Access all articles on my Google scholar profile.
Causal inference for Medical Analysis
Clinical Impact of a Universal Remote Monitoring Platform for ICD and CRT-D Follow-up from a Large Real-World Registry. — Varma N, Marijon E, Abraham A, Ibnouhsein I, Bonnet JL, Rosier A, Singh J — HRS 2023 Late Breaking Clinical Trials
COVID-19
An in silico drug repurposing pipeline to identify drugs with the potential to inhibit SARS-CoV-2 replication — MacMahon M, Hwang W, Yim S, MacMahon E, Abraham A, Barton J, Tharmakulasingam M, Bilokon P, Gaddi VP, Han, N. — Informatics in Medicine Unlocked
Active Learning and Model Uncertainty Estimation
OpenAL: Evaluation and Interpretation of Active Learning Strategies. — Jonas W, Abraham A, Dreyfus-Schmidt L — NeurIPS 2022 Workshop on Human in the Loop Learning
Towards Clear Expectations for Uncertainty Estimation. — Bouvier V, Maggio S, Abraham A, Dreyfus-Schmidt L — ICLR 2022 Workshop on ML Evaluation Standards
Cardinal, a metric-based Active learning framework. — Abraham A, Dreyfus-Schmidt L — Software Impacts
Sample Noise Impact on Active Learning. — Abraham A, Dreyfus-Schmidt L — IAL Workshop at ECML PKDD 2021
Rebuilding Trust in Active Learning with Actionable Metrics. — Abraham A, Dreyfus-Schmidt L — ICDMW 2020
Functional Neuroimaging
Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example. — Abraham A, Milham MP, Di Martino A, Craddock RC, Samaras D, Thirion B, Varoquaux G. — NeuroImage 2017
Learning functional brain atlases modeling inter-subject variability — Abraham A. — PhD thesis 2015
Machine learning for neuroimaging with scikit-learn. — Abraham A, Pedregosa F, Eickenberg M, Gervais P, Mueller A, Kossaifi J, Gramfort A, Thirion B, Varoquaux G. — Frontiers in neuroinformatics 2014
Region segmentation for sparse decompositions: better brain parcellations from rest fMRI. — Abraham A, Dohmatob E, Thirion B, Samaras D, Varoquaux G. — International Workshop on Sparsity Techniques in Medical Imaging 2014
Extracting brain regions from rest fMRI with total-variation constrained dictionary learning. — Abraham A, Dohmatob E, Thirion B, Samaras D, Varoquaux G. — International Conference on Medical Image Computing and Computer-Assisted Intervention 2013
Benchmarking functional connectome-based predictive models for resting-state fMRI. — Dadi K, Rahim M, Abraham A, Chyzhyk D, Milham M, Thirion B, Varoquaux G, Alzheimer’s Disease Neuroimaging Initiative. — NeuroImage 2019
Predicting brain-age from multimodal imaging data captures cognitive impairment. — Liem F, Varoquaux G, Kynast J, Beyer F, Masouleh SK, Huntenburg JM, Lampe L, Rahim M, Abraham A, Craddock RC, Riedel-Heller S. — Neuroimage 2017
Loading and plotting of cortical surface representations in Nilearn. — Huntenburg J, Abraham A, Loula J, Liem F, Dadi K, Varoquaux G. — Research Ideas and Outcomes 2017
Comparing functional connectivity based predictive models across datasets. — Dadi K, Abraham A, Rahim M, Thirion B, Varoquaux G. — International Workshop on Pattern Recognition in Neuroimaging 2016
Integrating multimodal priors in predictive models for the functional characterization of alzheimer’s disease. — Rahim M, Thirion B, Abraham A, Eickenberg M, Dohmatob E, Comtat C, Varoquaux G. — International Conference on Medical Image Computing and Computer-Assisted Intervention 2015
Recommender Systems
Offline A/B testing for recommender systems. — Gilotte A, Calauzènes C, Nedelec T, Abraham A, Dollé S. — Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining 2018
Morphological Image Processing
Morphology on color images. — Abraham A. — Master’s thesis
Topological Watershed. — Abraham A. — Master’s thesis