Search

Medical Machine Learning
Medical Machine Learning
  • Home
  • Projects
  • Labs
  • Publications
  • Teaching
  • Events
  • Press
  • Collaborators
  • Job Openings
  • Light Dark Automatic
Lukas Heine

Lukas Heine

Team Lead Ophthalmology

Institute for AI in Medicine, Germany

    Lukas is a medical engineer with a master’s degree in medical image and data processing, which he acquired from the Friedrich-Alexander-University in Erlangen. His research interests include medical image analysis, machine learning, and computer vision. Moreover, he supports the development and operations efforts for deploying applications in practical settings.

    Latest

    • CellViT++: Energy-Efficient and Adaptive Cell Segmentation and Classification Using Foundation Models
    • De-identification of medical imaging data: a comprehensive tool for ensuring patient privacy
    • Foreign object segmentation in chest x-rays through anatomy-guided shape insertion
    • Spacewalker: Traversing Representation Spaces for Fast Interactive Exploration and Annotation of Unstructured Data
    • Three-Dimensional Quantification of Macular OCT Alterations Improves the Diagnostic Performance of Artificial Intelligence Models
    • Anatomy-Guided Pathology Segmentation
    • MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
    • CellViT: Vision Transformers for Precise Cell Segmentation and Classification
    • Lean Study Host: Towards an Automated Pipeline for Multi-Center Study Hosting

    Imprint · Disclaimer

    ©2024 Institute for Artificial Intelligence in Medicine

    Published with Wowchemy — the free, open source website builder that empowers creators.

    Cite
    Copy Download