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:
- Histopathology image analysis
- Multi-modal medical image processing
- Automated disease detection and classification
Few-Shot Learning
Innovation in learning from limited data samples through:
- Novel neural network architectures
- Transfer learning strategies
- Meta-learning approaches
Visual-Language Representation
Exploring the intersection of vision and language through:
- Multi-modal learning frameworks
- Cross-modal representation learning
- Image text retrieval