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Christoph M. Friedrich

Explainable AI in medical imaging: An overview for clinical practitioners – Beyond saliency-based XAI approaches
Explainable AI in medical imaging: An overview for clinical practitioners – Saliency-based XAI approaches
Data analysis with Shapley values for automatic subject selection in Alzheimer’s disease data sets using interpretable machine learning
Comparison of Automated Volume Extraction with FreeSurfer and FastSurfer for Early Alzheimer's Disease Detection with Machine Learning
Deep learning in diabetic foot ulcers detection: A comprehensive evaluation
Developing a Machine Learning Workflow to Explain Black-box Models for Alzheimer's Disease Classification
Using Bayesian Optimization to Effectively Tune Random Forest and XGBoost Hyperparameters for Early Alzheimer’s Disease Diagnosis
The NanoDefine Methods Manual
NanoDefiner e Tool An Implemented Decision Support Framework for Nanomaterial Identification
Server-focused security assessment of mobile health apps for popular mobile platforms
Nano or Not Nano? A Structured Approach for Identifying Nanomaterials According to the European Commission’s Definition
Classification of Alzheimer’s Disease using volumetric features of multiple MRI scans

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