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Efficient, learning based computational methods:
- Active Models
- Marginal Space Learning
Hierarchical, part based statistical modeling using machine learning for: - Object detection and segmentation
- Integrating detection and tracking
Applications to medical imaging: - 2D/3D detection or structures of interest: tumors, nodules, landmarks, organs
- 2D/3D thin, flexible structure localization and tracking (e.g catheter, guidewire)
- 2D/3D vessel segmentation
- 3D segmentation of brain structures
- 3D organ segmentation (liver, kidney, lungs, polyps, etc)
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