David RutkevichML · medical imaging

Machine learning · medical imaging Essen

David Rutkevich

I build machine learning for medical images: models you can talk to in plain language, and segmentation that still works when scans are missing.

Now
Visiting researcher, IKIM Essen · MML group
Before
B.Sc. Computer Science, TU Berlin · AI & Automation, Hygh
Prize
National winner, Jugend forscht 2025
Fig. 1 · autoPET · PET MIP · 7 lesions
Prompt

    Background: an incompressible fluid on the dot grid (Navier–Stokes, solved live). Move the pointer through it to stir in ink.

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    About

    Portrait of David Rutkevich

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    Research

    1. Text-prompted lesion segmentation in PET/CT

      Write-up Fig. 1

      Abstract

      • PRISM & PRISMS

        Write-up

        Abstract

        • SeesDisease

          Write-up

          Abstract

          Earlier CellAlyse (2022–2023)

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          Talks

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            Experience

              Education

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                Awards