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.
- Textbooks: links to various textbooks
- 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
- Variational Bayes
- Markov Random Fields: MRFs and Boltzmann machines (+ some expectation-propagtion vs mean-field)
- Ex Vivo MRI: Resources for scanning dead brains
- Vasculature: Vascular/Microvascular anatomy and modeling