Xi Fang

According to our database, Xi Fang authored at least 17 papers between 2018 and 2025.

Collaborative distances:

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

2025

Cephalometric Landmark Detection Using Graph- and Image-Aware Network with Landmark Contrastive Regularization.

Xuanang Xu, Tianshu Kuang, Anwei Chen, Nathan Lampen, Jungwook Lee, Xi Fang, Daeseung Kim, Hannah H. Deng, Jaime Gateno, Pingkun Yan

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

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

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

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

TriAxial Low-Rank Transformer for Efficient Medical Image Segmentation.

Jiang Shang, Xi Fang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 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

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 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

Integrative analysis for COVID-19 patient outcome prediction.

Hanqing Chao, Xi Fang, Jiajin Zhang, Fatemeh Homayounieh, Chiara Daniela Arru, Subba R. Digumarthy, Rosa Babaei, Hadi Karimi Mobin, Iman Mohseni, Luca Saba, Alessandro Carriero, Zeno Falaschi, Alessio Pasche, Ge Wang, Mannudeep K. Kalra, Pingkun Yan

Medical Image Anal., 2021

Association of AI quantified COVID-19 chest CT and patient outcome.

Xi Fang, Uwe Kruger, Fatemeh Homayounieh, Hanqing Chao, Jiajin Zhang, Subba R. Digumarthy, Chiara Daniela Arru, Mannudeep K. Kalra, Pingkun Yan

Int. J. Comput. Assist. Radiol. Surg., 2021

2020

Multi-Organ Segmentation Over Partially Labeled Datasets With Multi-Scale Feature Abstraction.

Xi Fang, Pingkun Yan

IEEE Trans. Medical Imaging, 2020

Deep learning-based liver segmentation for fusion-guided intervention.

Xi Fang, Sheng Xu, Bradford J. Wood, Pingkun Yan

Int. J. Comput. Assist. Radiol. Surg., 2020

Unified multi-scale feature abstraction for medical image segmentation.

Xi Fang, Bo Du, Sheng Xu, Bradford J. Wood, Pingkun Yan

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Division and Fusion: Rethink Convolutional Kernels for 3D Medical Image Segmentation.

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

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

2018

Multi-class Active Learning: A Hybrid Informative and Representative Criterion Inspired Approach.

Xi Fang, Zengmao Wang, Xinyao Tang, Chen Wu

CoRR, 2018

Multi-Class Active Learning by Integrating Uncertainty and Diversity.

Zengmao Wang, Xi Fang, Xinyao Tang, Chen Wu

IEEE Access, 2018