Jhe Jia Wu

Specializing in computer vision, medical imaging, active learning, federated learning, and model explainability. Research interests focus on improving efficiency, accuracy, and interpretability of deep learning models. Integrated 3D Slicer with MONAI Label for medical imaging segmentation tasks, leading to further exploration of uncertainty quantification. Currently working on an 'Uncertainty-Guided Active Learning by Evidential Deep Learning' pipeline to enhance annotation efficiency and model reliability through uncertainty estimation. Experience in federated learning and contributions to the Ministry of Health and Welfare's Personalized Liver Cancer Risk Prediction project. Skilled in blending statistical modeling and deep learning for interpretable AI systems.