The UNICORN Challenge: Statistical Analysis Plan

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Authors: Judith Lefkes, Clément Grisi, Marina D'Amato, Michelle Stegeman, Luc Builtjes, Joeran S. Bosma, Rianne Weber, Lena Philipp, Fennie Van der Graaf, Colin Jacobs, Geert J. S. Litjens, HenkJan J. Huisman
+3 more Jeroen A. W. M. van der Laak, Francesco Ciompi, Alessa Hering
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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