radiography

Zero-config runtime diagnostics overlay for Android—CPU, memory, FPS, logs, network, crash logs, and one-tap bug reports

COVID deterioration prediction based on chest X-ray radiographs via MoCo-trained image representations

Logiciel de détection, localisation & segmentation de carries sur des radiographies dentaires.

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

[IEEE TPAMI 2024] SimSID: unsupervised anomaly detection in chest radiography. SimSID learns the recurrent anatomical patterns of normal chest X-rays and flags deviations, using no anomaly labels in training. +8.0% / +5.0% / +9.9% AUC over prior state of the art on ZhangLab, COVIDx and CheXpert. TPAMI extension of SQUID (CVPR 2023).

Industrial radiographic image annotation and enhancement for NDT, with the companion SWRD weld-defect dataset.

A contrast enhancement approach involving non linear mapping of Laplacian pyramid.

Autoscoper is a 2D-3D image registration software package.

ROVER: an open source hybrid-parallel library for volume rendering and simulated radiography

Python package for a systems approach to blur estimation and reduction

OpenSource project collaborating with a healthcare mutual insurance company (data provider) focusing on classifying knee frontal radiographies (DICOM) according to Schatzker classification (0 to 6).

This is a set of functions for generating digitally reconstructed radiographs from CT data

An advanced AI-powered web application for analyzing chest X-ray images to detect COVID-19, Normal, Lung Opacity, and Viral Pneumonia conditions using deep learning and Grad-CAM visualization.

Scan With Me (SWiM)

A Framework which could create proxy for ORTHANC (Legacy PACS DICOM) in local networks with self signed SSL Which would work flawless with multiple security features.

Detecting fracture in bone using SAM ViT-b

Building an AI model for chest X-ray under patient privacy guarantees

ALARP: A Learning Aid In Radiographic Positioning. Flutter app for Radiologic Tech students. Learn positioning with 3D models, practice 2D collimation with real-time feedback, and test skills in timed challenges.

Automatic Weld Seam ROI Extraction for Radiographic Images