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Efficient Data Processing: TeShu Unleashes Speed, Adaptability, And Simplified Optimization

A versatile system that optimizes and adapts data shuffling in distributed systems, simplifying complex operations and enhancing overall performance.

Published: 2/1/2024

Human-AI Hybrid Intelligence Model to Accurately Recognize and Segment Organs on Medical Scans 70% Faster Than Physicians

AAR-DL (Automatic Anatomy Recognition – Deep Learning) is a hybrid intelligence recognition and delineation segmentation model that outputs automatically delineated organs in medical images by combining natural intelligence’s (i.e., human knowledge’s) and artificial intelligence's strengths to map organs and their boundaries in the given images.

Published: 2/2/2024

PennSorter: A software platform for rapid neural signal analysis.

PennSorter is a specialized "spike-sorting" software designed to facilitate the precise assignment of electrical signals to cells with enhanced accuracy and efficiency.

Published: 1/5/2024

Spine TK: Deep Learning AI Toolkit for Spine Health Assessment

Fast quantification of spine fractures, curvature, vertebral deformities, vertebral texture, vertebral strength, bone density, and intervertebral disk measurements using CT, MR, DXA, PET, or X-ray images for evaluation of spine health and surgery planning.

Published: 1/10/2024

Method for Creating Super Resolution Medical Images

The deep learning algorithm retrospectively improves the resolution of routine medical images (e.g., CT, MRI, etc.) without the need for increased radiation or scan time. 

Published: 1/10/2024

A Method to Design 2D Composite Sheets That Transform to 3D Curved Surfaces Having Optimal Mechanical Properties

A method for fabricating stronger 3D curved surfaces by stacking multiple layers of 2D sheets, each having a specified cutting pattern, into one composite material

Published: 10/16/2023

Method for rapid 3D printing from medical images

Method and software product allowing for direct conversion of any three dimensional image (e.g., CT, MRI, ultrasound, PET, etc.) into 3D printable instructions (i.e., G-Code).

Published: 1/23/2024
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