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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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Targeted Metabolomic Analysis in Alzheimer's Disease Plasma and Brain Tissue in Non-Hispanic Whites

Journal of Alzheimer's disease, 2022-01, Vol.86 (4), p.1875-1895

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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Novel machine learning approaches for improving the reproducibility and reliability of functional and effective connectivity from functional MRI

Journal of neural engineering, 2023-12, Vol.20 (6), p.66023

2023

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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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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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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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Longitudinal prognosis of Parkinson’s outcomes using causal connectivity

NeuroImage clinical, 2024-01, Vol.42, p.103571, Article 103571

2024

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Pitfalls and Recommended Strategies and Metrics for Suppressing Motion Artifacts in Functional MRI

Neuroinformatics (Totowa, N.J.), 2022-10, Vol.20 (4), p.879-896

2022

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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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BLENDS: Augmentation of Functional Magnetic Resonance Images for Machine Learning Using Anatomically Constrained Warping

Brain connectivity, 2023-03, Vol.13 (2), p.80-88

2023

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Medical Computer Vision: Algorithms for Big Data : International Workshop, MCV 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers

1st ed. 2016, 2016

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Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers

1, 2017

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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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Age regression from faces using random forests

2009 16th IEEE International Conference on Image Processing (ICIP), 2009, Vol.2009, p.2465-2468

2009

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Whole Brain Segmentation: Automated Labeling of Neuroanatomical Structures in the Human Brain

Neuron (Cambridge, Mass.), 2002-01, Vol.33 (3), p.341-355

2002

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Medical Computer Vision: Algorithms for Big Data : International Workshop, MCV 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers

2014

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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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Prediction of Individual Progression Rate in Parkinson's Disease Using Clinical Measures and Biomechanical Measures of Gait and Postural Stability

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, Vol.2020, p.1319-1323

2020

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Entangled Decision Forests and Their Application for Semantic Segmentation of CT Images

Information Processing in Medical Imaging, 2011, p.184-196

2011

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Medical Computer Vision: Recognition Techniques and Applications in Medical Imaging : Second International MICCAI Workshop, MCV 2012, Nice, France, October 5, 2012, Revised Selected Papers

2013, 2013

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Tagged magnetic resonance imaging of the heart: a survey

Medical image analysis, 2005-08, Vol.9 (4), p.376-393

2005

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Local Structure Prediction with Convolutional Neural Networks for Multimodal Brain Tumor Segmentation

Medical Computer Vision: Algorithms for Big Data, 2016, p.59-71

2016

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

Targeted Metabolomic Analysis in Alzheimer's Disease Plasma and Brain Tissue in Non-Hispanic Whites

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

Novel machine learning approaches for improving the reproducibility and reliability of functional and effective connectivity from functional MRI

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

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

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

Longitudinal prognosis of Parkinson’s outcomes using causal connectivity

Pitfalls and Recommended Strategies and Metrics for Suppressing Motion Artifacts in Functional MRI

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

BLENDS: Augmentation of Functional Magnetic Resonance Images for Machine Learning Using Anatomically Constrained Warping

Medical Computer Vision: Algorithms for Big Data : International Workshop, MCV 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers

Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers

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

Age regression from faces using random forests

Whole Brain Segmentation: Automated Labeling of Neuroanatomical Structures in the Human Brain

Medical Computer Vision: Algorithms for Big Data : International Workshop, MCV 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers

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

Prediction of Individual Progression Rate in Parkinson's Disease Using Clinical Measures and Biomechanical Measures of Gait and Postural Stability

Entangled Decision Forests and Their Application for Semantic Segmentation of CT Images

Medical Computer Vision: Recognition Techniques and Applications in Medical Imaging : Second International MICCAI Workshop, MCV 2012, Nice, France, October 5, 2012, Revised Selected Papers

Tagged magnetic resonance imaging of the heart: a survey

Local Structure Prediction with Convolutional Neural Networks for Multimodal Brain Tumor Segmentation

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

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