Over Stephan
I'm Stephan Hahn, founder of Imagin4Care, a specialized R&D studio for medical imaging AI. You work directly with me; 15+ years of imaging expertise, no account managers, no hand-offs. When a project needs extra hands, I bring in my studio network, but you always have one accountable technical lead: me.
I help medtech companies, healthtech startups, and research teams turn imaging data into reliable, deployable product; from first prototype to clinical-grade pipeline.
What I deliver end-to-end:
Custom ML pipelines (DICOM handling, image segmentation, classification, detection, and 3D reconstruction across radiology, surgery, and pathology workflows.
Medical MLOps) reproducible training, model versioning, monitoring, and deployment infrastructure built for regulated, high-stakes environments.
Outsourced R&D: I act as your embedded imaging-AI lead, de-risking the hard technical bets so you can move faster.
Strategic consulting: technical due diligence, roadmap definition, and architecture for founders and teams scaling medical imaging products.
My background spans academic research (ULB, École Polytechnique) and medtech industry (patient-specific surgical planning), so I bring both scientific depth and a shipping mindset. I also contribute to the open-source community at github.com/imagin4care.
Whether you need a focused proof of concept or a long-term R&D partner, I scope tightly, communicate clearly, and deliver work you can build a product on.
Frans
Tweetalig / moedertaal
Engels
Vloeiend
Uitsluitend remote
Werkt voornamelijk remote
Werkervaring
- Under NDAR&D EngineerMEDICALjanuari 2023 - april 2023 (3 maanden)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 developerMEDICALjanuari 2020 - Vandaag (6 jaren en 6 maanden)Bruxelles, BelgiëAs 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 engineerRESEARCHjanuari 2014 - december 2020 (7 jaren)- 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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Opleidingen
- 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.