Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Rajkumar Saini

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
Neurosci|November 1, 2024
Rethinking the Methods and Algorithms for Inner Speech Decoding and Making Them ReproducibleFoteini Simistira Liwicki, Vibha Gupta, Rajkumar Saini, et al.
Sensors (Basel, Switzerland)|October 31, 2019
Fusion of Neuro-Signals and Dynamic Signatures for Person AuthenticationPradeep Kumar, Rajkumar Saini, Barjinder Kaur, et al.
Frontiers in Human Neuroscience|June 15, 2026
The current status of foundation models in decoding inner speech from non-invasive brain signals: a mini reviewEsra Sümer-Arpak, Rajkumar Saini, Debashis Das Chakladar, et al.
Data in Brief|December 9, 2025
Simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) data during an inner speech taskFoteini Simistira Liwicki, Rajkumar Saini, Debashis Das Chakladar, et al.
European Heart Journal. Digital Health|February 2, 2026
Multimodal deep learning for acute myocardial infarction detection from 12-lead electrocardiogram: a multi-centre study with cross-hospital validationVibha Gupta, Lukas Hilgendorf, Erik Andersson, et al.
Scientific Data|June 13, 2023
Bimodal electroencephalography-functional magnetic resonance imaging dataset for inner-speech recognitionFoteini Simistira Liwicki, Vibha Gupta, Rajkumar Saini, et al.
Scientific Data|July 2, 2024
SignEEG v1.0: Multimodal Dataset with Electroencephalography and Hand-written Signature for Biometric SystemsAshish Ranjan Mishra, Rakesh Kumar, Vibha Gupta, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Improving inner speech decoding by hybridisation of bimodal EEG and fMRI dataScott Wellington, Holly Wilson, Foteini Simistira Liwicki, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Neurosci|November 1, 2024
Rethinking the Methods and Algorithms for Inner Speech Decoding and Making Them ReproducibleFoteini Simistira Liwicki, Vibha Gupta, Rajkumar Saini, et al.
Sensors (Basel, Switzerland)|October 31, 2019
Fusion of Neuro-Signals and Dynamic Signatures for Person AuthenticationPradeep Kumar, Rajkumar Saini, Barjinder Kaur, et al.
Frontiers in Human Neuroscience|June 15, 2026
The current status of foundation models in decoding inner speech from non-invasive brain signals: a mini reviewEsra Sümer-Arpak, Rajkumar Saini, Debashis Das Chakladar, et al.
Data in Brief|December 9, 2025
Simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) data during an inner speech taskFoteini Simistira Liwicki, Rajkumar Saini, Debashis Das Chakladar, et al.
European Heart Journal. Digital Health|February 2, 2026
Multimodal deep learning for acute myocardial infarction detection from 12-lead electrocardiogram: a multi-centre study with cross-hospital validationVibha Gupta, Lukas Hilgendorf, Erik Andersson, et al.
Scientific Data|June 13, 2023
Bimodal electroencephalography-functional magnetic resonance imaging dataset for inner-speech recognitionFoteini Simistira Liwicki, Vibha Gupta, Rajkumar Saini, et al.
Scientific Data|July 2, 2024
SignEEG v1.0: Multimodal Dataset with Electroencephalography and Hand-written Signature for Biometric SystemsAshish Ranjan Mishra, Rakesh Kumar, Vibha Gupta, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Improving inner speech decoding by hybridisation of bimodal EEG and fMRI dataScott Wellington, Holly Wilson, Foteini Simistira Liwicki, et al.
Pageof 1