Maëlys Solal

According to our database, Maëlys Solal authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Mitigating the Reconstruction-Detection Trade-Off in Vae-Based Unsupervised Anomaly Detection.

Agathe Senellart, Maëlys Solal, Stéphanie Allassonnière, Ninon Burgos

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Medical Imaging AI Competitions Lack Fairness.

Annika Reinke, Evangelia Christodoulou, Sthuthi Sadananda, A. Emre Kavur, Khrystyna Faryna, Daan Schouten, Bennett A. Landman, Carole H. Sudre, Olivier Colliot, Nicholas Heller, Sophie Loizillon, Martin Maska, Maëlys Solal, Arya Yazdan Panah, Vilma Bozgo, Ömer Sümer, Siem de Jong, Sophie Fischer, Michal Kozubek, Tim Rädsch, Nadim Hammoud, Fruzsina Molnár-Gábor, Steven Hicks, Michael A. Riegler, Anindo Saha, Vajira Thambawita, Pål Halvorsen, Amelia Jiménez-Sánchez, Qingyang Yang, Veronika Cheplygina, Sabrina Bottazzi, Alexander Seitel, Spyridon Bakas, Alexandros Karargyris, Kiran Vaidhya Venkadesh, Bram van Ginneken, Lena Maier-Hein

CoRR, December, 2025

False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims.

Evangelia Christodoulou, Annika Reinke, Pascaline Andrè, Patrick Godau, Piotr Kalinowski, Rola Houhou, Selen Erkan, Carole H. Sudre, Ninon Burgos, Sofiène Boutaj, Sophie Loizillon, Maëlys Solal, Veronika Cheplygina, Charles Heitz, Michal Kozubek, Michela Antonelli, Nicola Rieke, Antoine Gilson, Leon D. Mayer, Minu Dietlinde Tizabi, Manuel Jorge Cardoso, Amber L. Simpson, Annette Kopp-Schneider, Gaël Varoquaux, Olivier Colliot, Lena Maier-Hein

CoRR, May, 2025

2024

Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PET.

Ravi Hassanaly, Camille Brianceau, Maëlys Solal, Olivier Colliot, Ninon Burgos

CoRR, 2024

Confidence Intervals Uncovered: Are We Ready for Real-World Medical Imaging AI?

Evangelia Christodoulou, Annika Reinke, Rola Houhou, Piotr Kalinowski, Selen Erkan, Carole H. Sudre, Ninon Burgos, Sofiène Boutaj, Sophie Loizillon, Maëlys Solal, Nicola Rieke, Veronika Cheplygina, Michela Antonelli, Leon D. Mayer, Minu Dietlinde Tizabi, M. Jorge Cardoso, Amber L. Simpson, Paul F. Jäger, Annette Kopp-Schneider, Gaël Varoquaux, Olivier Colliot, Lena Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Leveraging healthy population variability in deep learning unsupervised anomaly detection in brain FDG PET.

Maëlys Solal, Ravi Hassanaly, Ninon Burgos

CoRR, 2023

Using uncertainty-aware machine learning models to study aerosol-cloud interactions.

Maëlys Solal, Andrew Jesson, Yarin Gal, Alyson Douglas

CoRR, 2023

2022

Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions.

Andrew Jesson, Alyson Douglas, Peter Manshausen, Maëlys Solal, Nicolai Meinshausen, Philip Stier, Yarin Gal, Uri Shalit

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022