Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data

Development of a prediction model for future risk of radiographic hip osteoarthritis

(2018) F. Saberi Hosnijeh et al.   OSTEOARTHRITIS AND CARTILAGE

General Practitioners Referring Adults to MR Imaging for Knee Pain: A Randomized Controlled Trial to Assess Cost-effectiveness

(2018) Kim van Oudenaarde et al.   RADIOLOGY

Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach

(2018) Aleksei Tiulpin et al.   Scientific Reports

Development and validation of prediction models to estimate risk of primary total hip and knee replacements using data from the UK: two prospective open cohorts using the UK Clinical Practice Research Datalink

(2018) Dahai Yu et al.   ANNALS OF THE RHEUMATIC DISEASES

Applying Densely Connected Convolutional Neural Networks for Staging Osteoarthritis Severity from Plain Radiographs

(2018) Berk Norman et al.   JOURNAL OF DIGITAL IMAGING

Machine-learning-based patient-specific prediction models for knee osteoarthritis

(2018) Afshin Jamshidi et al.   Nature Reviews Rheumatology

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Subchondral tibial bone texture analysis predicts knee osteoarthritis progression: data from the Osteoarthritis Initiative

(2017) T. Janvier et al.   OSTEOARTHRITIS AND CARTILAGE

Subchondral tibial bone texture predicts the incidence of radiographic knee osteoarthritis: data from the Osteoarthritis Initiative

(2017) T. Janvier et al.   OSTEOARTHRITIS AND CARTILAGE

Impact of total knee replacement practice: cost effectiveness analysis of data from the Osteoarthritis Initiative

(2017) Bart S Ferket et al.   BMJ-British Medical Journal

Impact of total knee replacement practice: cost effectiveness analysis of data from the Osteoarthritis Initiative

(2017) Bart S Ferket et al.   BMJ-British Medical Journal

Robust and Accurate Shape Model Matching Using Random Forest Regression-Voting

(2015) Claudia Lindner et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets

(2015) Takaya Saito et al.   PLoS One

On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

(2015) Sebastian Bach et al.   PLoS One

Prediction model for knee osteoarthritis incidence, including clinical, genetic and biochemical risk factors

(2013) H J M Kerkhof et al.   ANNALS OF THE RHEUMATIC DISEASES

Quantitative Radiographic Features of Early Knee Osteoarthritis: Development Over 5 Years and Relationship with Symptoms in the CHECK Cohort

(2012) M. B. KINDS et al.   JOURNAL OF RHEUMATOLOGY

Trabecular morphometry by fractal signature analysis is a novel marker of osteoarthritis progression

(2009) Virginia Byers Kraus et al.   ARTHRITIS AND RHEUMATISM

Joint space narrowing and Kellgren–Lawrence progression in knee osteoarthritis: an analytic literature synthesis

(2008) P.S. Emrani et al.   OSTEOARTHRITIS AND CARTILAGE

Location specific radiographic joint space width for osteoarthritis progression

(2008) G. Neumann et al.   OSTEOARTHRITIS AND CARTILAGE