6 citations · 11 across the 5 of their papers we have counts for
6 papers
Performance comparison of Dask and Apache Spark on HPC systems for Neuroimaging
Mathieu Dugré, Valérie Hayot-Sasson, Tristan Glatard
The general increase in data size and data sharing motivates the adoption of Big Data strategies in several scientific disciplines. However, while several options are available, no…
An Analysis of Performance Bottlenecks in MRI Pre-Processing
Mathieu Dugré, Yohan Chatelain, Tristan Glatard
Magnetic Resonance Image (MRI) pre-processing is a critical step for neuroimaging analysis. However, the computational cost of MRI pre-processing pipelines is a major bottleneck fo…
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…
Sea: A lightweight data-placement library for Big Data scientific computing
Valérie Hayot-Sasson, Mathieu Dugré, Tristan Glatard
The recent influx of open scientific data has contributed to the transitioning of scientific computing from compute intensive to data intensive. Whereas many Big Data frameworks ex…
An Analysis of Security Vulnerabilities in Container Images for Scientific Data Analysis
Bhupinder Kaur, Mathieu Dugré, Aiman Hanna +1
Software containers greatly facilitate the deployment and reproducibility of scientific data analyses in various platforms. However, container images often contain outdated or unne…
A performance comparison of Dask and Apache Spark for data-intensive neuroimaging pipelines
Mathieu Dugré, Valérie Hayot-Sasson, Tristan Glatard
In the past few years, neuroimaging has entered the Big Data era due to the joint increase in image resolution, data sharing, and study sizes. However, no particular Big Data engin…