| Boutiques: a flexible framework to integrate command-line applications in computing platforms T Glatard, G Kiar, T Aumentado-Armstrong, N Beck, P Bellec, R Bernard, ... GigaScience 7 (5), giy016, 2018 | 23 | 2018 |
| PyBIDS: Python tools for BIDS datasets T Yarkoni, CJ Markiewicz, A de la Vega, KJ Gorgolewski, T Salo, ... Journal of open source software 4 (40), 2019 | 19 | 2019 |
| Brainhack: Developing a culture of open, inclusive, community-driven neuroscience R Gau, S Noble, K Heuer, KL Bottenhorn, IP Bilgin, YF Yang, ... Neuron 109 (11), 1769-1775, 2021 | 12 | 2021 |
| Planning for ecological connectivity across scales of governance in a multifunctional regional landscape L Parrott, C Kyle, V Hayot-Sasson, C Bouchard, JA Cardille Ecosystems and People 15 (1), 204-213, 2019 | 9 | 2019 |
| Boutiques: a flexible framework for automated application integration in computing platforms T Glatard, G Kiar, T Aumentado-Armstrong, N Beck, P Bellec, R Bernard, ... arXiv preprint arXiv:1711.09713, 2017 | 8 | 2017 |
| A performance comparison of Dask and Apache Spark for data-intensive neuroimaging pipelines M Dugré, V Hayot-Sasson, T Glatard 2019 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS), 40-49, 2019 | 6 | 2019 |
| Sequential algorithms to split and merge ultra-high resolution 3D images V Hayot-Sasson, Y Gao, Y Yan, T Glatard 2017 IEEE International Conference on Big Data (Big Data), 415-424, 2017 | 3 | 2017 |
| Performance benefits of Intel® Optane™ DC persistent memory for the parallel processing of large neuroimaging data V Hayot-Sasson, ST Brown, T Glatard 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet …, 2020 | 2 | 2020 |
| Performance Evaluation of Big Data Processing Strategies for Neuroimaging V Hayot-Sasson, ST Brown, T Glatard 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2019 | 2 | 2019 |
| The benefits of prefetching for large-scale cloud-based neuroimaging analysis workflows V Hayot-Sasson, T Glatard, A Rokem 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 42-49, 2021 | 1 | 2021 |
| Towards easy and efficient processing of ultra-high resolution brain images V Hayot-Sasson Concordia University, 2017 | 1 | 2017 |
| Modeling the Linux page cache for accurate simulation of data-intensive applications HD Do, V Hayot-Sasson, RF Da Silva, C Steele, H Casanova, T Glatard 2021 IEEE International Conference on Cluster Computing (CLUSTER), 398-408, 2021 | | 2021 |
| Performance benefits of Intel (R) OptaneTM DC persistent memory for the parallel processing of large neuroimaging data V Hayot-Sasson, ST Brown, T Glatard arXiv preprint arXiv:1912.11794, 2019 | | 2019 |
| Evaluation of pilot jobs for Apache Spark applications on HPC clusters V Hayot-Sasson, T Glatard 2019 15th International Conference on eScience (eScience), 146-155, 2019 | | 2019 |
| Towards easy and efficient processing of large brain imagery data V Hayot-Sasson, LB Lewis, AC Evans, T Glatard 4 th Annual PERFORM Centre Research Conference, 49, 2017 | | 2017 |
