Learning osteoarthritis imaging biomarkers from bone surface spherical encoding

Detection of tuberculosis patterns in digital photographs of chest X-ray images using Deep Learning: feasibility study

(2018) A. S. Becker et al.   INTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE

Super-resolution musculoskeletal MRI using deep learning

(2018) Akshay S. Chaudhari et al.   MAGNETIC RESONANCE IN MEDICINE

Use of 2D U-Net Convolutional Neural Networks for Automated Cartilage and Meniscus Segmentation of Knee MR Imaging Data to Determine Relaxometry and Morphometry

(2018) Berk Norman et al.   RADIOLOGY

Detecting and classifying lesions in mammograms with Deep Learning

(2018) Dezső Ribli et al.   Scientific Reports

Fully Automated Deep Learning System for Bone Age Assessment

(2017) Hyunkwang Lee et al.   JOURNAL OF DIGITAL IMAGING

Deep convolutional neural network and 3D deformable approach for tissue segmentation in musculoskeletal magnetic resonance imaging

(2017) Fang Liu et al.   MAGNETIC RESONANCE IN MEDICINE

Classifications in Brief: Kellgren-Lawrence Classification of Osteoarthritis

(2016) Mark D. Kohn et al.   CLINICAL ORTHOPAEDICS AND RELATED RESEARCH

Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring

(2016) Michiel Kallenberg et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Machine Learning in Genomic Medicine: A Review of Computational Problems and Data Sets

(2016) Michael K. K. Leung et al.   PROCEEDINGS OF THE IEEE

Alternative Methods for Defining Osteoarthritis and the Impact on Estimating Prevalence in a US Population-Based Survey

(2016) Miriam G. Cisternas et al.   ARTHRITIS CARE & RESEARCH

Longitudinal validation of periarticular bone area and 3D shape as biomarkers for knee OA progression? Data from the FNIH OA Biomarkers Consortium

(2015) David Hunter et al.   ANNALS OF THE RHEUMATIC DISEASES

Fully automatic analysis of the knee articular cartilageT1ρrelaxation time using voxel-based relaxometry

(2015) Valentina Pedoia et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Deep learning

(2015) Yann LeCun et al.   NATURE

Three-dimensional MRI-based statistical shape model and application to a cohort of knees with acute ACL injury

(2015) V. Pedoia et al.   OSTEOARTHRITIS AND CARTILAGE

The global burden of hip and knee osteoarthritis: estimates from the Global Burden of Disease 2010 study

(2014) Marita Cross et al.   ANNALS OF THE RHEUMATIC DISEASES

Proximal femur shape differs between subjects with lateral and medial knee osteoarthritis and controls: the Osteoarthritis Initiative

(2014) B.L. Wise et al.   OSTEOARTHRITIS AND CARTILAGE

A novel method for bone area measurement provides new insights into osteoarthritis and its progression

(2013) Michael A Bowes et al.   ANNALS OF THE RHEUMATIC DISEASES

Magnetic Resonance Imaging-Based Three-Dimensional Bone Shape of the Knee Predicts Onset of Knee Osteoarthritis: Data From the Osteoarthritis Initiative

(2013) Tuhina Neogi et al.   ARTHRITIS AND RHEUMATISM

Variant alleles of the Wnt antagonist FRZB are determinants of hip shape and modify the relationship between hip shape and osteoarthritis

(2012) Julie C. Baker-LePain et al.   ARTHRITIS AND RHEUMATISM

Statistical shape modeling of proximal femoral shape deformities in Legg–Calvé–Perthes disease and slipped capital femoral epiphysis

(2012) E.F. Chan et al.   OSTEOARTHRITIS AND CARTILAGE

Unsupervised learning of hierarchical representations with convolutional deep belief networks

(2011) Honglak Lee et al.   COMMUNICATIONS OF THE ACM

Statistical shape modeling describes variation in tibia and femur surface geometry between Control and Incidence groups from the Osteoarthritis Initiative database

(2010) Todd L. Bredbenner et al.   JOURNAL OF BIOMECHANICS

The association of proximal femoral shape and incident radiographic hip OA in elderly women

(2009) J.A. Lynch et al.   OSTEOARTHRITIS AND CARTILAGE

The osteoarthritis initiative: report on the design rationale for the magnetic resonance imaging protocol for the knee

(2008) C.G. Peterfy et al.   OSTEOARTHRITIS AND CARTILAGE