Identifying Scoliosis in Population-Based Cohorts: Automation of a Validated Method Based on Total Body Dual Energy X-ray Absorptiometry Scans

Deep learning for classifying fibrotic lung disease on high-resolution computed tomography: a case-cohort study

(2018) Simon L F Walsh et al.   Lancet Respiratory Medicine

Association between physical activity and scoliosis: a prospective cohort study

(2018) Jon H Tobias et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

ISSLS PRIZE IN BIOENGINEERING SCIENCE 2017: Automation of reading of radiological features from magnetic resonance images (MRIs) of the lumbar spine without human intervention is comparable with an expert radiologist

(2017) Amir Jamaludin et al.   EUROPEAN SPINE JOURNAL

SpineNet: Automated classification and evidence visualization in spinal MRIs

(2017) Amir Jamaludin et al.   MEDICAL IMAGE ANALYSIS

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

The Impact of Small Spinal Curves in Adolescents Who Have Not Presented to Secondary Care

(2016) Emma M. Clark et al.   SPINE

Association Between Components of Body Composition and Scoliosis: A Prospective Cohort Study Reporting Differences Identifiable Before the Onset of Scoliosis

(2014) Emma M Clark et al.   JOURNAL OF BONE AND MINERAL RESEARCH

Identifying Scoliosis in Population-Based Cohorts: Development and Validation of a Novel Method Based on Total-Body Dual-Energy X-Ray Absorptiometric Scans

(2013) Hilary J. Taylor et al.   CALCIFIED TISSUE INTERNATIONAL

Cohort Profile: The Avon Longitudinal Study of Parents and Children: ALSPAC mothers cohort

(2012) A. Fraser et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Cohort Profile: The ‘Children of the 90s’—the index offspring of the Avon Longitudinal Study of Parents and Children

(2012) Andy Boyd et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Adolescent idiopathic scoliosis

(2008) Stuart L Weinstein et al.   LANCET