2025
A graph-and image-aware framework with contrastive regularization for robust cephalometric landmark detection under anatomical variability.
- Cephalometric
- Landmark Detection
- CMF
- Deep Learning
2024
A patient-specific reference model framework for orthognathic surgical planning that improves anatomical correspondence and supports more reliable downstream simulation.
- surgical planning
- reference model
- deep learning
2024
A correspondence-aware attention model for patient-specific facial appearance simulation in craniomaxillofacial surgical planning.
- facial simulation
- deep learning
- correspondence attention
2023
A spatiotemporal incremental mechanics model that captures continuous facial soft-tissue deformation for CMF surgical simulation.
- CMF
- Soft Tissue
- Simulation
- Mechanics
2023
A tri-axially factorized low-rank transformer that reduces computational cost while maintaining high segmentation accuracy. (Corresponding author: Xi Fang)
- Transformer
- Segmentation
- Efficiency
- Deep Learning
2023
- segmentation
- shape modeling
2022
- biomechanics
- facial tissue
- deep learning
2021
- covid-19
- clinical imaging
- deep learning
2021
A multimodal outcome prediction framework combining imaging and clinical signals to assess COVID-19 patient risk.
- covid-19
- multimodal analysis
- deep learning
2020
- dose estimation
- CT
- segmentation
2020
A multi-scale deep learning method for robust multi-organ segmentation when training data is only partially labeled.
- segmentation
- multi-organ
- partial labels
- deep learning
2020
- liver segmentation
- intervention
- deep learning
2019
Deep learning–based multi-organ segmentation enabling rapid, patient-specific Monte-Carlo dose estimation.
- Segmentation
- Dose Estimation
- Medical Physics