À propos de Stephan
I’m Stephan Hahn, founder of Imagin4Care, a specialized R&D studio for medical imaging AI, computer vision, and image processing.
I help medtech companies, healthtech startups, research teams, and clinical innovation teams turn complex imaging data into reliable, deployable AI products: from proof of concept to production-ready pipelines.
You work directly with me: 15+ years of imaging expertise, no account managers, no hand-offs. When extra capacity is needed, I bring in my trusted studio network, while remaining your accountable technical lead.
I deliver end-to-end:
• Medical image processing and computer vision pipelines: DICOM handling, preprocessing, registration, segmentation, classification, detection, 3D reconstruction, visualization, and measurement extraction.
• Custom AI for medical imaging: deep learning models for radiology, surgery, pathology, patient-specific planning, anomaly detection, and clinical decision-support prototypes.
• Medical MLOps and deployment: reproducible training, experiment tracking, model versioning, validation workflows, monitoring, and deployment infrastructure.
• Outsourced R&D and technical leadership: I act as your embedded imaging-AI lead to de-risk technical decisions, structure the roadmap, and accelerate product development.
• Strategic consulting: technical due diligence, architecture review, AI roadmap definition, data strategy, feasibility studies, and prototype scoping.
My background combines academic research at ULB and École Polytechnique with medtech industry experience in patient-specific surgical planning. I bring scientific depth, hands-on engineering, and a product-shipping mindset.
I also contribute to open-source imaging and AI projects through Imagin4Care: github.com/imagin4care.
Whether you need a focused proof of concept, a robust image analysis pipeline, or a long-term R&D partner for medical AI, I scope tightly, communicate clearly, and deliver work your team can build on.
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
En télétravail uniquement
Travaille majoritairement à distance
Expériences
- Under NDAR&D EngineerSECTEUR MÉDICALjanvier 2023 - avril 2023 (3 mois)Québec, CanadaFreelancing project: CT scan analysis including classification and object detection (yolo) applied to 3D volumes. I developed a YOLO for 3D volume and train it on CT scan volumes.
- Imagin4CareFull-stack AI developerSECTEUR MÉDICALjanvier 2020 - Aujourd'hui (6 ans et 7 mois)Bruxelles, BelgiqueAs full-stack AI developer, I manage development of applications that integrate machine learning and AI solutions.- Dental industry:1. development of a web application allowing the client (a dentist) to register all his patients + treatment planning, recorder on the patient face. The work involved UI/UX, cloud deployment, and AI training for teeth detection.2. Personal web project involving smile simulation using remote AI system for detection of pathologies and correction.- Aesthetic industry:1. Management and follow-up of aesthetic application (web + mobile) for recording of treatment injection plan for filler and Botox. I was in charge of following developers work (mobile and frontend developers) + development of the computer vision pipelines, AI, and backend stack + deployment.- Medical industry:1. Development of DICOM ingestion pipeline in C++ for quality control and metadata extraction.2. Training of nnUNet and deployment under ONNX runtime for several bone anatomies based on CT scan.3. Report plan and Verification for regulatory submission.4. Automation of PACS + MONAI prediction.
- Université libre de BruxellesR&D engineerCENTRES DE RECHERCHEjanvier 2014 - décembre 2020 (7 ans)- Research on liver dynamics (MRI): design of the protocol, image analysis, video analysis, publications,- Several collaborations with other researchers on computer vision applied to biomedical data- Development of an OCR engine for symbols recognition
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Formations
- Master Civil Engineering, specialization in biomedicalUniversité libre de Bruxelles2013During my studies, I had the opportunity to take courses in both engineering and medical departments, giving me a well-rounded understanding of both fields. What sets me apart even further is my focus on imaging, a cutting-edge sub-specialization that allows me to approach problems from a unique perspective.