ibs-lab/cedalion
Dec 2024 – May 2026
7 Months active
Languages Used
BibTeXPythonTSVMarkdownYAML
Technical Skills
Data AnalysisImage SegmentationMedical Image ProcessingNiBabelNumPyPython
nils
PROFILE
Nils
Over seven months, contributed to the ibs-lab/cedalion repository by building and refining robust data processing pipelines for neuroimaging and morphometry workflows. Developed features such as MRI segmentation post-processing, UHD probe support, and enhanced landmark handling, focusing on data integrity and reproducibility. Addressed critical bugs in geometry processing, data ingestion, and photogrammetry filtering, improving stability and downstream analysis reliability. Leveraged Python, NumPy, and SciPy to implement efficient 3D modeling, image segmentation, and file I/O solutions. Emphasized maintainable code through modular design, comprehensive testing, and clear documentation, supporting both clinical and research pipelines with improved data quality and workflow efficiency.
Overall Statistics
Feature vs Bugs
59%Features
Repository Contributions
24Total
Bugs
7
Commits
24
Features
10
Lines of code
88,350
Activity Months7
Your Network
32 peopleSame Organization
@mail.de21
Work History
May 2026
7 Commits • 2 Features
May 1, 2026May 2026 performance summary for ibs-lab/cedalion: delivered robust data processing improvements and stability enhancements that strengthen morphometry workflows, enable GLM-ready pipelines, and reduce data integrity risks. Business value includes fewer runtime errors, safer data handling, and clearer metadata management, leading to faster feature delivery and more reliable analyses.
7 Commits • 2 Features
May 1, 2026May 2026 performance summary for ibs-lab/cedalion: delivered robust data processing improvements and stability enhancements that strengthen morphometry workflows, enable GLM-ready pipelines, and reduce data integrity risks. Business value includes fewer runtime errors, safer data handling, and clearer metadata management, leading to faster feature delivery and more reliable analyses.
May 2026
April 2026
8 Commits • 2 Features
Apr 1, 2026Concise monthly summary for ibs-lab/cedalion (April 2026): focus on robust landmark processing, data filtering improvements, and efficiency gains, with updated changelog reflecting hackathon work. Delivered features, fixed critical data handling bugs, and demonstrated cross-disciplinary proficiency.
April 2026
8 Commits • 2 Features
Apr 1, 2026Concise monthly summary for ibs-lab/cedalion (April 2026): focus on robust landmark processing, data filtering improvements, and efficiency gains, with updated changelog reflecting hackathon work. Delivered features, fixed critical data handling bugs, and demonstrated cross-disciplinary proficiency.
May 2025
1 Commits
May 1, 2025In May 2025, delivered a targeted data integrity fix in ibs-lab/cedalion to correct swapped fiducial landmarks for atlasviewer (RPA/LPA). The fix ensures accurate landmark identification by aligning labels and coordinates in two TSV files, preventing misinterpretation in landmark-based analyses and improving downstream reliability of atlasviewer workflows. This work enhances data quality for clinical and research pipelines relying on fiducial references and supports reproducible results across runs.
1 Commits
May 1, 2025In May 2025, delivered a targeted data integrity fix in ibs-lab/cedalion to correct swapped fiducial landmarks for atlasviewer (RPA/LPA). The fix ensures accurate landmark identification by aligning labels and coordinates in two TSV files, preventing misinterpretation in landmark-based analyses and improving downstream reliability of atlasviewer workflows. This work enhances data quality for clinical and research pipelines relying on fiducial references and supports reproducible results across runs.
May 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025Month: 2025-04 — Focused feature delivery for ibs-lab/cedalion with robust TSV I/O enhancements and enhanced probe geometry support. No major bugs fixed this month.
April 2025
1 Commits • 1 Features
Apr 1, 2025Month: 2025-04 — Focused feature delivery for ibs-lab/cedalion with robust TSV I/O enhancements and enhanced probe geometry support. No major bugs fixed this month.
March 2025
5 Commits • 4 Features
Mar 1, 2025March 2025: Focused on robustness, data infrastructure, and head-model quality for cedalion. Delivered features enhanced data fidelity and usability, fixed critical crash scenarios, and aligned anatomical landmark placement with standardized systems to improve downstream analyses and decision-making. This work underpins reliable processing of UHD data, streamlined data pipelines, and more accurate tissue-property calculations, driving business value through better data-driven insights and reduced pipeline fragility.
5 Commits • 4 Features
Mar 1, 2025March 2025: Focused on robustness, data infrastructure, and head-model quality for cedalion. Delivered features enhanced data fidelity and usability, fixed critical crash scenarios, and aligned anatomical landmark placement with standardized systems to improve downstream analyses and decision-making. This work underpins reliable processing of UHD data, streamlined data pipelines, and more accurate tissue-property calculations, driving business value through better data-driven insights and reduced pipeline fragility.
March 2025
January 2025
1 Commits
Jan 1, 2025January 2025 monthly summary for ibs-lab/cedalion: Focused on improving robustness of 3D geometry processing by implementing robust vertex normal normalization in TrimeshSurface. Normals are now normalized before use and normalization logic is centralized in a dedicated method to improve stability when input vectors are not unit length. This reduces downstream errors in rendering and analysis and improves maintainability. The work is traceable to commit 023b09a2f09a1d8b72ea28f80d8baac30fe94f80 (fix optode_dirs if not perfectly unitary, #71).
January 2025
1 Commits
Jan 1, 2025January 2025 monthly summary for ibs-lab/cedalion: Focused on improving robustness of 3D geometry processing by implementing robust vertex normal normalization in TrimeshSurface. Normals are now normalized before use and normalization logic is centralized in a dedicated method to improve stability when input vectors are not unit length. This reduces downstream errors in rendering and analysis and improves maintainability. The work is traceable to commit 023b09a2f09a1d8b72ea28f80d8baac30fe94f80 (fix optode_dirs if not perfectly unitary, #71).
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for ibs-lab/cedalion: Implemented MRI Segmentation Post-Processing Enhancement (SPM12) to refine segmentation outputs following Huang2013. Introduced a new post-processing function and removed an unused function to simplify the pipeline and improve data quality. The change enhances downstream neuroimaging analysis readiness and reduces manual cleanup.
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for ibs-lab/cedalion: Implemented MRI Segmentation Post-Processing Enhancement (SPM12) to refine segmentation outputs following Huang2013. Introduced a new post-processing function and removed an unused function to simplify the pipeline and improve data quality. The change enhances downstream neuroimaging analysis readiness and reduces manual cleanup.
December 2024
Activity
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Quality Metrics
Correctness91.6%
Maintainability87.6%
Architecture86.2%
Performance83.0%
AI Usage21.6%
Skills & Technologies
Programming Languages
BibTeXMarkdownPythonTSVYAML
Technical Skills
3D Modeling3D modelingContinuous IntegrationData AnalysisData CorrectionData EngineeringData HandlingData LoadingData OrganizationData ScienceData StructuresDocumentationEnumFile Format ConversionFile I/O
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