Research Areas
My research focuses on developing innovative algorithms for medical image analysis and machine learning, with particular emphasis in the following core areas:
Medical Image Analysis
Developing advanced deep learning algorithms for medical image processing, segmentation, and classification. Current focus includes:
- Fluoroscopy/X-Ray image analysis
- Multi-modal medical image processing
- Automated disease detection, classification and segmentation
Domain Adaptation
Innovation in learning from limited data samples through:
- Domain adaptive learning approaches
- Novel neural network architectures
- Transfer learning strategies
Visual-Language Representation
Exploring the intersection of vision and language through:
- Multi-modal learning frameworks
- Cross-modal representation learning