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ORCIDXi Fang 0002
Person information
- affiliation (PhD 2023): Rensselaer Polytechnic Institute, Department of Biomedical Engineering and Center for Biotechnology and Interdisciplinary Studies, Troy, NY, USA
Other persons with the same name
- Xi Fang — disambiguation page
- Xi Fang 0001 — Arizona State University, Department of Computer Science, Tempe, AZ, USA
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2020 – today
- 2025
[c7]Xuanang Xu, Tianshu Kuang, Anwei Chen, Nathan Lampen, Jungwook Lee, Xi Fang, Daeseung Kim, Hannah H. Deng, Jaime Gateno, Pingkun Yan:
Cephalometric Landmark Detection Using Graph- and Image-Aware Network with Landmark Contrastive Regularization. ISBI 2025: 1-5- 2024
- [j9]Xi Fang
, Hannah H. Deng, Tianshu Kuang, Xuanang Xu, Jungwook Lee, Jaime Gateno, Pingkun Yan:
Patient-specific reference model estimation for orthognathic surgical planning. Int. J. Comput. Assist. Radiol. Surg. 19(7): 1439-1447 (2024) - [j8]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:
Correspondence attention for facial appearance simulation. Medical Image Anal. 93: 103094 (2024) - 2023
- [j7]Xi Fang, Xuanang Xu, James J. Xia, Thomas Sanford, Baris Turkbey, Sheng Xu, Bradford J. Wood, Pingkun Yan:
Shape description losses for medical image segmentation. Mach. Vis. Appl. 34(4): 57 (2023) - [c6]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:
Soft-Tissue Driven Craniomaxillofacial Surgical Planning. MICCAI (9) 2023: 186-195 - [c5]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:
Spatiotemporal Incremental Mechanics Modeling of Facial Tissue Change. MICCAI (9) 2023: 566-575 - [c4]Jiang Shang, Xi Fang:
TriAxial Low-Rank Transformer for Efficient Medical Image Segmentation. PRCV (2) 2023: 91-102 - [i6]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:
Soft-tissue Driven Craniomaxillofacial Surgical Planning. CoRR abs/2307.10954 (2023) - 2022
- [j6]Nathan Lampen, Daeseung Kim, Xi Fang, Xuanang Xu, Tianshu Kuang, Hannah H. Deng, Joshua C. Barber, Jaime Gateno, James J. Xia, Pingkun Yan:
Deep learning for biomechanical modeling of facial tissue deformation in orthognathic surgical planning. Int. J. Comput. Assist. Radiol. Surg. 17(5): 945-952 (2022) - [c3]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:
Deep Learning-Based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement. MICCAI (8) 2022: 565-574 - [i5]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:
Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement. CoRR abs/2210.01685 (2022) - 2021
- [j5]Xi Fang, Uwe Kruger, Fatemeh Homayounieh, Hanqing Chao, Jiajin Zhang, Subba R. Digumarthy, Chiara Daniela Arru, Mannudeep K. Kalra, Pingkun Yan:
Association of AI quantified COVID-19 chest CT and patient outcome. Int. J. Comput. Assist. Radiol. Surg. 16(3): 435-445 (2021) - [j4]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:
Integrative analysis for COVID-19 patient outcome prediction. Medical Image Anal. 67: 101844 (2021) - 2020
- [j3]Xi Fang, Sheng Xu, Bradford J. Wood, Pingkun Yan:
Deep learning-based liver segmentation for fusion-guided intervention. Int. J. Comput. Assist. Radiol. Surg. 15(6): 963-972 (2020) - [j2]Xi Fang, Pingkun Yan:
Multi-Organ Segmentation Over Partially Labeled Datasets With Multi-Scale Feature Abstraction. IEEE Trans. Medical Imaging 39(11): 3619-3629 (2020) - [c2]Xi Fang, Thomas Sanford, Baris Turkbey, Sheng Xu, Bradford J. Wood, Pingkun Yan:
Division and Fusion: Rethink Convolutional Kernels for 3D Medical Image Segmentation. MLMI@MICCAI 2020: 160-169 - [c1]Xi Fang, Bo Du, Sheng Xu, Bradford J. Wood, Pingkun Yan:
Unified multi-scale feature abstraction for medical image segmentation. Image Processing 2020: 1131319 - [i4]Xi Fang, Pingkun Yan:
Multi-organ Segmentation over Partially Labeled Datasets with Multi-scale Feature Abstraction. CoRR abs/2001.00208 (2020) - [i3]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:
Integrative Analysis for COVID-19 Patient Outcome Prediction. CoRR abs/2007.10416 (2020)
2010 – 2019
- 2019
- [i2]Xi Fang, Bo Du, Sheng Xu, Bradford J. Wood, Pingkun Yan:
Unified Multi-scale Feature Abstraction for Medical Image Segmentation. CoRR abs/1910.11456 (2019) - 2018
- [j1]Zengmao Wang, Xi Fang, Xinyao Tang, Chen Wu:
Multi-Class Active Learning by Integrating Uncertainty and Diversity. IEEE Access 6: 22794-22803 (2018) - [i1]Xi Fang, Zengmao Wang, Xinyao Tang, Chen Wu:
Multi-class Active Learning: A Hybrid Informative and Representative Criterion Inspired Approach. CoRR abs/1803.02222 (2018)
Coauthor Index
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