Code for the registration component of the IPCAI 2020 paper: "Automatic Annotation of Hip Anatomy in Fluoroscopy for Robust and Efficient 2D/3D Registration." https://arxiv.org/abs/1911.07042 or https://doi.org/10.1007/s11548-020-02162-7

Resource for getting started with deep learning for MRIs/CTs. This codebase accompanies the release of the SCOPE-MRI dataset and paper (Sethi et al., NPJ AI 2025)

This work explores the use of Augmented Reality as a tool to measure the malalignment of the lower limbs, reducing the dependence on radiographic exams and at the same time increasing the objectivity of the measurement through the automatic identification of the position of the joints in the patient’s body.

Blender add-on for orthopedics

Binary classification of orthopedic anomalies using XGBoost and hyperparameter tuning with Optuna.

Avaliação do diagnóstico por RM comparada à artroscopia em lesões de menisco

Este repositorio contiene el codigo de Clinica Flavio Restrepo