Based on kaggle RSNA Pediatric Bone Age Prediction from X-Rays

STIX data analysis in python

Utilizing Deep Learning to detect COVID-19 and Viral Pneumonia from x-ray images

Simulation of X-ray projections on GPU: benchmarking gVirtualXray with clinically realistic phantoms

A Benchmark Dataset for Automatic Cephalometric Landmark Detection and CVM Stage Classification

A Python package for the quantitative analysis of the interaction of x-rays with matter.

XRAYVISION is an open-source Python library for Fourier or synthesis imaging of X-Rays.

X-Ray Fluorescence Imaging Software for Multiple Samples is an open source software to manipulate and study macro-X-Ray Fluorescence (MA-XRF) datasets. XISMuS also works as a sample management tool, where you can easily change between datasets (samples) and compare, cross-interact and normalize them.

Simple isolated pulsar timing tools geared towards high energy astrophysical data

CEPHA29 Automatic Cephalometric Landmark Detection Challenge

Convolutional Neural Network Architecture to classify Bone Fractures from X-Ray Images

Official academic page for the paper: "Self-supervised pre-training with diffusion model for few-shot landmark detection in x-ray images" (WACV 2025)

CNN for identifying COVID-19 from X-Rays scans using Pytorch

BARC library for **S**ynchrotron **R**adiation

Scripts intended to assist in XMM-Newton data reduction and analysis

Successful detection of Covid-19 using Chest X-Rays by building a Convolutional Neural Network (CNN) and visualising the world data using Covid-19 Trends.

x-rays pneumonia image classification

This repository is dedicated to providing a comprehensive set of tools and resources for researchers and students interested in automated cephalometrics using deep learning and computer vision.

Official PyTorch implementation of the paper: "Self-supervised pre-training with diffusion model for few-shot landmark detection in x-ray images" (WACV 2025)