Multi-Class Active Learning by Integrating Uncertainty and Diversity. - Zengmao Wang; Xi Fang 002; Xinyao Tang; Chen Wu 003 (IEEE Access, 2018)

Multi-class Active Learning: A Hybrid Informative and Representative Criterion Inspired Approach. - Xi Fang 002; Zengmao Wang; Xinyao Tang; Chen Wu 003 (CoRR, 2018)

Division and Fusion: Rethink Convolutional Kernels for 3D Medical Image Segmentation. - Xi Fang 002; Thomas Sanford; Baris Turkbey; Sheng Xu 001; Bradford J. Wood; Pingkun Yan (MLMI@MICCAI, 2020)

Unified multi-scale feature abstraction for medical image segmentation. - Xi Fang 002; Bo Du 001; Sheng Xu 001; Bradford J. Wood; Pingkun Yan (Image Processing, 2020)

Deep learning-based liver segmentation for fusion-guided intervention. - Xi Fang 002; Sheng Xu 001; Bradford J. Wood; Pingkun Yan (Int. J. Comput. Assist. Radiol. Surg., 2020)

Multi-Organ Segmentation Over Partially Labeled Datasets With Multi-Scale Feature Abstraction. - Xi Fang 002; Pingkun Yan (IEEE Trans. Medical Imaging, 2020)

Association of AI quantified COVID-19 chest CT and patient outcome. - Xi Fang 002; Uwe Kruger 001; Fatemeh Homayounieh; Hanqing Chao; Jiajin Zhang; Subba R. Digumarthy; Chiara Daniela Arru; Mannudeep K. Kalra; Pingkun Yan (Int. J. Comput. Assist. Radiol. Surg., 2021)

Integrative analysis for COVID-19 patient outcome prediction. - Hanqing Chao; Xi Fang 002; Jiajin Zhang; Fatemeh Homayounieh; Chiara Daniela Arru; Subba R. Digumarthy; Rosa Babaei; Hadi Karimi Mobin; Iman Mohseni; Luca Saba; Alessandro Carriero; Zeno Falaschi; et al. (Medical Image Anal., 2021)

Deep Learning-Based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement. - Xi Fang 002; 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 (MICCAI (8), 2022)

Deep learning for biomechanical modeling of facial tissue deformation in orthognathic surgical planning. - Nathan Lampen; Daeseung Kim; Xi Fang 002; Xuanang Xu; Tianshu Kuang; Hannah H. Deng; Joshua C. Barber; Jaime Gateno; James J. Xia; Pingkun Yan (Int. J. Comput. Assist. Radiol. Surg., 2022)

Soft-Tissue Driven Craniomaxillofacial Surgical Planning. - Xi Fang 002; Daeseung Kim; Xuanang Xu; Tianshu Kuang; Nathan Lampen; Jungwook Lee; Hannah H. Deng; Jaime Gateno; Michael A. K. Liebschner; James J. Xia; Pingkun Yan (MICCAI (9), 2023)

Spatiotemporal Incremental Mechanics Modeling of Facial Tissue Change. - Nathan Lampen; Daeseung Kim; Xuanang Xu; Xi Fang 002; Jungwook Lee; Tianshu Kuang; Hannah H. Deng; Michael A. K. Liebschner; James J. Xia; Jaime Gateno; Pingkun Yan (MICCAI (9), 2023)

TriAxial Low-Rank Transformer for Efficient Medical Image Segmentation. - Jiang Shang; Xi Fang 002 (PRCV (2), 2023)

Shape description losses for medical image segmentation. - Xi Fang 002; Xuanang Xu; James J. Xia; Thomas Sanford; Baris Turkbey; Sheng Xu 001; Bradford J. Wood; Pingkun Yan (Mach. Vis. Appl., 2023)

Correspondence attention for facial appearance simulation. - Xi Fang 002; 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)

Patient-specific reference model estimation for orthognathic surgical planning. - Xi Fang 002; Hannah H. Deng; Tianshu Kuang; Xuanang Xu; Jungwook Lee; Jaime Gateno; Pingkun Yan (Int. J. Comput. Assist. Radiol. Surg., 2024)

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 002; Daeseung Kim; Hannah H. Deng; Jaime Gateno; Pingkun Yan (ISBI, 2025)