Yan, Pingkun

2024

Patient-specific reference model estimation for orthognathic surgical planning

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

2020

Division and fusion: rethink convolutional kernels for 3D medical image segmentation

• segmentation
• 3D CNN
• kernel design

2020

A method of rapid quantification of patient‐specific organ doses for CT using deep-learning‐based multi-organ segmentation and GPU‐accelerated Monte Carlo dose computing

• dose estimation
• CT
• segmentation

2020

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

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

Deep learning-based liver segmentation for fusion-guided intervention

• liver segmentation
• intervention
• deep learning

2020

Unified multi-scale feature abstraction for medical image segmentation

• segmentation
• multi-scale
• deep learning