Medical AI
Medical image classification, segmentation, diagnosis, and clinical decision support.
Medical image classification, segmentation, diagnosis, and clinical decision support.
Classical–quantum architectures for representation learning and pattern recognition.
Explainability, uncertainty estimation, calibration, and model robustness.
Continual learning, machine unlearning, and knowledge editing.