OpenwaterHealth/OpenLIFU-python
Jan 2025 – Jan 2025
1 Month active
Languages Used
C++Python
Technical Skills
3D ReconstructionAffine TransformationsAlgorithm ImplementationCode RefactoringData ConversionImage Processing
Ebrahim Ebrahim
PROFILE
Ebrahim Ebrahim
Ebrahim contributed to the OpenwaterHealth/OpenLIFU-python repository by developing core 3D imaging features for medical image preprocessing and visualization. He implemented a Python-based 3D foreground masking algorithm using Otsu thresholding, connected component analysis, and morphological operations to accurately isolate primary objects in volumetric data. Ebrahim also built utilities to convert NumPy arrays to VTK images and transform binary labelmaps into surface meshes, supporting decimation and smoothing for downstream analysis. His work included refactoring imports to resolve static analysis issues, improving code maintainability. The project leveraged Python, NumPy, and VTK, demonstrating depth in scientific computing and medical imaging workflows.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
2
Lines of code
303
Activity Months1
Your Network
9 people
Work History
January 2025
4 Commits • 2 Features
Jan 1, 2025January 2025 monthly performance summary for OpenwaterHealth/OpenLIFU-python: Delivered core 3D imaging capabilities and stabilized code quality to accelerate medical imaging workflows. Key outcomes include (1) 3D Foreground Masking for Medical Imaging, enabling isolation of the primary object in 3D arrays with Otsu thresholding, connected component analysis, morphological closing, and hole filling; (2) 3D Visualization and Processing Utilities, adding a NumPy array-to-VTK image converter and a binary labelmap-to-surface mesh tool with optional decimation, smoothing, and normal computation, all with tests; (3) Static analysis cleanup to address pylint E0611 in skinseg by refactoring imports to direct skimage modules. These efforts collectively improve preprocessing accuracy, streamline visualization pipelines, and reduce maintenance overhead. Technologies demonstrated include Python-based image processing, Otsu thresholding, connectivity and morphology operations, NumPy-VTK integration, mesh generation, unit testing, and static code analysis.
4 Commits • 2 Features
Jan 1, 2025January 2025 monthly performance summary for OpenwaterHealth/OpenLIFU-python: Delivered core 3D imaging capabilities and stabilized code quality to accelerate medical imaging workflows. Key outcomes include (1) 3D Foreground Masking for Medical Imaging, enabling isolation of the primary object in 3D arrays with Otsu thresholding, connected component analysis, morphological closing, and hole filling; (2) 3D Visualization and Processing Utilities, adding a NumPy array-to-VTK image converter and a binary labelmap-to-surface mesh tool with optional decimation, smoothing, and normal computation, all with tests; (3) Static analysis cleanup to address pylint E0611 in skinseg by refactoring imports to direct skimage modules. These efforts collectively improve preprocessing accuracy, streamline visualization pipelines, and reduce maintenance overhead. Technologies demonstrated include Python-based image processing, Otsu thresholding, connectivity and morphology operations, NumPy-VTK integration, mesh generation, unit testing, and static code analysis.
January 2025
Activity
Loading activity data...
Quality Metrics
Correctness97.6%
Maintainability95.0%
Architecture95.0%
Performance82.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
3D ReconstructionAffine TransformationsAlgorithm ImplementationCode RefactoringData ConversionImage ProcessingLintingMedical ImagingNumPyScientific ComputingSoftware DevelopmentTestingVTK
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline