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Deep-Learning-in-Neuroimaging

Table of content

Ken Chang & Andrew Beers: Brainhack 2018 Boston Deep Learning

Janaina Mourao Miranda: Mental Health through the lens of Machine Learning applied to Neuroimaging

Chris Holdgraf: Machine learning for neuroimaging]

Machine learning for neuroimaing

Deep learning with Keras

Convolutional neural networks

Yoshua Bengio: Deep learning and Backprop in the Brain (CCN 2017)

Blake Richards: Deep learning in The Brain

Machine learning for neuroscience: HMMs, reinforcement learning, and deep learning

AI for Neuroscience & Neuroscience for AI

Interpretation of Deep Learning Algorithms for Neuroimaging

Deep learning approaches applied to neuro-imaging

Deep Learning for Segmenting Infant MRI

Hands-on Deep Learning with Keras

Interpretation of Deep Learning Algorithms for Neuroimaging

Machine learning on fMRI data. For science - Nick Allgaier

Overview of Modern Machine Learning and Deep Neural Networks Impact on Imaging

Tutorials / Courses

Welcome to the Deep Learning Tutorial

OHBM 2019 Tutorial Session

Mini Course in Deep Learning with PyTorch for AIMS

Deep Learning Book by MIT and more from here

Graph Convolutional Networks: Models and Applications

Machine Learning with Graphs: Standford CS224W Course

Representation Learning on Netwoks: Standford Course Tutorial

Deep Learning for Human Brain Mapping

Deep Learning Book

Neural networks class - Université de Sherbrooke

Graph Based Deep Learning Literature

Jakub Kaczmarzyk, Applications of deep learning in neuroimaging Nobrainer

Full Stack Deep Learning

Machine Learning Course Notes

Introduction to Deep Learning

Crush tutorial on GCNs

Machine Tips and Resources

understanding the Mathematics behind Suppor Vector Machines

Machine Learning Explained

Articles

Veira et al., 2017 Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: Methods and applications

Ahmed-Aristizabal et al. 2021 Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future

Veira et al., 2019 Using Machine Learning and Structural Neuroimaging to Detect First Episode Psychosis: Reconsidering the Evidence

Abaham et al., 2014 Machine learning for neuroimaging with scikit-learn

Ven et al., 2018 Deep Learning Methods to Process fMRI Data and Their Application in the Diagnosis of Cognitive Impairment: A Brief Overview and Our Opinion

Pereira et al., 2009 Machine learning classifiers and fMRI: a tutorial overview

Riaz et al. Deep fMRI: An End-to-end Deep Network for Classification of fMRI Data

Kia et al., 2019 Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data

Varoquaux et al., 2014 How machine learning is shaping cognitive neuroimaging

Bzdok et al., 2018 Machine Learning for Precision Psychiatry: Opportunities and Challenges

Lee et al., 2017 Deep Learning in Medical Imaging: General Overview

Coutanche & Hallion, 2019, Machine Learning for Clinical Psychology and Clinical Neuroscience

Bacciu et al., 2019 A Gentle Introduction to Deep Learning for Graphs

Can Graph Neural Networks to Resolve Real World Problems

DNN vs Human Reviews: A list of Reviews and Papers

Abrol et al., 2021

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