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Found 6 papers, 2 papers with code
HIST-AID: Leveraging Historical Patient Reports for Enhanced Multi-Modal Automatic Diagnosis
Chest X-ray imaging is a widely accessible and non-invasive diagnostic tool for detecting thoracic abnormalities.
Modified Risk Formulation for Improving the Prediction of Knee Osteoarthritis Progression
The novel RiskFORM2 method, leveraging a dual model risk constraint architecture, demonstrated superior performance, yielding an AUROC of 0. 87 and AUPRC of 0. 47 for 1 year TKR prediction on the OAI radiograph test set, a marked improvement over the 0. 79 AUROC and 0. 34 AUPRC of the baseline approach.
MR-Transformer: Vision Transformer for Total Knee Replacement Prediction Using Magnetic Resonance Imaging
A transformer-based deep learning model, MR-Transformer, was developed for total knee replacement (TKR) prediction using magnetic resonance imaging (MRI).
Estimation of Time-to-Total Knee Replacement Surgery
A survival analysis model for predicting time-to-total knee replacement (TKR) was developed using features from medical images and clinical measurements.
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset
Purpose: To organize a knee MRI segmentation challenge for characterizing the semantic and clinical efficacy of automatic segmentation methods relevant for monitoring osteoarthritis progression.
Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks
However, manual segmentation of MR images of bone is time-consuming, limiting the use of MRI measurements in the clinical practice.
