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Xi 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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last updated on 2026-01-29 03:49 CET by the dblp team
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