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Reproducible neuroimaging features for diagnosis of autism spectrum disorder with machine learning

Scientific reports, 2022-02, Vol.12 (1), p.3057-3057, Article 3057

2022

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Adversarially-Regularized Mixed Effects Deep Learning (ARMED) Models Improve Interpretability, Performance, and Generalization on Clustered (non-iid) Data

IEEE transactions on pattern analysis and machine intelligence, 2023-07, Vol.45 (7), p.8081-8093

2023

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Association between resting-state functional brain connectivity and gene expression is altered in autism spectrum disorder

Nature communications, 2022-06, Vol.13 (1), p.3328-11, Article 3328

2022

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MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks

NeuroImage (Orlando, Fla.), 2021-11, Vol.241, p.118402-118402, Article 118402

2021

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Longitudinal prognosis of Parkinson’s outcomes using causal connectivity

NeuroImage clinical, 2024, Vol.42, p.103571-103571, Article 103571

2024

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Glaucoma Diagnosis Through the Integration of Optical Coherence Tomography/Angiography and Machine Learning Diagnostic Models

Clinical ophthalmology (Auckland, N.Z.), 2022-01, Vol.16, p.2685-2697

2022

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Multiple Deep Learning Architectures Achieve Superior Performance Diagnosing Autism Spectrum Disorder Using Features Previously Extracted From Structural And Functional Mri

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019, Vol.2019, p.1891-1895

2019

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Patterns of Pretreatment Reward Task Brain Activation Predict Individual Antidepressant Response: Key Results From the EMBARC Randomized Clinical Trial

Biological psychiatry (1969), 2022-03, Vol.91 (6), p.550-560

2022

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Patterns of Pre-Treatment Reward Task Brain Activation Predict Individual Antidepressant Response: Key Results from the EMBARC Randomized Clinical Trial

Biological psychiatry (1969), 2021-09, Vol.91 (6), p.550-560

2021

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Predicting Parkinson's disease trajectory using clinical and neuroimaging baseline measures

Parkinsonism & related disorders, 2021-04, Vol.85, p.44-51

2021

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(039) Patterns in Youth Suicide Risk Identified in Healthcare Encounters in a Safety-net Hospital System

Journal of the Academy of Consultation-Liaison Psychiatry, 2023-11, Vol.64, p.S20

2023

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(158) Comparison of Suicide Risk Identification in Adult Healthcare Encounters With and Without Universal Screening: Analysis of Age Group and Reason for Encounter

Journal of the Academy of Consultation-Liaison Psychiatry, 2023-11, Vol.64, p.S78

2023

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Architectural configurations, atlas granularity and functional connectivity with diagnostic value in Autism Spectrum Disorder

2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020, Vol.2020, p.1022-1025

2020

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Predicting Response to the Antidepressant Bupropion Using Pretreatment fMRI

Predictive Intelligence in Medicine, 2019, p.53-62

2019

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The Global Characterisation of a Drug-Dendrimer Conjugate - PEGylated poly-lysine Dendrimer

Journal of pharmaceutical sciences, 2023-03, Vol.112 (3), p.844-858

2023

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Reproducible neuroimaging features for diagnosis of autism spectrum disorder with machine learning

Adversarially-Regularized Mixed Effects Deep Learning (ARMED) Models Improve Interpretability, Performance, and Generalization on Clustered (non-iid) Data

Association between resting-state functional brain connectivity and gene expression is altered in autism spectrum disorder

MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks

Longitudinal prognosis of Parkinson’s outcomes using causal connectivity

Glaucoma Diagnosis Through the Integration of Optical Coherence Tomography/Angiography and Machine Learning Diagnostic Models

Multiple Deep Learning Architectures Achieve Superior Performance Diagnosing Autism Spectrum Disorder Using Features Previously Extracted From Structural And Functional Mri

Patterns of Pretreatment Reward Task Brain Activation Predict Individual Antidepressant Response: Key Results From the EMBARC Randomized Clinical Trial

Patterns of Pre-Treatment Reward Task Brain Activation Predict Individual Antidepressant Response: Key Results from the EMBARC Randomized Clinical Trial

Predicting Parkinson's disease trajectory using clinical and neuroimaging baseline measures

(039) Patterns in Youth Suicide Risk Identified in Healthcare Encounters in a Safety-net Hospital System

(158) Comparison of Suicide Risk Identification in Adult Healthcare Encounters With and Without Universal Screening: Analysis of Age Group and Reason for Encounter

Architectural configurations, atlas granularity and functional connectivity with diagnostic value in Autism Spectrum Disorder

Predicting Response to the Antidepressant Bupropion Using Pretreatment fMRI

The Global Characterisation of a Drug-Dendrimer Conjugate - PEGylated poly-lysine Dendrimer

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