This repository contains the code written for the practical course "Machine Learning in Medical Imaging" at TU Munich (SS16) covering a variety of machine learning topics:

• Jupyter Notebooks:

  • Assignment 2: Principal Component Analysis (PCA), K-Means
    • 2.1 PCA
    • 2.2 Heart disease
    • 2.3 K-means
  • Assignment 3: Logistic Regression, Precision-Recall, ROC, Cross-Validation
    • 3.1 - 3.3 Linear Classifier + Evaluation
  • Assignment 4: Support Vector Machines (SVM)
    • 4.1 Toy dataset
    • 4.2 MNIST Digit Recognition
  • Assignment 5: Random Forests
    • 5.1 Random Forests

• MATLAB

  • Assignment 6: Sparse Autoencoder
    • code
  • Assignment 7: Convolutional Neural Networks (CNNs)
    • code