2025
DEPT: Deep Extreme Point Tracing for ultrasound image segmentation
Independent research and mentoring work on ultrasound image segmentation, leading to the DEPT method and an IEEE GLOBECOM publication.
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2025
Independent research and mentoring work on ultrasound image segmentation, leading to the DEPT method and an IEEE GLOBECOM publication.
2023
Efficient 3D transformer development and self-supervised pretraining for transferable medical image foundation models.
2022
A deep learning framework for predicting facial soft-tissue appearance from planned craniomaxillofacial bony movement.
2021
Shape-aware objectives that inject global geometric and statistical structure into medical image segmentation training.
2021
A comprehensive overview of data augmentation strategies tailored for medical image segmentation, radiotherapy, and robust deep learning.
2020
Multimodal patient outcome prediction combining CT imaging and non-imaging clinical signals for COVID-19 risk assessment.
2020
A unified multi-scale segmentation framework for learning across multiple partially labeled datasets with a single model.
2017
Deep learning internship on lung nodule detection with clinical collaborators at Tongji Hospital, Wuhan.