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Alexandre ABRAHAM
Alexandre ABRAHAM
Implicity
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Leto
Machine learning for neuroimaging with scikit-learn
A Abraham, F Pedregosa, M Eickenberg, P Gervais, A Mueller, J Kossaifi, ...
Frontiers in neuroinformatics 8, 14, 2014
22022014
Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example
A Abraham, MP Milham, A Di Martino, RC Craddock, D Samaras, ...
NeuroImage 147, 736-745, 2017
7182017
Predicting brain-age from multimodal imaging data captures cognitive impairment
F Liem, G Varoquaux, J Kynast, F Beyer, SK Masouleh, JM Huntenburg, ...
Neuroimage 148, 179-188, 2017
5012017
Benchmarking functional connectome-based predictive models for resting-state fMRI
K Dadi, M Rahim, A Abraham, D Chyzhyk, M Milham, B Thirion, ...
NeuroImage 192, 115-134, 2019
3482019
Offline a/b testing for recommender systems
A Gilotte, C Calauzènes, T Nedelec, A Abraham, S Dollé
Proceedings of the eleventh ACM international conference on web search and …, 2018
2502018
Extracting brain regions from rest fMRI with total-variation constrained dictionary learning
A Abraham, E Dohmatob, B Thirion, D Samaras, G Varoquaux
International conference on medical image computing and computer-assisted …, 2013
752013
Integrating multimodal priors in predictive models for the functional characterization of Alzheimer’s disease
M Rahim, B Thirion, A Abraham, M Eickenberg, E Dohmatob, C Comtat, ...
Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015
162015
Loading and plotting of cortical surface representations in Nilearn
J Huntenburg, A Abraham, J Loula, F Liem, K Dadi, G Varoquaux
Research Ideas and Outcomes 3, e12342, 2017
152017
Comparing functional connectivity based predictive models across datasets
K Dadi, A Abraham, M Rahim, B Thirion, G Varoquaux
2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 1-4, 2016
132016
Region segmentation for sparse decompositions: better brain parcellations from rest fMRI
A Abraham, E Dohmatob, B Thirion, D Samaras, G Varoquaux
arXiv preprint arXiv:1412.3925, 2014
132014
Rebuilding trust in active learning with actionable metrics
A Abraham, L Dreyfus-Schmidt
2020 International Conference on Data Mining Workshops (ICDMW), 836-843, 2020
62020
Sample noise impact on active learning
A Abraham, L Dreyfus-Schmidt
arXiv preprint arXiv:2109.01372, 2021
52021
Learning functional brain atlases modeling inter-subject variability
A Abraham
Université Paris-Saclay, 2015
52015
An in silico drug repurposing pipeline to identify drugs with the potential to inhibit SARS-CoV-2 replication
M MacMahon, W Hwang, S Yim, E MacMahon, A Abraham, J Barton, ...
Informatics in Medicine Unlocked 43, 101387, 2023
2*2023
Cardinal, a metric-based Active learning framework
A Abraham, L Dreyfus-Schmidt
Software Impacts 12, 100250, 2022
22022
Cost impact of the use of a universal cardiac implantable electronic devices remote monitoring solution: results of the Evidence RM study
E Marijon, E Vicaut, A Abraham, I Ibnouhsein, C Henry, G Faedda, ...
European Heart Journal 45 (Supplement_1), ehae666. 3543, 2024
12024
Towards clear expectations for uncertainty estimation
V Bouvier, S Maggio, A Abraham, L Dreyfus-Schmidt
arXiv preprint arXiv:2207.13341, 2022
12022
Deriving robust biomarkers from multi-site resting-state data An Autism-based example
A Abraham, M Milham, AD Martino, RC Craddock, D Samaras, B Thirion, ...
1
Impact of a universal monitoring system (“third party”) on outcomes of ICD patients: A nationwide study
N Varma, E Marijon, É Vicaut, S Boveda, A Abraham, I Ibnouhsein, ...
Heart Rhythm, 2024
2024
Improving Bias Correction Standards by Quantifying its Effects on Treatment Outcomes
A Abraham, AH Idrobo
arXiv preprint arXiv:2407.14861, 2024
2024
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