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youssefassis/README.md

Youssef Assis

Machine learning engineer, PhD. Computer vision for healthcare.

R&D engineer at DentalMonitoring, Paris — predictive models for dental care. Before that, a PhD at Inria Nancy and CHRU Nancy on detecting intracranial aneurysms in MR angiography.

I work on 3D detection and segmentation in medical images, on how clinicians review and override model output, and on what it takes to move a model from training to regulatory clearance and production monitoring: V&V, non-inferiority study design, PCCP, QMS, drift.

Work

Research

  • AI–radiologist collaboration — Journal of Neuroradiology, 2025 · paper
  • Automated aneurysm detection — IJCARS, 2024 · paper
  • Anchor-free 3D pose estimation — MICCAI, 2023 (STAR award) · paper
  • 3D segmentation under class imbalance — MICCAI DALI workshop, 2021 · paper
  • PhD thesis, Université de Lorraine, 2024 · manuscript

Website · Google Scholar · LinkedIn

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  1. classify-justify classify-justify Public

    Train a surface-defect classifier, explain it with 17 attribution methods, and measure whether the explanations can be trusted.

    Python

  2. slicer-aneurysm-review slicer-aneurysm-review Public

    Review AI-detected aneurysm candidates in 3D Slicer — verdicts, rejection reasons, sign-off and provenance for clinical validation studies.

    Python

  3. slicer-weak-annotation slicer-weak-annotation Public

    Weakly annotate aneurysms in 3D Slicer with two clicks — a sphere from a pair of points, for building detection datasets without segmentation.

    Python

  4. travel-planner travel-planner Public

    A travel planner that returns the whole trip — route, day-by-day itinerary, transport, budget and carbon — generated in the browser, with no backend and no API keys.

    TypeScript