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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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Deep residual learning for neuroimaging: An application to predict progression to Alzheimer’s disease

Journal of neuroscience methods, 2020-06, Vol.339, p.108701-108701, Article 108701

2020

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Replicability of time-varying connectivity patterns in large resting state fMRI samples

NeuroImage (Orlando, Fla.), 2017-12, Vol.163, p.160-176

2017

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Gray matters: ViT-GAN framework for identifying schizophrenia biomarkers linking structural MRI and functional network connectivity

NeuroImage (Orlando, Fla.), 2024-08, Vol.297, p.120674, Article 120674

2024

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NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders

NeuroImage clinical, 2020-01, Vol.28, p.102375-102375, Article 102375

2020

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Intra-Atlas Node Size Effects on Graph Metrics in fMRI Data: Implications for Alzheimer's Disease and Cognitive Impairment

Sensors (Basel, Switzerland), 2024-01, Vol.24 (3), p.814

2024

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A confounder controlled machine learning approach: Group analysis and classification of schizophrenia and Alzheimer's disease using resting-state functional network connectivity

PloS one, 2024-05, Vol.19 (5), p.e0293053-e0293053

2024

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Editorial: Machine learning in research on violence and general offending

Frontiers in psychiatry, 2023-05, Vol.14, p.1212023-1212023

2023

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Editorial: Machine learning and psychosis: Diagnosis, prognosis and treatment

Frontiers in psychiatry, 2023-02, Vol.14, p.1133072-1133072

2023

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Searching Reproducible Brain Features using NeuroMark: Templates for Different Age Populations and Imaging Modalities

NeuroImage (Orlando, Fla.), 2024-04, Vol.292, p.120617-120617, Article 120617

2024

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Evidence of shared and distinct functional and structural brain signatures in schizophrenia and autism spectrum disorder

Communications biology, 2021-09, Vol.4 (1), p.1073-1073, Article 1073

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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Schizophrenia Shows Disrupted Links between Brain Volume and Dynamic Functional Connectivity

Frontiers in neuroscience, 2017-11, Vol.11, p.624-624

2017

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Development of digital voice biomarkers and associations with cognition, cerebrospinal biomarkers, and neural representation in early Alzheimer's disease

Alzheimer's & dementia : diagnosis, assessment & disease monitoring, 2023-01, Vol.15 (1), p.e12393-n/a

2023

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Resting-State fMRI Dynamics and Null Models: Perspectives, Sampling Variability, and Simulations

Frontiers in neuroscience, 2018-09, Vol.12, p.551-551

2018

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MRI-based deep learning can discriminate between temporal lobe epilepsy, Alzheimer's disease, and healthy controls

Communications medicine, 2023-02, Vol.3 (1), p.33-33, Article 33

2023

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Multimodal active subspace analysis for computing assessment oriented subspaces from neuroimaging data

Journal of neuroscience methods, 2024-06, Vol.406, p.110109, Article 110109

2024

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An average sliding window correlation method for dynamic functional connectivity

Human brain mapping, 2019-05, Vol.40 (7), p.2089-2103

2019

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Prediction of gender from longitudinal MRI data via deep learning on adolescent data reveals unique patterns associated with brain structure and change over a two-year period

Journal of neuroscience methods, 2023-01, Vol.384, p.109744-109744, Article 109744

2023

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Determining the number of states in dynamic functional connectivity using cluster validity indexes

Journal of neuroscience methods, 2020-05, Vol.337, p.108651-108651, Article 108651

2020

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A Multimodal Deep Learning Approach for Automated Detection and Characterization of Distinctly Salient Features of Alzheimers Disease

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

2023

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The chronnectome: Evaluating replicability of dynamic connectivity patterns in 7500 resting fMRI datasets

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016, Vol.2016, p.5571-5574

2016

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Age‐related structural and functional variations in 5,967 individuals across the adult lifespan

Human brain mapping, 2020-05, Vol.41 (7), p.1725-1737

2020

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Cross-Modal Synthesis of Structural MRI and Functional Connectivity Networks via Conditional ViT-GANs

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, p.1756-1760

2024

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A phase II study repurposing atomoxetine for neuroprotection in mild cognitive impairment

Brain (London, England : 1878), 2022-06, Vol.145 (6), p.1924-1938

2022

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

Deep residual learning for neuroimaging: An application to predict progression to Alzheimer’s disease

Replicability of time-varying connectivity patterns in large resting state fMRI samples

Gray matters: ViT-GAN framework for identifying schizophrenia biomarkers linking structural MRI and functional network connectivity

NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders

Intra-Atlas Node Size Effects on Graph Metrics in fMRI Data: Implications for Alzheimer's Disease and Cognitive Impairment

A confounder controlled machine learning approach: Group analysis and classification of schizophrenia and Alzheimer's disease using resting-state functional network connectivity

Editorial: Machine learning in research on violence and general offending

Editorial: Machine learning and psychosis: Diagnosis, prognosis and treatment

Searching Reproducible Brain Features using NeuroMark: Templates for Different Age Populations and Imaging Modalities

Evidence of shared and distinct functional and structural brain signatures in schizophrenia and autism spectrum disorder

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

Schizophrenia Shows Disrupted Links between Brain Volume and Dynamic Functional Connectivity

Development of digital voice biomarkers and associations with cognition, cerebrospinal biomarkers, and neural representation in early Alzheimer's disease

Resting-State fMRI Dynamics and Null Models: Perspectives, Sampling Variability, and Simulations

MRI-based deep learning can discriminate between temporal lobe epilepsy, Alzheimer's disease, and healthy controls

Multimodal active subspace analysis for computing assessment oriented subspaces from neuroimaging data

An average sliding window correlation method for dynamic functional connectivity

Prediction of gender from longitudinal MRI data via deep learning on adolescent data reveals unique patterns associated with brain structure and change over a two-year period

Determining the number of states in dynamic functional connectivity using cluster validity indexes

A Multimodal Deep Learning Approach for Automated Detection and Characterization of Distinctly Salient Features of Alzheimers Disease

The chronnectome: Evaluating replicability of dynamic connectivity patterns in 7500 resting fMRI datasets

Age‐related structural and functional variations in 5,967 individuals across the adult lifespan

Cross-Modal Synthesis of Structural MRI and Functional Connectivity Networks via Conditional ViT-GANs

A phase II study repurposing atomoxetine for neuroprotection in mild cognitive impairment

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