Outline

Construct feature matrices from GM volumes, cortical thickness, and functional connectivity edges • Perform feature selection, nested cross‑validation, and model evaluation (AUC‑ROC, balanced accuracy) • Implement SVM, Random Forest, and LASSO pipelines on structural and diffusion metrics

Outline

Build 3D‑CNN, ResNet‑3D, and DenseNet‑3D models for volumetric T1w classification • Explore Vision Transformers (ViT) and Graph Neural Networks for multimodal fusion • Apply U‑Net for hippocampal segmentation and interpret models with GradCAM, Integrated Gradients, LIME, SHAP

Outline

Learn TRIPOD‑AI reporting, FDA SaMD considerations, and API inference skeletons • Integrate multi‑site harmonization (ComBat) and external validation on ADNI datasets • Design deployment pipelines for real‑time cognitive‑decline risk scoring

Outline

Implement SHAP DeepExplainer and attention‑map visualisation for model transparency • Assess bias, fairness, and privacy in neuroimaging AI pipelines • Document reproducible research workflows using Jupyter and Git

Outline

Apply end‑to‑end pipeline on a real ADNI subset to predict MCI‑to‑AD conversion • Generate a clinical report with model performance, interpretability visualisations, and deployment script • Present findings to peer mentors and receive feedback for improvement