021, IEEE Transactions on Medical Imaging.

Efficient Multiple Organ Localization in CT Image Using 3D Region Proposal Network

Xiangzhi Bai, Fugen Zhou, Bo Liu, 2019, IEEE Transactions on Medical Imaging.

Cross-modal Attention for MRI and Ultrasound Volume Registration

Baris Turkbey, Bradford J. Wood, Pingkun Yan, 2021, MICCAI.

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

Victor G. L. Alves, Skylar S. Gay, J. Siebers, 2022, Physics in medicine and biology.

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

Fugen Zhou, Bo Liu, Xuanang Xu, 2018, International Journal of Computer Assisted Radiology and Surgery.

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

J. Lian, C. Lian, Fan Wang, 2022, IEEE Transactions on Medical Imaging.

End-to-end Ultrasound Frame to Volume Registration

Bradford J. Wood, Pingkun Yan, Hengtao Guo, 2021, MICCAI.

Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images

Pew-Thian Yap, Houjin Chen, Qin Liu, 2020, Medical Image Anal..

Degradation learning and Skip-Transformer for blind face restoration

N. Xu, Xuanang Xu, Ahmed Cheikh Sidiya, 2023, Frontiers in Signal Processing.

Polar transform network for prostate ultrasound segmentation with uncertainty estimation

Sheng Xu, B. Wood, B. Turkbey, 2022, Medical Image Anal..

Asymmetrical Multi-task Attention U-Net for the Segmentation of Prostate Bed in CT Image

Shuai Wang, Chunfeng Lian, Dinggang Shen, 2020, MICCAI.

Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation

P. Prasanna, Chaoyu Chen, Xuanang Xu, 2023, ArXiv.

Federated Cross Learning for Medical Image Segmentation

J. Xia, J. Gateno, Pingkun Yan, 2022, MIDL.

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

J. Xia, Xi Fang, Pingkun Yan, 2022, International Journal of Computer Assisted Radiology and Surgery.

Federated Multi-Organ Segmentation With Inconsistent Labels

Pingkun Yan, H. Deng, J. Gateno, 2022, IEEE Transactions on Medical Imaging.

Deciphering tissue heterogeneity from spatially resolved transcriptomics by the autoencoder-assisted graph convolutional neural network

Qianqian Shi, Xuanang Xu, Xinxing Li, 2023, Frontiers in Genetics.

Ultrasound Frame-to-Volume Registration via Deep Learning for Interventional Guidance

P. Pinto, Sheng Xu, B. Turkbey, 2022, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

A singular value decomposition linear programming (SVDLP) optimization technique for circular cone based robotic radiotherapy

Bin Guo, Fugen Zhou, Bin Liang, 2018, Physics in medicine and biology.

A CNN based volumetric imaging method with single X-ray projection

Bin Guo, Fugen Zhou, Bin Liang, 2017, 2017 IEEE International Conference on Imaging Systems and Techniques (IST).

Enhancing Modality-Agnostic Representations via Meta-learning for Brain Tumor Segmentation

P. Prasanna, Chaoyu Chen, Xuanang Xu, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

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

Qianjin Feng, Zhiming Cui, Dinggang Shen, 2022, MICCAI.

Deep Learning-Based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement

M. Liebschner, J. Xia, J. Gateno, 2022, MICCAI.

Dissecting Mitochondrial Mechanisms of Alzheimer's Disease Using Gene Dependency Network and Its Implications for Discovering Nutrients Combatting the Disease.

Qing-Ye Zhang, Xuanang Xu, Hong-Yu Zhang, 2023, Journal of Alzheimer's disease : JAD.

Shape description losses for medical image segmentation

Sheng Xu, B. Turkbey, J. Xia, 2023, Machine Vision and Applications.