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
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
Welcome to the Deep Learning Tutorial
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
Neural networks class - Université de Sherbrooke
Graph Based Deep Learning Literature
Jakub Kaczmarzyk, Applications of deep learning in neuroimaging Nobrainer
understanding the Mathematics behind Suppor Vector Machines
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