Studying osteoarthritis with artificial intelligence applied to magnetic resonance imaging

Deep learning for large scale MRI-based morphological phenotyping of osteoarthritis

(2021) Nikan K. Namiri et al.   Scientific Reports

Development and Validation of a Multitask Deep Learning Model for Severity Grading of Hip Osteoarthritis Features on Radiographs

(2020) Claudio E. von Schacky et al.   RADIOLOGY

Toward automatic quantification of knee osteoarthritis severity using improved Faster R-CNN

(2020) Bin Liu et al.   International Journal of Computer Assisted Radiology and Surgery

Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders

(2020) Pierre-Henri Conze et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Computer-Aided Detection AI Reduces Interreader Variability in Grading Hip Abnormalities With MRI

(2020) Radhika Tibrewala et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Learning osteoarthritis imaging biomarkers from bone surface spherical encoding

(2020) Alejandro Morales Martinez et al.   MAGNETIC RESONANCE IN MEDICINE

On instabilities of deep learning in image reconstruction and the potential costs of AI

(2020) Vegard Antun et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Deep convolutional neural network-based detection of meniscus tears: comparison with radiologists and surgery as standard of reference

(2020) Benjamin Fritz et al.   SKELETAL RADIOLOGY

Deep Learning Predicts Total Knee Replacement from Magnetic Resonance Images

(2020) Aniket A. Tolpadi et al.   Scientific Reports

Using Deep Learning to Accelerate Knee MRI at 3T: Results of an Interchangeability Study

(2020) Michael P. Recht et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

T 2 analysis of the entire osteoarthritis initiative dataset

(2020) Alaleh Razmjoo et al.   JOURNAL OF ORTHOPAEDIC RESEARCH

Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis by Using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative

(2020) Kevin Leung et al.   RADIOLOGY

Incremental inputs improve the automated detection of implant loosening using machine-learning algorithms

(2020) Romil F. Shah et al.   Bone & Joint Journal

Accuracy and longitudinal reproducibility of quantitative femorotibial cartilage measures derived from automated U-Net-based segmentation of two different MRI contrasts: data from the osteoarthritis initiative healthy reference cohort

(2020) Wolfgang Wirth et al.   MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE

Deep learning method for segmentation of rotator cuff muscles on MR images

(2020) Giovanna Medina et al.   SKELETAL RADIOLOGY

Diagnostic interchangeability of deep convolutional neural networks reconstructed knee MR images: preliminary experience

(2020) Naveen Subhas et al.   Quantitative Imaging in Medicine and Surgery

Deep Learning for Image Super-Resolution: A Survey

(2020) Zhihao Wang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Artificial intelligence to diagnose meniscus tears on MRI

(2019) V. Roblot et al.   Diagnostic and Interventional Imaging

Diagnosing Osteoarthritis from T2 Maps using Deep Learning: An Analysis of the Entire Osteoarthritis Initiative Baseline Cohort

(2019) Valentina Pedoia et al.   OSTEOARTHRITIS AND CARTILAGE

MANTIS: Model-Augmented Neural neTwork with Incoherent k -space Sampling for efficient MR parameter mapping

(2019) Fang Liu et al.   MAGNETIC RESONANCE IN MEDICINE

SANTIS: Sampling‐Augmented Neural neTwork with Incoherent Structure for MR image reconstruction

(2019) Fang Liu et al.   MAGNETIC RESONANCE IN MEDICINE

Fully automated patellofemoral MRI segmentation using holistically nested networks: Implications for evaluating patellofemoral osteoarthritis, pain, injury, pathology, and adolescent development

(2019) Ruida Cheng et al.   MAGNETIC RESONANCE IN MEDICINE

MRI-based screening for structural definition of eligibility in clinical DMOAD trials: Rapid OsteoArthritis MRI Eligibility Score (ROAMES)

(2019) F.W. Roemer et al.   OSTEOARTHRITIS AND CARTILAGE

Rapid Knee MRI Acquisition and Analysis Techniques for Imaging Osteoarthritis

(2019) Akshay S. Chaudhari et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

${k}$ -Space Deep Learning for Accelerated MRI

(2019) Yoseo Han et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automated cartilage and meniscus segmentation of knee MRI with conditional generative adversarial networks

(2019) Sibaji Gaj et al.   MAGNETIC RESONANCE IN MEDICINE

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

(2019) Aleksei Tiulpin et al.   Scientific Reports

DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction

(2018) Guang Yang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss

(2018) Tran Minh Quan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction

(2018) Jo Schlemper et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep learning with domain adaptation for accelerated projection-reconstruction MR

(2018) Yoseob Han et al.   MAGNETIC RESONANCE IN MEDICINE

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

(2018) Aleksei Tiulpin et al.   Scientific Reports

Scan-specific robust artificial-neural-networks for k-space interpolation (RAKI) reconstruction: Database-free deep learning for fast imaging

(2018) Mehmet Akçakaya et al.   MAGNETIC RESONANCE IN MEDICINE

Image reconstruction by domain-transform manifold learning

(2018) Bo Zhu et al.   NATURE

Deep Learning Approach for Evaluating Knee MR Images: Achieving High Diagnostic Performance for Cartilage Lesion Detection

