Bruno Michel Jedynak — accepted AI-conference papers

2025

Optical Coherence Tomography Harmonization with Anatomy-Guided Latent Metric Schrödinger Bridges

Shuwen Wei, Samuel W. Remedios, Blake E. Dewey, Zhangxing Bian, Shimeng Wang, Junyu Chen +5

NeurIPS 2025poster

Medical image harmonization aims to reduce the differences in appearance caused by scanner hardware variations to allow for consistent and reliable comparisons across devices. Harmonization based on paired images from different devices has limited applicability in real-world clinical settings. On th…

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2021

Learning Riemannian metric for disease progression modeling

Samuel Gruffaz, Pierre-Emmanuel Poulet, Etienne Maheux, Bruno Michel Jedynak, Stanley Durrleman

NeurIPS 2021poster

Linear mixed-effect models provide a natural baseline for estimating disease progression using longitudinal data. They provide interpretable models at the cost of modeling assumptions on the progression profiles and their variability across subjects. A significant improvement is to embed the data in…

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