IEEE

Markerless Registration and Visualization of Volumetric Medical Data for Enhanced Surgical Precision Using Head-Mounted Displays

Abstract: In surgery, accurate localization of critical structures like blood vessels is crucial, yet current 2D visualization methods limit precision and increase cognitive load for surgeons. This ...
Business Matters

Building AI-powered visual solutions: How Python forms the foundation for advanced Computer Vision use cases

Artificial Intelligence (AI) has significantly transformed the way machines interpret and interact with the visual world. From autonomous vehicles and facial recognition to medical imaging and retail ...
Federal Register

Ordering Schedule I and II Controlled Substances Using DEA Form 222; Technical Amendments

This document has been published in the Federal Register. Use the PDF linked in the document sidebar for the official electronic format.
GitHub

Multi-platform point cloud analysis — registration, segmentation, surface reconstruction, and feature extraction for aerial, terrestrial, and UAV LiDAR.

Point cloud tooling in Python is fragmented. laspy reads files. Open3D visualizes them. PDAL pipelines transform them. But nothing treats acquisition platform as a first-class concept — and platform ...
IEEE

Using a Point Cloud Registration Network That Integrates Local Sparsity and Global Attention for Intraoperative Navigation in Liver Surger

Abstract: Intraoperative liver surface point clouds present significant challenges for registration tasks due to their partial visibility and non-rigid deformation. To achieve accurate alignment ...