Using deep autoencoders to identify abnormal brain structural patterns in neuropsychiatric disorders: A large‐scale multi‐sample study

Author:

Pinaya Walter H. L.123ORCID,Mechelli Andrea3,Sato João R.1

Affiliation:

1. Center of Mathematics, Computing, and CognitionUniversidade Federal do ABC São Bernardo do Campo SP Brazil

2. Center for Engineering, Modeling and Applied Social SciencesUniversidade Federal do ABC São Bernardo do Campo SP Brazil

3. Department of Psychosis StudiesInstitute of Psychiatry, Psychology & Neuroscience, King's College London London UK

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Wiley

Subject

Clinical Neurology,Neurology,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Reference61 articles.

1. AbadiM AgarwalA BarhamP BrevdoE ChenZ CitroC CorradoGS DavisA DeanJ DevinM(2016). Tensorflow: Large‐scale machine learning on heterogeneous distributed systems.arXiv Preprint arXiv160304467.

2. Neuroimaging in psychiatry: an update

3. Assessing accuracy of automated segmentation methods for brain lateral ventricles in MRI data;Bhalla M.;Queen's Science Undergraduate Research Journal,2015

4. Grey matter abnormality in autism spectrum disorder: an activation likelihood estimation meta-analysis study

5. CheungB LivezeyJA BansalAK OlshausenBA(2014): Discovering hidden factors of variation in deep networks.arXiv.1412.6583: 1–10.

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