External resources

Alzheimer’s disease

Clinical context

• Alzheimer’s association

• Advances in Alzheimer’s Disease: Imaging and Biomarker Research (Video by Dr Philip Scheltens)

• Imaging biomarkers in Alzheimer’s disease (Book chapter by Dr Carole Sudre et al.)

Public datasets

• Alzheimer’s Disease Neuroimaging Initiative

• Australian Imaging Biomarkers and Lifestyle

• Open Access Series of Imaging Studies

Deep learning

Courses

• Introduction to Deep Learning by MIT

• Deep Learning by Andrew Ng

• Convolutional Neural Networks for Visual Recognition by Stanford University

Books

• Deep Learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville

• Deep Learning with Python by François Chollet

• Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron

Convolutional neural networks

• AlexNet

• VGGNet

• Inception

• ResNet

• Xception

Generative models

• Variational Autoencoder

• Generative Adversarial Network

• Conditional Generative Adversarial Network

• Cycle Generative Adversarial Network

Recurrent neural networks

• Vanilla Recurrent Neural Network

• Long Short-Term Memory

• Gated Recurrent Unit

Software

Neuroimaging

• FreeSurfer: An open source software suite for processing and analyzing (human) brain MRI images

• Statistical Parametric Mapping: Analysis of Brain Imaging Data Sequences

• FMRIB Software Library: A fMRI, MRI and DTI analysis software]

• Nipype: Neuroimaging in Python - Pipelines and Interfaces

• BIDS Apps: Portable neuroimaging pipelines that understand BIDS datasets

• Clinica: A software platform for clinical neuroimaging studies

Data analysis

• PyTorch: An Imperative Style, High-Performance Deep Learning Library

• TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems

• scikit-learn: Machine Learning in Python

• Clinica: A software platform for clinical neuroimaging studies

• ClinicaDL: A framework for the reproducible classification of Alzheimer’s disease using deep learning

Deep learning for computer-aided diagnosis from images

Medical image synthesis with deep learning