186 citations · 422 across the 14 of their papers we have counts for
14 papers
Numerical Uncertainty in Linear Registration: An Experimental Study
Niusha Mirhakimi, Yohan Chatelain, Tristan Glatard +1
While linear registration is a critical step in MRI preprocessing pipelines, its numerical uncertainty is understudied. Using Monte-Carlo Arithmetic (MCA) simulations, we assessed…
AdapDISCOM: An Adaptive Sparse Regression Method for High-Dimensional Multimodal Data With Block-Wise Missingness and Measurement Errors
Maimouna Baldé, Abdoul O. Diakité, Claudia Moreau +6
Multimodal high-dimensional data are increasingly prevalent in biomedical research, yet they are often compromised by block-wise missingness and measurement errors, posing signific…
fastHDMI: Fast Mutual Information Estimation for High-Dimensional Data
Kai Yang, Masoud Asgharian, Nikhil Bhagwat +2
In this paper, we introduce fastHDMI, a Python package designed for efficient variable screening in high-dimensional datasets, particularly neuroimaging data. This work pioneers th…
Predicting Parkinson's disease trajectory using clinical and functional MRI features: a reproduction and replication study
Elodie Germani, Nikhil Baghwat, Mathieu Dugré +7
Parkinson's disease (PD) is a common neurodegenerative disorder with a poorly understood physiopathology and no established biomarkers for the diagnosis of early stages and for pre…
Benchmarking missing-values approaches for predictive models on health databases
Alexandre Perez-Lebel, Gaël Varoquaux, Marine Le Morvan +2
BACKGROUND: As databases grow larger, it becomes harder to fully control their collection, and they frequently come with missing values: incomplete observations. These large databa…
Recommendations for repositories and scientific gateways from a neuroscience perspective
Malin Sandström, Mathew Abrams, Jan Bjaalie +8
Digital services such as repositories and science gateways have become key resources for the neuroscience community, but users often have a hard time orienting themselves in the se…