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D Calhoun

Showing results (361-370 of 1,451) with videos related to

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Biorxiv : the Preprint Server for Biology|October 28, 2024
Privacy-Preserving Visualization of Brain Functional ConnectivityYe Tao, Anand D Sarwate, Sandeep Panta, et al.
Network Neuroscience (Cambridge, Mass.)|November 24, 2025
A prior-knowledge-guided feature selection method and its application to biomarker identification of schizophreniaYing Xing, Godfrey D Pearlson, Peter Kochunov, et al.
Biorxiv : the Preprint Server for Biology|February 26, 2024
Identifying Reproducibly Important EEG Markers of Schizophrenia with an Explainable Multi-Model Deep Learning ApproachMartina Lapera Sancho, Charles A Ellis, Robyn L Miller, et al.
Social Neuroscience|May 19, 2011
Neural basis of moral verdict and moral deliberationJana Schaich Borg, Walter Sinnott-Armstrong, Vince D Calhoun, et al.
Human Brain Mapping|September 27, 2007
Temporal lobe and "default" hemodynamic brain modes discriminate between schizophrenia and bipolar disorderVince D Calhoun, Paul K Maciejewski, Godfrey D Pearlson, et al.
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging|August 11, 2018
Functional Neuroimaging Evidence for Distinct Neurobiological Pathways in Attention-Deficit/Hyperactivity DisorderMichael C Stevens, Godfrey D Pearlson, Vince D Calhoun, et al.
Biological Psychiatry|March 31, 2004
Aberrant localization of synchronous hemodynamic activity in auditory cortex reliably characterizes schizophreniaVince D Calhoun, Kent A Kiehl, Peter F Liddle, et al.
IEEE Transactions on Bio-Medical Engineering|March 16, 2019
Deep Collaborative Learning With Application to the Study of Multimodal Brain DevelopmentWenxing Hu, Biao Cai, Aiying Zhang, et al.
Neuroimage|April 28, 2004
fMRI analysis with the general linear model: removal of latency-induced amplitude bias by incorporation of hemodynamic derivative termsV D Calhoun, M C Stevens, G D Pearlson, et al.
Arxiv|September 10, 2024
Integrated Brain Connectivity Analysis with fMRI, DTI, and sMRI Powered by Interpretable Graph Neural NetworksGang Qu, Ziyu Zhou, Vince D Calhoun, et al.
Pageof 146

Showing results (361-370 of 1,451) with videos related to

Sort By:
Pageof 146
Biorxiv : the Preprint Server for Biology|October 28, 2024
Privacy-Preserving Visualization of Brain Functional ConnectivityYe Tao, Anand D Sarwate, Sandeep Panta, et al.
Network Neuroscience (Cambridge, Mass.)|November 24, 2025
A prior-knowledge-guided feature selection method and its application to biomarker identification of schizophreniaYing Xing, Godfrey D Pearlson, Peter Kochunov, et al.
Biorxiv : the Preprint Server for Biology|February 26, 2024
Identifying Reproducibly Important EEG Markers of Schizophrenia with an Explainable Multi-Model Deep Learning ApproachMartina Lapera Sancho, Charles A Ellis, Robyn L Miller, et al.
Social Neuroscience|May 19, 2011
Neural basis of moral verdict and moral deliberationJana Schaich Borg, Walter Sinnott-Armstrong, Vince D Calhoun, et al.
Human Brain Mapping|September 27, 2007
Temporal lobe and "default" hemodynamic brain modes discriminate between schizophrenia and bipolar disorderVince D Calhoun, Paul K Maciejewski, Godfrey D Pearlson, et al.
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging|August 11, 2018
Functional Neuroimaging Evidence for Distinct Neurobiological Pathways in Attention-Deficit/Hyperactivity DisorderMichael C Stevens, Godfrey D Pearlson, Vince D Calhoun, et al.
Biological Psychiatry|March 31, 2004
Aberrant localization of synchronous hemodynamic activity in auditory cortex reliably characterizes schizophreniaVince D Calhoun, Kent A Kiehl, Peter F Liddle, et al.
IEEE Transactions on Bio-Medical Engineering|March 16, 2019
Deep Collaborative Learning With Application to the Study of Multimodal Brain DevelopmentWenxing Hu, Biao Cai, Aiying Zhang, et al.
Neuroimage|April 28, 2004
fMRI analysis with the general linear model: removal of latency-induced amplitude bias by incorporation of hemodynamic derivative termsV D Calhoun, M C Stevens, G D Pearlson, et al.
Arxiv|September 10, 2024
Integrated Brain Connectivity Analysis with fMRI, DTI, and sMRI Powered by Interpretable Graph Neural NetworksGang Qu, Ziyu Zhou, Vince D Calhoun, et al.
Pageof 146