Dehua Liang

140

105

2020202120222023202420254 63 98 124 132 21

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Uri MaozAssociate Professor of Computational Neuroscience, Chapman UniversityEmail verificata su chapman.edu
Elnaz Lashgari, Ph.D.Applied ML ScientistEmail verificata su abbott.com
Vincent BerardiChapman UniversityEmail verificata su chapman.edu
Erik LinsteadProfessor, Fowler School of Engineering, Chapman UniversityEmail verificata su chapman.edu
David A FrederickChapman UniversityEmail verificata su chapman.edu
Elia Eiroa-LledoAssistant Professor, Fowler School of Engineering, Chapman UniversityEmail verificata su mail.chapman.edu

Dehua Liang

The Brain Institute, Chapman University

Email verificata su mail.chapman.edu - Home page


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Data augmentation for deep-learning-based electroencephalography E Lashgari, D Liang, U Maoz Journal of Neuroscience Methods 346, 108885, 2020	359	2020
Examining the utility of nonlinear machine learning approaches versus linear regression for predicting body image outcomes: The US Body Project I D Liang, DA Frederick, EE Lledo, N Rosenfield, V Berardi, E Linstead, ... Body Image 41, 32-45, 2022	49	2022
A NWB-based dataset and processing pipeline of human single-neuron activity during a declarative memory task N Chandravadia, D Liang, AGP Schjetnan, A Carlson, M Faraut, ... Scientific Data 7 (1), 78, 2020	19	2020
COVID-Dynamic: A large-scale longitudinal study of socioemotional and behavioral change across the pandemic T Rusch, Y Han, D Liang, AR Hopkins, CV Lawrence, U Maoz, LK Paul, ... Scientific data 10 (1), 71, 2023	9	2023
COVID-Dynamic: A large-scale multifaceted longitudinal study of socioemotional and behavioral change across the pandemic T Rusch, Y Han, D Liang, AR Hopkins, C Lawrence, U Maoz, LK Paul, ... PsyArXiv, 2021	8	2021
Causal Inference in Psychology and Neuroscience: From Association to Causation D Liang Chapman University, 2022		2022

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