An international study of surgery for wrist arthritis and its outcomes, initiated by a Studyathon run by the British Society of Surgery of the Hand, 8th Sept 2021
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Updated
Sep 8, 2021 - R
An international study of surgery for wrist arthritis and its outcomes, initiated by a Studyathon run by the British Society of Surgery of the Hand, 8th Sept 2021
A collection of code and resources for creating primary databases, analyzing rheological data for Osteoarthritis research, and generating technical reports for the results.
Methylation and mqtl analysis of the developing knee
This GitHub repository contains all the analysis code used in, "Characterization of single cell transcriptomic responses to osteoarthritis in a naturally occurring equine model."
AI is still seen as a magic black box, it is non-intuitive, and difficult for people to understand and trust. In the medical image analysis field, this problem is amplified and leads to a limited adoption of such AI systems. The proposed projects aim to adapt the exciting explainability tools for the medical domain to demystify and better explai…
Low-cost Fine-tuning of Data-efficient Image Transformers on X-ray Imaging for Osteoarthritis Detection
Cartilage analysis for Toluidine blue slides
End-to-end AI framework for osteoarthritis and osteoporosis diagnosis
R package for visualisation and data mining of skeletal transcriptomics data
🤖 Diagnose osteoarthritis and osteoporosis with an end-to-end AI framework that enhances accuracy and supports early detection through advanced modeling techniques.
Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography
Prediction of total knee replacement using deep learning analysis of knee MRI
Matlab code for calculating and displaying MRI T1rho images
Knee MRI cartilage segmentation model used in 2019 IWOAI segmentation challenge
Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative
Hourglass Networks for Knee Anatomical Landmark Localization: PyTorch Implementation
Image analysis approaches to analyze the OAI magnetic resonance images
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