Literature review

This repository contains small literature reviews on different aspects of machine learning and medical imaging.
Sometimes with nice notes, more often just a list of references.

Table of content

• Textbooks: links to various textbooks

Neural Nets

• U-Net: a look at the history of this architecture
• Res-Net: residual networks, residual blocks, etc
• Registration nets: a mix between spatial transformers and reigstration networks
• Classification losses: Bayes-optimality
• Bayesian nets: Dropout and uncertainty estimation with neural nets
• Atrous nets: Dilating instead of pooling
• GANs: Generative adversarial networks
• Image translation

Old School Machine Learning

• Variational Bayes
• Markov Random Fields: MRFs and Boltzmann machines (+ some expectation-propagtion vs mean-field)

MRI / Anatomy

• Ex Vivo MRI: Resources for scanning dead brains
• Vasculature: Vascular/Microvascular anatomy and modeling