mRALE Mastermind Challenge.

Last updated January 27, 2026

Congratulations to all test phase participants and the best performing mRALE Masterminds! Performances were great overall.

The mRALE Mastermind webinar video has been posted on our YouTube channel; The top 3 teams discuss their approaches and answer questions from the audience.

Publications:

Drukker, Karen, Samuel G. Armato, Lubomir Hadjiiski, Judy Gichoya, Nicholas Gruszauskas, Jayashree Kalpathy-Cramer, Hui Li, Kyle J. Myers, Robert M. Tomek, Heather M. Whitney, Zi Zhang, Maryellen L. Giger, Machine learning evaluation of pneumonia severity: subgroup performance in the Medical Imaging and Data Resource Center modified radiographic assessment of lung edema mastermind challenge, J. Med. Imag. 12(5), 054502 (2025), doi: 10.1117/1.JMI.12.5.054502.

Armato, Samuel G., Karen Drukker, Lubomir Hadjiiski, Carol C. Wu, Jayashree Kalpathy-Cramer, George Shih, Maryellen L. Giger, Natalie Baughan, Benjamin Bearce, Adam E. Flanders, Robyn L. Ball, Kyle J. Myers, Heather M. Whitney, the MIDRC Grand Challenge Working Group, Medical Imaging and Data Resource Center mRALE Mastermind Grand Challenge: AI to predict COVID severity on chest radiographs, J. Med. Imag. 12(2), 024505 (2025), doi: 10.1117/1.JMI.12.2.024505.

Full list of high-performing teams

  1. Ian Pan, Brigham and Women's

  2. Ran Zhang, University of Wisconsin-Madison

  3. Finn Behrendt, University of Technology Hamburg

  4. Team MALTA, Pontifícia Universidade Católica do Rio Grande do Sul

Christian Mattjie

Luis Vinicius de Moura

Rafaela Cappelari Ravazio

Otavio Parraga

Lucas Silveira Kupssinskü

Adilson

Rodrigo Coelho Barros

5. Yijie Yuan JHMI

6. Team University of Kentucky

Cohen Archbold

Imran Abdullah-Al-Zubaer

Atik Ahamed

7. Mathieu Goulet, Centre régional intégré de cancérologie (CRIC)

8. Team University of Waterloo

Yifan Wu

Hayden Gunraj 

Chengzong Zhao 

Yuhao Chen, PhD 

Alexander Wong

 Pengcheng Xi

9. Team National Library of Medicine (NLM)

Stanley Liang

Sameer Antani

Zhiyun Xue

Sivaramakrishnan Rajaraman

Feng Yang

Many thanks to the expert radiologist annotators who participated in the annotation event and scored portable chest radiographs for COVID severity in terms of mRALE score to provide a reference standard for our mRALE Mastermind Challenge.