Annotation Lab Essen

Creating a high-quality dataset is a crucial part of any machine learning project. This is even more the case for highly specialized domains such as medicine. In practice, data annotation often takes longer than the actual training and optimization of the models. Medical data annotation includes several process steps: planning, anonymization, provision of the data, annotation/segmentation, and quality assurance. Annotation Lab Essen, an organizational unit of the Institute for AI in Medicine and part of Essen University Hospital, benefits from the highest medical expertise and specializes in the annotation of medical data (images, text and beyond).

*
Evaluation

Evaluation

Evaluation and Reader Studies of AI algorithms (e.g. on bone age estimation)

FHIR Query & Anonymization

FHIR Query & Anonymization

Semi-automated pipeline for medical text anonymization for consecutive text annotation

Histopathology

Histopathology

Semi-automatic annotation of histopathological images

Image Segmentation

Image Segmentation

Segmentation of pulmonary pathologies of COVID-19 patients' image

Structured Report

Structured Report

Pipeline for generation of structured reports from unstructured radiological data

Teaching-learning material

Teaching-learning material

SOP of Body-Composition Analysis and integration of ontology definitions

Chair

Avatar

Felix Nensa

Professor of Data Integration and AI in Radiology

Avatar

Jens Kleesiek

Professor of Translational Image-guided Oncology

Team

Avatar

Anisa Kureishi

Human Ressource Management

Avatar

Gordon Meyer

Project Management

Avatar

Kelsey Herrmann

Radiologist

Avatar

Moon Kim

Team Lead

Avatar

Alina Krenzin

Avatar

Anton Konrad Schily

Avatar

Aycan Bogazliyan

Avatar

Christian Marc Kramer

Avatar

Daniel van Landeghem

Avatar

Enver Deniz

Avatar

Hajra Batool

Avatar

Hanna Sentek

Avatar

Hannah Sievert

Avatar

Irina Kallmeyer

Avatar

Johannes Vogelsang

Avatar

Katharina Barbara Abel

Avatar

Lennard Kroll

Avatar

Natalie van Landeghem

Avatar

Pia Nath

Avatar

Sara Erma Kaya

Partners

Contact