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Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning

Nature communications, 2021-01, Vol.12 (1), p.353-353, Article 353

2021

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Individualized spatial network predictions using Siamese convolutional neural networks: A resting-state fMRI study of over 11,000 unaffected individuals

PloS one, 2022-01, Vol.17 (1), p.e0249502

2022

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Independent component analysis for brain FMRI does indeed select for maximal independence

PloS one, 2013-08, Vol.8 (8), p.e73309-e73309

2013

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Reward Processing in Novelty Seekers: A Transdiagnostic Psychiatric Imaging Biomarker

Biological psychiatry (1969), 2021-10, Vol.90 (8), p.529-539

2021

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Multidataset Independent Subspace Analysis With Application to Multimodal Fusion

IEEE transactions on image processing, 2021-01, Vol.30, p.588-602

2021

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dcSBM: A federated constrained source-based morphometry approach for multivariate brain structure mapping

Human brain mapping, 2023-12, Vol.44 (17), p.5892-5905

2023

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Integrating Cognitive Radio with Unmanned Aerial Vehicles: An Overview

Sensors (Basel, Switzerland), 2021-01, Vol.21 (3), p.830

2021

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Decentralized dynamic functional network connectivity: State analysis in collaborative settings

Human brain mapping, 2020-08, Vol.41 (11), p.2909-2925

2020

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Three‐way parallel group independent component analysis: Fusion of spatial and spatiotemporal magnetic resonance imaging data

Human brain mapping, 2022-03, Vol.43 (4), p.1280-1294

2022

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Spatiospectral Decomposition of Multi-subject EEG: Evaluating Blind Source Separation Algorithms on Real and Realistic Simulated Data

Brain topography, 2018-01, Vol.31 (1), p.47-61

2018

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Genomic patterns linked to gray matter alterations underlying working memory deficits in adults and adolescents with attention-deficit/hyperactivity disorder

Translational psychiatry, 2023-02, Vol.13 (1), p.50-50, Article 50

2023

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Frequency-Aware Summarization of Resting-State fMRI Data

Frontiers in systems neuroscience, 2020-04, Vol.14, p.16-16

2020

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Comparison of PCA approaches for very large group ICA

NeuroImage (Orlando, Fla.), 2015-09, Vol.118, p.662-666

2015

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Memory Efficient PCA Methods for Large Group ICA

Frontiers in neuroscience, 2016-02, Vol.10, p.17-17

2016

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Joint multi-site domain adaptation and multi-modality feature selection for the diagnosis of psychiatric disorders

NeuroImage clinical, 2024, Vol.43, p.103663, Article 103663

2024

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A Correlated Noise-Assisted Decentralized Differentially Private Estimation Protocol, and its Application to fMRI Source Separation

IEEE transactions on signal processing, 2021, Vol.69, p.6355-6370

2021

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Multimodal Subspace Independent Vector Analysis Better Captures Hidden Relationships in Multimodal Neuroimaging Data

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023, p.1-5

2023

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Evaluation of Comt2, Comt3, Cyp1b1, and Esr1 gene polymorphisms as risk factor for endometrial polyp

Women & health, 2023-11, Vol.63 (10), p.818-827

2023

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Evaluating Trade-Offs in IVA of Multimodal Neuroimaging using Cross-Platform Multidataset Independent Subspace Analysis

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023, p.1-5

2023

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Decentralized temporal independent component analysis: Leveraging fMRI data in collaborative settings

NeuroImage (Orlando, Fla.), 2019-02, Vol.186, p.557-569

2019

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Parallel group ICA+ICA: Joint estimation of linked functional network variability and structural covariation with application to schizophrenia

Human brain mapping, 2019-09, Vol.40 (13), p.3795-3809

2019

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Any-Way Independent Component Analysis with Reference

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023, p.1-4

2023

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Territory, neglected diseases and the action of community and endemic combat agents

Revista de saúde pública, 2022-01, Vol.56, p.27-27

2022

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Decentralized Analysis of Brain Imaging Data: Voxel-Based Morphometry and Dynamic Functional Network Connectivity

Frontiers in neuroinformatics, 2018-08, Vol.12, p.55-55

2018

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Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning

Individualized spatial network predictions using Siamese convolutional neural networks: A resting-state fMRI study of over 11,000 unaffected individuals

Independent component analysis for brain FMRI does indeed select for maximal independence

Reward Processing in Novelty Seekers: A Transdiagnostic Psychiatric Imaging Biomarker

Multidataset Independent Subspace Analysis With Application to Multimodal Fusion

dcSBM: A federated constrained source-based morphometry approach for multivariate brain structure mapping

Integrating Cognitive Radio with Unmanned Aerial Vehicles: An Overview

A baseline for the multivariate comparison of resting-state networks

Decentralized dynamic functional network connectivity: State analysis in collaborative settings

Three‐way parallel group independent component analysis: Fusion of spatial and spatiotemporal magnetic resonance imaging data

Spatiospectral Decomposition of Multi-subject EEG: Evaluating Blind Source Separation Algorithms on Real and Realistic Simulated Data

Genomic patterns linked to gray matter alterations underlying working memory deficits in adults and adolescents with attention-deficit/hyperactivity disorder

Frequency-Aware Summarization of Resting-State fMRI Data

Comparison of PCA approaches for very large group ICA

Memory Efficient PCA Methods for Large Group ICA

Joint multi-site domain adaptation and multi-modality feature selection for the diagnosis of psychiatric disorders

A Correlated Noise-Assisted Decentralized Differentially Private Estimation Protocol, and its Application to fMRI Source Separation

Multimodal Subspace Independent Vector Analysis Better Captures Hidden Relationships in Multimodal Neuroimaging Data

Evaluation of Comt2, Comt3, Cyp1b1, and Esr1 gene polymorphisms as risk factor for endometrial polyp

Evaluating Trade-Offs in IVA of Multimodal Neuroimaging using Cross-Platform Multidataset Independent Subspace Analysis

Decentralized temporal independent component analysis: Leveraging fMRI data in collaborative settings

Parallel group ICA+ICA: Joint estimation of linked functional network variability and structural covariation with application to schizophrenia

Any-Way Independent Component Analysis with Reference

Territory, neglected diseases and the action of community and endemic combat agents

Decentralized Analysis of Brain Imaging Data: Voxel-Based Morphometry and Dynamic Functional Network Connectivity

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