You will get 3D Vascular Deep Learning R&D
Project details
AI-Powered 3D Mesh Generation & Reconstruction for Cardiovascular Anatomy
I build end-to-end deep learning pipelines that compress, generate, and reconstruct patient-specific 3D meshes of cardiovascular structures — aorta, iliac arteries, branches — directly from CT/NIfTI scans or learned latent spaces.
What I deliver
A trained AI model that does four things:
Compresses 3D meshes into compact latent representations — enabling fast retrieval, interpolation, and population-level analysis
Reconstructs meshes from latent space with minimal geometric loss — retaining clinically relevant surface detail
Generates new anatomically consistent meshes, conditionally (patient parameters, pathology class) or unconditionally — for data augmentation, statistical shape modeling, or synthetic cohort generation
Reconstructs directly from CT/NIfTI — full segmentation-to-mesh pipeline producing clean, simulation-ready output in STL, PLY, or VTK
Everything ships with a reproducible Python training and inference pipeline, optimized output meshes suitable for CFD and FEA simulation, and clear documentation with usage examples.
I build end-to-end deep learning pipelines that compress, generate, and reconstruct patient-specific 3D meshes of cardiovascular structures — aorta, iliac arteries, branches — directly from CT/NIfTI scans or learned latent spaces.
What I deliver
A trained AI model that does four things:
Compresses 3D meshes into compact latent representations — enabling fast retrieval, interpolation, and population-level analysis
Reconstructs meshes from latent space with minimal geometric loss — retaining clinically relevant surface detail
Generates new anatomically consistent meshes, conditionally (patient parameters, pathology class) or unconditionally — for data augmentation, statistical shape modeling, or synthetic cohort generation
Reconstructs directly from CT/NIfTI — full segmentation-to-mesh pipeline producing clean, simulation-ready output in STL, PLY, or VTK
Everything ships with a reproducible Python training and inference pipeline, optimized output meshes suitable for CFD and FEA simulation, and clear documentation with usage examples.
Machine Learning Tools
PythonWhat's included $276
These options are included with the project scope.
$276
- Delivery Time 1 day
- Number of Revisions 0
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ER
Elise R.
Jul 16, 2026
AI Development for 3D Cardiovascular Mesh Generation and Compression
About Adnen
Data Science AI & Software Developer
Manouba, Tunisia - 2:21 pm local time
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