"Structure-Aware Sparse-View X-ray 3D Reconstruction" (CVPR 2024) - A Toolbox for CT reconstruction and X-ray Novel View Synthesis

"Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis" (ECCV 2024)

"Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction" (NeurIPS 2024)

X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2

Knee Osteoarthritis Analysis with X-ray Images using CNN

A Flask Pneumonia Detection web app from chest X-Ray Images using CNN

This is our working repository for the project - spine curvature estimation. It contains all the implementation codes and results of our approach.

Python implementation for Balu, a computer vision, pattern recognition and image processing library. Originally implemented in matlab by Domingo Mery.

Complete U-net Implementation with keras

本项目实现了一个基于深度学习的胸部X线图像肺炎分类系统，用于自动识别儿科患者的胸部X线图像中是否存在肺炎（正常/肺炎）。系统采用了多种先进的深度学习模型，包括ResNet50、EfficientNet、Vision Transformer (ViT)和Swin Transformer，并支持模型集成。

Bruker's TOPAS X-ray diffraction calculations parser

Code for StyleGAN-based simulation of X-ray baggage images for security screening

Use EuXFEL detector geometry to assemble images

ISPACS 2024

A FastAPI-based service for X-ray image enhancement using RealESRGAN. Supports DICOM and standard images with preprocessing, super-resolution inference, and optional CLAHE postprocessing.

This project in a X-ray bone fracture detection App protoype to assist medical professionals to fast-forward the diagnosis process, it runs on the user's device.

Preprocessing scripts for the PadChest datset

This repository serves as a hub for resources, code, and explanations related to COVID-19 detection leveraging active learning. Active learning, a powerful machine learning paradigm, plays a pivotal role in optimizing the labeling process, enhancing model performance, and making the most of limited labeled data.

Deep Learning and AI Enthusiasts to contribute to improving COVID-19 detection using just Chest X-rays.