Publications

Jul 2024 · International Journal of Computer Assisted Radiology and Surgery

Patient-specific reference model estimation for orthognathic surgical planning

Xi Fang, Hannah H Deng, Tianshu Kuang, Xuanang Xu, Jungwook Lee, Jaime Gateno, Pingkun Yan

IPCAI oral, Nvidia Bench-to-Bedside RunnerUp Award

A patient-specific reference model framework for orthognathic surgical planning that improves anatomical correspondence and supports more reliable downstream simulation.

Jan 2024 · Medical Image Analysis

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, et al.

A correspondence-aware attention model for patient-specific facial appearance simulation in craniomaxillofacial surgical planning.

Oct 2023 · International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)

Soft-tissue driven craniomaxillofacial surgical planning

Xi Fang, Daeseung Kim, Xuanang Xu, Tianshu Kuang, Nathan Lampen, Jungwook Lee, et al.

A soft-tissue driven planning framework that couples facial outcome modeling with craniomaxillofacial surgical decision-making.

Sep 2022 · International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)

Deep learning-based facial appearance simulation driven by surgically planned craniomaxillofacial bony movement

Xi Fang, Daeseung Kim, Xuanang Xu, Tianshu Kuang, Hannah H Deng, J. C. Barber, et al.

MICCAI oral · Best of MICCAI · MICCAI Young Scientist Award

A deep learning framework for predicting facial soft-tissue appearance from planned craniomaxillofacial bony movement.

Jan 2021 · Medical Image Analysis

Integrative analysis for COVID-19 patient outcome prediction

Hanqing Chao*, Xi Fang*, Jiajin Zhang*, Fatemeh Homayounieh, Chiara D. Arru, Subba R. Digumarthy, et al.

A multimodal outcome prediction framework combining imaging and clinical signals to assess COVID-19 patient risk.

Jun 2020 · IEEE Transactions on Medical Imaging

Multi-organ segmentation over partially labeled datasets with multi-scale feature abstraction

Xi Fang, Pingkun Yan

A multi-scale deep learning method for robust multi-organ segmentation when training data is only partially labeled.