fMRI volume classification using a 3D convolutional neural network robust to shifted and scaled neuronal activations
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Title
fMRI volume classification using a 3D convolutional neural network robust to shifted and scaled neuronal activations
Authors
Keywords
Classification, Convolutional neural networks, Deep neural networks, Functional MRI, Human Connectome Project, Machine learning, Real-time fMRI, Sensorimotor tasks
Journal
NEUROIMAGE
Volume 223, Issue -, Pages 117328
Publisher
Elsevier BV
Online
2020-09-06
DOI
10.1016/j.neuroimage.2020.117328
References
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- (2019) Hyun-Chul Kim et al. NEUROIMAGE
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- (2018) Alexander J.E. Kell et al. NEURON
- Deep Learning Methods to Process fMRI Data and Their Application in the Diagnosis of Cognitive Impairment: A Brief Overview and Our Opinion
- (2018) Dong Wen et al. Frontiers in Neuroinformatics
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- (2018) Elvis Dohmatob et al. Frontiers in Neuroscience
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- (2018) Hyun-Chul Kim et al. NEUROIMAGE
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- (2017) Vince D. Calhoun et al. HUMAN BRAIN MAPPING
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- (2017) Yu Zhao et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
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- (2017) Yu Zhao et al. MEDICAL IMAGE ANALYSIS
- Early brain development in infants at high risk for autism spectrum disorder
- (2017) Heather Cody Hazlett et al. NATURE
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- (2017) Hongming Li et al. NEUROIMAGE
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- (2017) Hojin Jang et al. NEUROIMAGE
- Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker
- (2017) James H. Cole et al. NEUROIMAGE
- Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines
- (2017) Gaël Varoquaux et al. NEUROIMAGE
- BrainNetCNN: Convolutional neural networks for brain networks; towards predicting neurodevelopment
- (2017) Jeremy Kawahara et al. NEUROIMAGE
- Salience network dynamics underlying successful resistance of temptation
- (2017) Rosa Steimke et al. Social Cognitive and Affective Neuroscience
- Real-time functional magnetic resonance imaging neurofeedback in motor neurorehabilitation
- (2016) David E.J. Linden et al. CURRENT OPINION IN NEUROLOGY
- A multi-modal parcellation of human cerebral cortex
- (2016) Matthew F. Glasser et al. NATURE
- Closed-loop brain training: the science of neurofeedback
- (2016) Ranganatha Sitaram et al. NATURE REVIEWS NEUROSCIENCE
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- (2016) Jens Kleesiek et al. NEUROIMAGE
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- (2016) Junghoe Kim et al. NEUROIMAGE
- Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates
- (2016) Anders Eklund et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Task-free MRI predicts individual differences in brain activity during task performance
- (2016) I. Tavor et al. SCIENCE
- Decoding the Nature of Emotion in the Brain
- (2016) Philip A. Kragel et al. TRENDS IN COGNITIVE SCIENCES
- Investigating Default Mode and Sensorimotor Network Connectivity in Amyotrophic Lateral Sclerosis
- (2016) Sneha Chenji et al. PLoS One
- Functional topography of the thalamocortical system in human
- (2015) Rui Yuan et al. Brain Structure & Function
- The Inclusion of Functional Connectivity Information into fMRI-based Neurofeedback Improves Its Efficacy in the Reduction of Cigarette Cravings
- (2015) Dong-Youl Kim et al. JOURNAL OF COGNITIVE NEUROSCIENCE
- Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream
- (2015) U. Guclu et al. JOURNAL OF NEUROSCIENCE
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Generation and Evaluation of a Cortical Area Parcellation from Resting-State Correlations
- (2014) Evan M. Gordon et al. CEREBRAL CORTEX
- Real-time functional MRI neurofeedback
- (2014) Sunjung Kim et al. CURRENT OPINION IN PSYCHIATRY
- Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis
- (2014) Heung-Il Suk et al. NEUROIMAGE
- Performance-optimized hierarchical models predict neural responses in higher visual cortex
- (2014) D. L. K. Yamins et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation
- (2014) Seyed-Mahdi Khaligh-Razavi et al. PLoS Computational Biology
- Deep learning for neuroimaging: a validation study
- (2014) Sergey M. Plis et al. Frontiers in Neuroscience
- Optimizing real time fMRI neurofeedback for therapeutic discovery and development
- (2014) L.E. Stoeckel et al. NeuroImage-Clinical
- Real-time fMRI brain computer interfaces: Self-regulation of single brain regions to networks
- (2013) Sergio Ruiz et al. BIOLOGICAL PSYCHOLOGY
- The WU-Minn Human Connectome Project: An overview
- (2013) David C. Van Essen et al. NEUROIMAGE
- Real-time fMRI neurofeedback: Progress and challenges
- (2013) J. Sulzer et al. NEUROIMAGE
- Function in the human connectome: Task-fMRI and individual differences in behavior
- (2013) Deanna M. Barch et al. NEUROIMAGE
- Groupwise whole-brain parcellation from resting-state fMRI data for network node identification
- (2013) X. Shen et al. NEUROIMAGE
- The minimal preprocessing pipelines for the Human Connectome Project
- (2013) Matthew F. Glasser et al. NEUROIMAGE
- Dorsal and Ventral Attention Systems
- (2013) Simone Vossel et al. NEUROSCIENTIST
- Fronto-parietal network: flexible hub of cognitive control
- (2013) Theodore P. Zanto et al. TRENDS IN COGNITIVE SCIENCES
- The Human Connectome Project: A data acquisition perspective
- (2012) D.C. Van Essen et al. NEUROIMAGE
- Real-time fMRI-based neurofeedback reinforces causality of attention networks
- (2012) Jong-Hwan Lee et al. NEUROSCIENCE RESEARCH
- Sensorimotor Functional Connectivity Changes in Amyotrophic Lateral Sclerosis
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- Decoding Subject-Driven Cognitive States with Whole-Brain Connectivity Patterns
- (2011) W. R. Shirer et al. CEREBRAL CORTEX
- A whole brain fMRI atlas generated via spatially constrained spectral clustering
- (2011) R. Cameron Craddock et al. HUMAN BRAIN MAPPING
- The organization of the human cerebral cortex estimated by intrinsic functional connectivity
- (2011) B. T. Thomas Yeo et al. JOURNAL OF NEUROPHYSIOLOGY
- The serendipitous discovery of the brain's default network
- (2011) Randy L. Buckner NEUROIMAGE
- Real-time fMRI and its application to neurofeedback
- (2011) Nikolaus Weiskopf NEUROIMAGE
- Functional Network Organization of the Human Brain
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- Large-scale brain networks in cognition: emerging methods and principles
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- Automated classification of fMRI data employing trial-based imagery tasks
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- Brain–machine interface via real-time fMRI: Preliminary study on thought-controlled robotic arm
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- (2007) Michal Mikl et al. MAGNETIC RESONANCE IMAGING
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