Position
PhD student from EDIPS (Université Paris-sud).
IT, bioinformatics and biostatistics background (see ENSIIE and BIBS websites).
More on http://fr.linkedin.com/in/virgilefritsch.
Contact
- Email: virgile -dot- fritsch -at- inria -dot- fr
- Address: Neurospin, Bâtiment 145, point courrier 156, CEA Saclay, 91191 Gif sur Yvette – France
- Phone: +33 (0)1 69 08 80 85
Research interests
- Robust statistics, covariance estimation, outlier detection.
- High-dimensional data statistical analysis: application to the inter-individuals variability in the neuroimaging field.
- Improvement of surface-based fMRI data analysis.
- Machine learning
Publications
- Fritsch, V., Varoquaux, G., Benjamin, T., Poline, J.B., Thirion, B.: Detecting Outliers in High-Dimensional Neuroimaging Datasets with Robust Covariance Estimators. In: Medical Image Analysis (2012)
- Fritsch, V., Varoquaux, G., Benjamin, T., Poline, J.B., Thirion, B.: Detecting Outlying Subjects in High-Dimensional Neuroimaging Datasets with Regularized Minimum Covariance Determinant. In: Med Image Comput Comput Assist Interv. vol. Part III, pp. pp. 264–271. Springer-Verlag, Toronto, Canada (2011)
- Fritsch, V., Varoquaux, G., Poline, J.B., Thirion, B.: Non-parametric Density Modeling and Outlier Detection in Medical Imaging Datasets, In: Machine Learning in Medical Imaging – Miccai 2012 workshop (2012)
