Jessica Schrouff
Jessica Schrouff
Verified email at
Cited by
Cited by
Underspecification presents challenges for credibility in modern machine learning
A D'Amour, K Heller, D Moldovan, B Adlam, B Alipanahi, A Beutel, ...
Journal of Machine Learning Research 23 (226), 1-61, 2022
PRoNTo: pattern recognition for neuroimaging toolbox
J Schrouff, MJ Rosa, JM Rondina, AF Marquand, C Chu, J Ashburner, ...
Neuroinformatics 11, 319-337, 2013
Brain functional integration decreases during propofol-induced loss of consciousness
J Schrouff, V Perlbarg, M Boly, G Marrelec, P Boveroux, ...
Neuroimage 57 (1), 198-205, 2011
Biased binomial assessment of cross-validated estimation of classification accuracies illustrated in diagnosis predictions
Q Noirhomme, D Lesenfants, F Gomez, A Soddu, J Schrouff, G Garraux, ...
NeuroImage: Clinical 4, 687-694, 2014
Intracranial electrophysiology reveals reproducible intrinsic functional connectivity within human brain networks
A Kucyi, J Schrouff, S Bickel, BL Foster, JM Shine, J Parvizi
Journal of Neuroscience 38 (17), 4230-4242, 2018
Multiclass classification of FDG PET scans for the distinction between Parkinson's disease and atypical parkinsonian syndromes
G Garraux, C Phillips, J Schrouff, A Kreisler, C Lemaire, C Degueldre, ...
NeuroImage: Clinical 2, 883-893, 2013
Cross-modal decoding of neural patterns associated with working memory: Evidence for attention-based accounts of working memory
S Majerus, N Cowan, F Péters, L Van Calster, C Phillips, J Schrouff
Cerebral Cortex 26 (1), 166-179, 2016
Mapping human temporal and parietal neuronal population activity and functional coupling during mathematical cognition
AL Daitch, BL Foster, J Schrouff, V Rangarajan, I Kaºikçi, S Gattas, ...
Proceedings of the National Academy of Sciences 113 (46), E7277-E7286, 2016
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings
J Schrouff, N Harris, OO Koyejo, I Alabdulmohsin, E Schnider, ...
Advances in Neural Information Processing Systems, 2022
Embedding anatomical or functional knowledge in whole-brain multiple kernel learning models
J Schrouff, JM Monteiro, L Portugal, MJ Rosa, C Phillips, ...
Neuroinformatics 16, 117-143, 2018
fMRI artefact rejection and sleep scoring toolbox
Y Leclercq, J Schrouff, Q Noirhomme, P Maquet, C Phillips
Computational intelligence and neuroscience 2011, 2011
Gender bias in (neuro) science: facts, consequences, and solutions
J Schrouff, D Pischedda, S Genon, G Fryns, A Luísa Pinho, E Vassena, ...
European journal of neuroscience 50 (7), 3094-3100, 2019
Experience‐dependent induction of hypnagogic images during daytime naps: A combined behavioural and EEG study
C Kussé, A SHAFFII‐LE BOURDIEC, J Schrouff, L Matarazzo, P Maquet
Journal of Sleep Research 21 (1), 10-20, 2012
Localizing and comparing weight maps generated from linear kernel machine learning models
J Schrouff, J Cremers, G Garraux, L Baldassarre, J Mourão-Miranda, ...
2013 International Workshop on Pattern Recognition in Neuroimaging, 124-127, 2013
Correlation between resting state fMRI total neuronal activity and PET metabolism in healthy controls and patients with disorders of consciousness
A Soddu, F Gómez, L Heine, C Di Perri, MA Bahri, HU Voss, MA Bruno, ...
Brain and behavior 6 (1), e00424, 2016
Healthsheet: development of a transparency artifact for health datasets
N Rostamzadeh, D Mincu, S Roy, A Smart, L Wilcox, M Pushkarna, ...
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
Concurrent synaptic and systems memory consolidation during sleep
L Mascetti, A Foret, J Schrouff, V Muto, V Dideberg, E Balteau, ...
Journal of Neuroscience 33 (24), 10182-10190, 2013
Decoding intracranial EEG data with multiple kernel learning method
J Schrouff, J Mourão-Miranda, C Phillips, J Parvizi
Journal of neuroscience methods 261, 19-28, 2016
Decoding semi-constrained brain activity from fMRI using support vector machines and Gaussian processes
J Schrouff, C Kussé, L Wehenkel, P Maquet, C Phillips
PLoS one 7 (4), e35860, 2012
Predicting anxiety from wholebrain activity patterns to emotional faces in young adults: a machine learning approach
LCL Portugal, J Schrouff, R Stiffler, M Bertocci, G Bebko, H Chase, ...
NeuroImage: Clinical 23, 101813, 2019
The system can't perform the operation now. Try again later.
Articles 1–20