On the public citation graph
Visual Imagery Reconstruction Using Deep Learning and Eeg Signals
0 signed · 19 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-031-18458-1_29openalex-extracted
Decoding Visual Imagery Using EEG/EOG Glasses: A Pilot Study
inferredcites →https://doi.org/10.1007/s00521-022-07542-5openalex-extracted
Black hole algorithm with convolutional neural networks for the creation of brain-computer interface based in visual perception and visual imagery
inferredcites →https://doi.org/10.1016/j.eswa.2022.117417openalex-extracted
A deep learning approach for decoding visually imagined digits and letters using time–frequency–spatial representation of EEG signals
inferredcites →https://doi.org/10.1016/j.neuroimage.2020.117021openalex-extracted
Machine-learning-based diagnostics of EEG pathology
inferredcites →https://doi.org/10.1023/a:1024685214655openalex-extracted
EEG-Based Communication and Control: Speed–Accuracy Relationships
inferredcites →https://doi.org/10.1088/1741-2552/aaf12eopenalex-extracted
A comprehensive review of EEG-based brain–computer interface paradigms
inferredcites →https://doi.org/10.1109/embc.2012.6346871openalex-extracted
EEG-based Brain-Computer Interface to support post-stroke motor rehabilitation of the upper limb
inferredcites →https://doi.org/10.1109/tip.2003.819861openalex-extracted
Image quality assessment: from error visibility to structural similarity
inferredcites →https://doi.org/10.1162/pres.19.1.35openalex-extracted
OpenViBE: An Open-Source Software Platform to Design, Test, and Use Brain–Computer Interfaces in Real and Virtual Environments
inferredcites →https://doi.org/10.1186/s12868-017-0349-0openalex-extracted
Experience-dependent modulation of alpha and beta during action observation and motor imagery
inferredcites →https://doi.org/10.1371/journal.pone.0274847openalex-extracted
Improving classification and reconstruction of imagined images from EEG signals
inferredcites →https://doi.org/10.1523/eneuro.0358-17.2018openalex-extracted
The Neural Dynamics of Facial Identity Processing: Insights from EEG-Based Pattern Analysis and Image Reconstruction
inferredcites →https://doi.org/10.3389/fnhum.2018.00014openalex-extracted
EEG-Based Brain–Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21st Century
inferredcites →https://doi.org/10.3389/fnins.2020.591435openalex-extracted
Brain Computer Interface Treatment for Motor Rehabilitation of Upper Extremity of Stroke Patients—A Feasibility Study
inferredcites →https://doi.org/10.3389/fnins.2021.795488openalex-extracted
Natural Image Reconstruction From fMRI Using Deep Learning: A Survey
inferredcites →https://doi.org/10.3390/brainsci11111525openalex-extracted
Neural Decoding of EEG Signals with Machine Learning: A Systematic Review
inferredcites →https://doi.org/10.3390/brainsci8040057openalex-extracted
Brain–Computer Interface Spellers: A Review
inferredcites →https://doi.org/10.5772/56135openalex-extracted
A Review of P300, SSVEP, and Hybrid P300/SSVEP Brain- Computer Interface Systems
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.