TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox

A pytorch reimplementation of CheXNet

🦷 Detection of restorations and treatments on dental x-rays in Tensorflow, using Faster-RCNN

Code for "DeepDRR: A Catalyst for Machine Learning in Fluoroscopy-guided Procedures". https://arxiv.org/abs/1803.08606

STALKER (aka xray-engine) import/export plugin for Blender 3D

Anything can happen in the next half hour (including spectral timing made easy)!

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

CLOUDFLARE IP SCANNER

React layout debugger.

An official implementation of PCRLv2 (pre-training and fine-tuning code are included).

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

AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved, open-source screening tool for Tuberculosis and Lung Cancer. After an MRMC clinical trial, AiAi CAD will be distributed for free to emerging nations, charita…

Library and executables for modeling and registration applications in medical image analysis. Particular emphasis on intraoperative fluoroscopic (X-ray) navigation via 2D/3D registration.

List of datasets and papers in X-ray security images (Computer vision/Machine Learning)

V2RAY CONFIG TESTER

Package xrt (XRayTracer) is a python software library for ray tracing and wave propagation in x-ray regime. It is primarily meant for modeling synchrotron sources, beamlines and beamline elements.

Code and data for the "annotation" 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

The home of the McStas (neutrons) and McXtrace (x-rays) Monte-Carlo ray-tracing instrument simulation codes.

12000+ manually drawn pixel-level lung segmentations, with and without covid

ICONIP 2024