TotalSegmentator 2D: A Tool for Rapid Anatomical Structure Analysis

Computes CT contrast phase and GI tract contrast using TotalSegmentator and ML

Swift Horos/OsiriX plugin that exports active CT/MR series, provisions an isolated Python TotalSegmentator environment, runs segmentation, and imports RT-Struct overlays back into the host viewer.

Automated analysis of lumbar discs, integrating TotalSegmentator for anatomical localization, PyRadiomics for quantitative feature extraction, and machine learning models for clinical classification (Pfirrmann grading).

Research tool for continuous NCC-to-LV-myocardium membranous-septum candidate segmentation on cardiac CTA

Independent, contamination-aware, statistically-rigorous leaderboard for medical image segmentation models: every score with a bootstrap confidence interval and a ranking-stability test, sliced by failure mode, reproducible with one command. Powered by segauge.

Automatic identification of CT contrast subphases. The final pipeline was developed during the master thesis project "Two-Stage CT Subphase Classification Using OrganLevel Features" (El-Zein, Nora, 2026)

Automated CT pelvimetry and body composition analysis

Resumable, config-driven DICOM → NIfTI pipeline with body-region and contrast-phase classification (BOA/TotalSegmentator)

Research desktop app for DICOM CT visualization, vertebral segmentation, and interactive pedicle screw planning.

Apple Silicon MacでCTから顎骨・歯の3Dデータを作成する研究・教育用アプリ

Bone Mineral Density estimation from CT scans using PyTorch

Agent-based DICOM-to-FEBio pipeline for medical-image segmentation, mesh generation, finite-element model construction, solver execution, and validation.