Juan Carlos Prieto
Chapel Hill, North Carolina, United States
Summary
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SeniorJuan Prieto is a Research Assistant Professor and computer vision expert with 12 years building AI-driven medical imaging tools that bridge research and clinical impact. He has led development of patented deep learning models for gestational age estimation integrated into low-cost, battery-powered ultrasound devices to enable novice users to achieve expert-level accuracy in underserved regions. At UNC Chapel Hill he supervises and ships open-source 3D Slicer extensions and end-to-end platforms for neuroimage analysis, tractography classification, and multimodal dental imaging, combining 3D modeling, simulation, and digital-twin approaches. His work emphasizes explainability and practical deployment, including a mobile AI classifier for trachomatous trichiasis now field-tested in Senegal and Ethiopia. Trained with a PhD from INSA Lyon, he pairs advanced shape-analysis and volumetric modeling research with production-grade software engineering and community-focused tooling.
12 years of coding experience
Stackoverflow
816reputation
93kreached
13answers
5questions
xml
top-5%
excel
top-5%
Github Skills (200)
web-application10
python10
image-processing10
distributed-computing10
unc10
deep-learning10
medical-imaging10
remote-execution10
qt10
computed-tomography10
water10
3d-models10
diffusion-mri10
3d-images10
emscripten10
Programming languages (11)
Github contributions (5)
juanprietob/trachoma
Jan 2021 - Apr 2024
Trachoma prediction from natural images
Contributions:5 releases, 1 PR, 19 pushes in 3 years 3 months
predictiondeep-learningcomputer-visionmachine-learningnatural
NIRALUser/Trafic
Jul 2017 - Mar 2019
Diffusion fiber tract classification using deep learning
Contributions:1 release, 34 commits, 9 PRs in 1 year 9 months
classificationdeep-learning
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