Working Group

Data Annotation

The Data Annotation working group in AI4HI focuses on establishing strategic positions and guidelines for data annotation in medical imaging. The group emphasizes the importance of proper data curation alongside annotation, ensuring that all annotated data contributes effectively to the development of AI tools for medical imaging applications.

Scope of work

Strategic Development

Medical image annotation process

Defines strategic positions on annotation methodologies and structured reporting, specializing in 2D/3D bounding boxes and smart draw capabilities

Standardization

Medical data curation process

Implements annotation procedures ensuring proper metadata accompanies all data curation efforts

AI Integration

AI-driven medical annotation

Oversees AI-driven annotation processes and container event management, focusing on data quality and non-ambiguous representation

Team Members (A-Z)

NameAffiliation
Ana JiménezQuibim, Spain
Andrea LaghiUniversity of Rome, Italy
Angel AlberichQuibim, Spain
Diana VeigaGeneralitat Valenciana, Spain
Francesco SardanelliGruppo Sandonato, Italy
Kai VilanovaCOMG, Spain
Leonor CerdáHealth Research Institute Hospital La Fe (IIS La Fe), Spain
Maria Antonietta PascaliInstitute of Information Science and Technologies, National Research Council of Italy, ISTI-CNR, Pisa, Italy
Michela GadelloniUniversity of Pisa, Italy
Oliver DíazUniversity of Barcelona, Spain
Pedro MallolHealth Research Institute Hospital La Fe (IIS La Fe), Spain
Stefanie CharalambousMaggioli Group, Greece
Thomas TrouillardMedexprim, France
Yiannis RoussakisFORTH, Greece