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Detecting shortcut learning for fair medical AI using shortcut testing

Nature communications, 2023-07, Vol.14 (1), p.4314-4314, Article 4314

2023

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Fast temporal dynamics and causal relevance of face processing in the human temporal cortex

Nature communications, 2020-01, Vol.11 (1), p.656-656, Article 656

2020

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Brain functional integration decreases during propofol-induced loss of consciousness

NeuroImage (Orlando, Fla.), 2011-07, Vol.57 (1), p.198-205

2011

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Assessing Steady-State, Multivariate Experimental Data Using Gaussian Processes: The GPExp Open-Source Library

Energies (Basel), 2016-06, Vol.9 (6), p.423-423

2016

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Biased binomial assessment of cross-validated estimation of classification accuracies illustrated in diagnosis predictions

NeuroImage clinical, 2014-01, Vol.4 (C), p.687-694

2014

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Decoding semi-constrained brain activity from FMRI using support vector machines and gaussian processes

PloS one, 2012-04, Vol.7 (4), p.e35860-e35860

2012

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Predicting anxiety from wholebrain activity patterns to emotional faces in young adults: a machine learning approach

NeuroImage clinical, 2019-01, Vol.23, p.101813, Article 101813

2019

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fMRI Artefact Rejection and Sleep Scoring Toolbox

Computational Intelligence and Neuroscience, 2011-01, Vol.2011, p.598206-11

2011

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PRoNTo: Pattern Recognition for Neuroimaging Toolbox

Neuroinformatics (Totowa, N.J.), 2013-07, Vol.11 (3), p.319-337

2013

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Intracranial Electrophysiology Reveals Reproducible Intrinsic Functional Connectivity within Human Brain Networks

The Journal of neuroscience, 2018-04, Vol.38 (17), p.4230-4242

2018

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Cross-Modal Decoding of Neural Patterns Associated with Working Memory: Evidence for Attention-Based Accounts of Working Memory

Cerebral cortex (New York, N.Y. 1991), 2016-01, Vol.26 (1), p.166-179

2016

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Mapping human temporal and parietal neuronal population activity and functional coupling during mathematical cognition

Proceedings of the National Academy of Sciences - PNAS, 2016-11, Vol.113 (46), p.E7277-E7286

2016

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Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routing

Journal of the American Medical Informatics Association : JAMIA, 2021-09, Vol.28 (9), p.1936-1946

2021

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Decoding intracranial EEG data with multiple kernel learning method

Journal of neuroscience methods, 2016-03, Vol.261, p.19-28

2016

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Gender bias in (neuro)science: Facts, consequences, and solutions

The European journal of neuroscience, 2019-10, Vol.50 (7), p.3094-3100

2019

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Embedding Anatomical or Functional Knowledge in Whole-Brain Multiple Kernel Learning Models

Neuroinformatics (Totowa, N.J.), 2018-01, Vol.16 (1), p.117-143

2018

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Multiclass classification of FDG PET scans for the distinction between Parkinson's disease and atypical parkinsonian syndromes

NeuroImage clinical, 2013-01, Vol.2, p.883-893

2013

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Concurrent synaptic and systems memory consolidation during sleep

The Journal of neuroscience, 2013-06, Vol.33 (24), p.10182-10190

2013

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Correlation between resting state fMRI total neuronal activity and PET metabolism in healthy controls and patients with disorders of consciousness

Brain and behavior, 2016-01, Vol.6 (1), p.e00424-n/a

2016

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Concept-based model explanations for electronic health records

Proceedings of the Conference on Health, Inference, and Learning, 2021, p.36-46

2021

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Healthsheet: Development of a Transparency Artifact for Health Datasets

Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency, 2022, p.1943-1961

2022

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Interpreting weight maps in terms of cognitive or clinical neuroscience: nonsense?

2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 2018, p.1-4

2018

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Localizing and Comparing Weight Maps Generated from Linear Kernel Machine Learning Models

2013 International Workshop on Pattern Recognition in Neuroimaging, 2013, p.124-127

2013

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Decoding memory processing from electro-corticography in human posteromedial cortex

2014 International Workshop on Pattern Recognition in Neuroimaging, 2014, p.1-4

2014

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Decoding Spontaneous Brain Activity from fMRI Using Gaussian Processes: Tracking Brain Reactivation

2012 Second International Workshop on Pattern Recognition in NeuroImaging, 2012, p.61-64

2012

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Detecting shortcut learning for fair medical AI using shortcut testing

Fast temporal dynamics and causal relevance of face processing in the human temporal cortex

Brain functional integration decreases during propofol-induced loss of consciousness

Assessing Steady-State, Multivariate Experimental Data Using Gaussian Processes: The GPExp Open-Source Library

Biased binomial assessment of cross-validated estimation of classification accuracies illustrated in diagnosis predictions

Decoding semi-constrained brain activity from FMRI using support vector machines and gaussian processes

Predicting anxiety from wholebrain activity patterns to emotional faces in young adults: a machine learning approach

fMRI Artefact Rejection and Sleep Scoring Toolbox

PRoNTo: Pattern Recognition for Neuroimaging Toolbox

Intracranial Electrophysiology Reveals Reproducible Intrinsic Functional Connectivity within Human Brain Networks

Cross-Modal Decoding of Neural Patterns Associated with Working Memory: Evidence for Attention-Based Accounts of Working Memory

Mapping human temporal and parietal neuronal population activity and functional coupling during mathematical cognition

Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routing

Decoding intracranial EEG data with multiple kernel learning method

Gender bias in (neuro)science: Facts, consequences, and solutions

Embedding Anatomical or Functional Knowledge in Whole-Brain Multiple Kernel Learning Models

Multiclass classification of FDG PET scans for the distinction between Parkinson's disease and atypical parkinsonian syndromes

Concurrent synaptic and systems memory consolidation during sleep

Correlation between resting state fMRI total neuronal activity and PET metabolism in healthy controls and patients with disorders of consciousness

Concept-based model explanations for electronic health records

Healthsheet: Development of a Transparency Artifact for Health Datasets

Interpreting weight maps in terms of cognitive or clinical neuroscience: nonsense?

Localizing and Comparing Weight Maps Generated from Linear Kernel Machine Learning Models

Decoding memory processing from electro-corticography in human posteromedial cortex

Decoding Spontaneous Brain Activity from fMRI Using Gaussian Processes: Tracking Brain Reactivation

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