The UNICORN Challenge: Statistical Analysis Plan
Abstract
* Shared first authors: Clément Grisi, Michelle Stegeman, Judith Lefkes, Marina D'Amato, Rianne Weber, Luc Builtjes, Lena Philipp, Fennie van der Graaf, Joeran Bosma ** Shared last authors: Alessa Hering, Francesco Ciompi The UNICORN (Unified beNchmark for Imaging in COmputational pathology, Radiology and Natural language) challenge is an innovative benchmarking challenge that is part of the MICCAI 2025 Lighthouse Challenges. The goal of UNICORN is to address the lack of a comprehensive, public benchmark for evaluating the performance of multimodal foundation models in medical imaging. It provides a unified set of 20 tasks that span both vision and language in the fields of radiology and digital pathology. This document provides the Statistical Analysis Plan of the UNICORN challenge.
Fields of Study & Subjects
Multimodal Machine Learning Applications
Artificial Intelligence in Healthcare and Education
Radiomics and Machine Learning in Medical Imaging
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 17 February 2026
- Language
- EN