(2018) Fang Liu et al.   RADIOLOGY

Deep-learning-based detection and segmentation of organs at risk in nasopharyngeal carcinoma computed tomographic images for radiotherapy planning

(2018) Shujun Liang et al.   EUROPEAN RADIOLOGY

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

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

3D convolutional neural networks for detection and severity staging of meniscus and PFJ cartilage morphological degenerative changes in osteoarthritis and anterior cruciate ligament subjects

(2018) Valentina Pedoia et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Intra- and interreader reproducibility of PI-RADSv2: A multireader study

(2018) Clayton P. Smith et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks

(2018) Cem M. Deniz et al.   Scientific Reports

Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet

(2018) Nicholas Bien et al.   PLOS MEDICINE

Automated segmentation of knee bone and cartilage combining statistical shape knowledge and convolutional neural networks: Data from the Osteoarthritis Initiative

(2018) Felix Ambellan et al.   MEDICAL IMAGE ANALYSIS

Deep Convolutional Neural Network for Inverse Problems in Imaging

(2017) Kyong Hwan Jin et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

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

Learning a variational network for reconstruction of accelerated MRI data

(2017) Kerstin Hammernik et al.   MAGNETIC RESONANCE IN MEDICINE

Machine Learning for Medical Imaging

(2017) Bradley J. Erickson et al.   RADIOGRAPHICS

Current status and future prospects for disease modification in osteoarthritis

(2017) Zhengping Huang et al.   RHEUMATOLOGY

Classifications in Brief: Kellgren-Lawrence Classification of Osteoarthritis

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

Prestructural cartilage assessment using MRI

(2016) Thomas M. Link et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Burnout of Radiologists: Frequency, Risk Factors, and Remedies: A Report of the ACR Commission on Human Resources

(2016) Jay A. Harolds et al.   Journal of the American College of Radiology

Bipolar bone defect in the shoulder anterior dislocation

(2015) Giovanni Di Giacomo et al.   KNEE SURGERY SPORTS TRAUMATOLOGY ARTHROSCOPY

Deep learning

(2015) Yann LeCun et al.   NATURE

Brief Report: Cartilage Thickness Change as an Imaging Biomarker of Knee Osteoarthritis Progression: Data From the Foundation for the National Institutes of Health Osteoarthritis Biomarkers Consortium

(2015) F. Eckstein et al.   Arthritis & Rheumatology

Image reconstruction: An overview for clinicians

(2014) Michael S. Hansen et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Scoring hip osteoarthritis with MRI (SHOMRI): A whole joint osteoarthritis evaluation system

(2014) Sonia Lee et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Low-rank plus sparse matrix decomposition for accelerated dynamic MRI with separation of background and dynamic components

(2014) Ricardo Otazo et al.   MAGNETIC RESONANCE IN MEDICINE

OARSI guidelines for the non-surgical management of knee osteoarthritis

(2014) T.E. McAlindon et al.   OSTEOARTHRITIS AND CARTILAGE

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

ESPIRiT-an eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA

(2013) Martin Uecker et al.   MAGNETIC RESONANCE IN MEDICINE

On Subregional Analysis of Cartilage Loss from Knee MRI

(2013) Dan R. Jørgensen et al.   Cartilage

Quantitative MRI measures of cartilage predict knee replacement: a case–control study from the Osteoarthritis Initiative

(2012) Felix Eckstein et al.   ANNALS OF THE RHEUMATIC DISEASES

Osteoarthritis: A disease of the joint as an organ

(2012) Richard F. Loeser et al.   ARTHRITIS AND RHEUMATISM

Odds and Ends on Finite Group Actions and Traces

(2012) Luc Illusie et al.   INTERNATIONAL MATHEMATICS RESEARCH NOTICES

Parallel MR imaging

(2012) Anagha Deshmane et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Evolution of semi-quantitative whole joint assessment of knee OA: MOAKS (MRI Osteoarthritis Knee Score)

(2011) D.J. Hunter et al.   OSTEOARTHRITIS AND CARTILAGE

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

Longitudinal analysis of MRI T2 knee cartilage laminar organization in a subset of patients from the osteoarthritis initiative: A texture approach

(2010) Julio Carballido-Gamio et al.   MAGNETIC RESONANCE IN MEDICINE

Robust texture features for response monitoring of glioblastoma multiforme on T1-weighted and T2-FLAIR MR images: A preliminary investigation in terms of identification and segmentation

(2010) Dawit Assefa et al.   MEDICAL PHYSICS

Mean squared error: Love it or leave it? A new look at Signal Fidelity Measures

(2009) Zhou Wang et al.   IEEE SIGNAL PROCESSING MAGAZINE

Prevalence of Hip Symptoms and Radiographic and Symptomatic Hip Osteoarthritis in African Americans and Caucasians: The Johnston County Osteoarthritis Project

(2009) J. M. JORDAN et al.   JOURNAL OF RHEUMATOLOGY

Spatial analysis of magnetic resonance T1ρ and T2 relaxation times improves classification between subjects with and without osteoarthritis

(2009) Julio Carballido-Gamio et al.   MEDICAL PHYSICS

Compressed Sensing MRI

(2008) M. Lustig et al.   IEEE SIGNAL PROCESSING MAGAZINE