MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide

Brain age prediction using deep learning uncovers associated sequence variants

(2019) B. A. Jonsson et al.   Nature Communications

Predicting age from cortical structure across the lifespan

(2018) Christopher R. Madan et al.   EUROPEAN JOURNAL OF NEUROSCIENCE

Brain age and other bodily ‘ages’: implications for neuropsychiatry

(2018) James H. Cole et al.   MOLECULAR PSYCHIATRY

Structural neuroimaging as clinical predictor: A review of machine learning applications

(2018) José María Mateos-Pérez et al.   NeuroImage-Clinical

Medical Image Analysis using Convolutional Neural Networks: A Review

(2018) Syed Muhammad Anwar et al.   JOURNAL OF MEDICAL SYSTEMS

A Nonlinear Simulation Framework Supports Adjusting for Age When Analyzing BrainAGE

(2018) Trang T. Le et al.   Frontiers in Aging Neuroscience

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

(2017) Zeynettin Akkus et al.   JOURNAL OF DIGITAL IMAGING

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

(2017) Konstantinos Kamnitsas et al.   MEDICAL IMAGE ANALYSIS

Brain age predicts mortality

(2017) J H Cole et al.   MOLECULAR PSYCHIATRY

Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker

(2017) James H. Cole et al.   NEUROIMAGE

Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls

(2017) Mohammad R. Arbabshirani et al.   NEUROIMAGE

Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: Methods and applications

(2017) Sandra Vieira et al.   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

OUP accepted manuscript

(2017)   SCHIZOPHRENIA BULLETIN

Multisite Machine Learning Analysis Provides a Robust Structural Imaging Signature of Schizophrenia Detectable Across Diverse Patient Populations and Within Individuals

(2017) Martin Rozycki et al.   SCHIZOPHRENIA BULLETIN

Predicting Age Using Neuroimaging: Innovative Brain Ageing Biomarkers

(2017) James H. Cole et al.   TRENDS IN NEUROSCIENCES

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

(2016) Nima Tajbakhsh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Advanced brain aging: relationship with epidemiologic and genetic risk factors and overlap with Alzheimer disease atrophy patterns

(2016) M Habes et al.   Translational Psychiatry

UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age

(2015) Cathie Sudlow et al.   PLOS MEDICINE

The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

(2014) Paul M. Thompson et al.   Brain Imaging and Behavior

Imaging Patterns of Brain Development and their Relationship to Cognition

(2014) G. Erus et al.   CEREBRAL CORTEX

Multi-Atlas Skull-Stripping

(2013) Jimit Doshi et al.   ACADEMIC RADIOLOGY

Human neuroimaging as a “Big Data” science

(2013) John Darrell Van Horn et al.   Brain Imaging and Behavior

Critical ages in the life course of the adult brain: nonlinear subcortical aging

(2013) Anders M. Fjell et al.   NEUROBIOLOGY OF AGING

BrainAGE in Mild Cognitive Impaired Patients: Predicting the Conversion to Alzheimer’s Disease

(2013) Christian Gaser et al.   PLoS One

Advanced BrainAGE in older adults with type 2 diabetes mellitus

(2013) Katja Franke et al.   Frontiers in Aging Neuroscience

Neuroanatomical Assessment of Biological Maturity

(2012) Timothy T. Brown et al.   CURRENT BIOLOGY

Mapping the Human Connectome

(2012) Arthur W. Toga et al.   NEUROSURGERY

N4ITK: Improved N3 Bias Correction

(2010) Nicholas J Tustison et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: Exploring the influence of various parameters

(2010) Katja Franke et al.   NEUROIMAGE

Prediction of Individual Brain Maturity Using fMRI

(2010) Nico U. F. Dosenbach et al.   SCIENCE

Longitudinal progression of Alzheimer's-like patterns of atrophy in normal older adults: the SPARE-AD index

(2009) C. Davatzikos et al.   BRAIN