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Leonardo Campos

PROFILE

Leonardo Campos

Leonardo Campos developed extensibility and GPU-accelerated image segmentation features for the OHIF/Viewers and cornerstone3D repositories, focusing on robust workflow and imaging capabilities. He introduced onExit hook support and improved extension management, enabling extensions to respond dynamically to mode changes. In cornerstone3D, he implemented GPU-accelerated grow-cut segmentation tools using WebGPU, enhancing performance for large-scale medical imaging. Leonardo also aligned orientation markers across stack and volume viewports in OHIF/Viewers by simplifying orientation logic, improving reliability and maintainability. His work leveraged JavaScript, TypeScript, and GPU computing, demonstrating depth in both backend and front-end development for medical imaging platforms.

Overall Statistics

Feature vs Bugs

75%Features

Repository Contributions

5Total
Bugs
1
Commits
5
Features
3
Lines of code
4,946
Activity Months2

Work History

August 2025

1 Commits • 1 Features

Aug 1, 2025

Monthly summary for 2025-08: Key feature delivered: orientation markers alignment across OHIF/Viewers stack and volume viewports. Removed camera rotation and flip logic; orientation is now calculated directly from viewport canvas coordinates, resulting in consistent orientation labels across both stack and volume viewports. This change reduces edge cases, improves reliability, and enhances user experience when navigating imaging datasets. Commit 266b1f58f01ac6742a9bb40dda28459e7cddc683: feat(orientationMarkers): improved the orientation markers with a simplified version (#5328).

December 2024

4 Commits • 2 Features

Dec 1, 2024

December 2024 monthly recap: Delivered core platform extensibility and GPU-accelerated image segmentation capabilities for OHIF and cornerstone3D. Implemented onExit hook support and extensionManager propagation to enable extensions to react to mode changes, fixed a critical parameter propagation bug in display sets for robust default route initialization, and introduced GPU-accelerated grow-cut segmentation tools via WebGPU with API and utility updates. These changes improve workflow reliability, extension ecosystems, and scalability for large-scale imaging deployments.

Activity

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Quality Metrics

Correctness88.0%
Maintainability90.0%
Architecture86.0%
Performance86.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

JavaScriptTypeScript

Technical Skills

Algorithm DevelopmentBackend DevelopmentExtension ManagementFront-end DevelopmentGPU ComputingImage SegmentationJavaScriptMedical ImagingReactSoftware ArchitectureSoftware DevelopmentTypeScriptTypeScript DevelopmentWebGPU

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

OHIF/Viewers

Dec 2024 Aug 2025
2 Months active

Languages Used

TypeScriptJavaScript

Technical Skills

Backend DevelopmentExtension ManagementFront-end DevelopmentJavaScriptSoftware ArchitectureSoftware Development

cornerstonejs/cornerstone3D

Dec 2024 Dec 2024
1 Month active

Languages Used

JavaScriptTypeScript

Technical Skills

Algorithm DevelopmentGPU ComputingImage SegmentationJavaScriptMedical ImagingTypeScript

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