Tags
2025
A graph-and image-aware framework with contrastive regularization for robust cephalometric landmark detection under anatomical variability.
2024
A patient-specific reference model framework for orthognathic surgical planning that improves anatomical correspondence and supports more reliable downstream simulation.
2024
A correspondence-aware attention model for patient-specific facial appearance simulation in craniomaxillofacial surgical planning.
2023
A soft-tissue driven planning framework that couples facial outcome modeling with craniomaxillofacial surgical decision-making.
2023
A tri-axially factorized low-rank transformer that reduces computational cost while maintaining high segmentation accuracy. (Corresponding author: Xi Fang)
2022
A deep learning framework for predicting facial soft-tissue appearance from planned craniomaxillofacial bony movement.
2022
2021
2021
A comprehensive overview of data augmentation strategies tailored for medical image segmentation, radiotherapy, and robust deep learning.
2021
A multimodal outcome prediction framework combining imaging and clinical signals to assess COVID-19 patient risk.
2020
A multi-scale deep learning method for robust multi-organ segmentation when training data is only partially labeled.
2020
2020
A unified multi-scale segmentation framework for learning across multiple partially labeled datasets with a single model.
2020