Présentation
I am an engineer in my second year as a PhD student at the CREATIS research laboratory, specializing in the domain of medical image processing.
My research primarily centers on the development of representation learning methods for the comprehensive analysis of myocardial MR images.
Compétences
Python (Tensorflow, Keras, NumPy, Scikit-learn, Pandas)
Matlab, C++, Bash
Git, LaTeX, Microsoft Office
Publications
Publications
Comparison of synthetic LGE with optimal inversion time vs. conventional LGE via representation learning: quantification of bias in population analysisComputers in Biology and Medicine, 2025, 196, pp.110643. ⟨10.1016/j.compbiomed.2025.110643⟩ |
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Hierarchical data integration with Gaussian processes: application to the characterization of cardiac ischemia-reperfusion patternsIEEE Transactions on Medical Imaging, In press, 44 (3), pp.1529-1540. ⟨10.1109/TMI.2024.3512175⟩ |
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