Dominik Klepl

Network neuroscience, graph theory, machine learning
PhD Student at Coventry University

[Dominik Klepl @DominikKlepl]

Our recent survey paper on #GNN models for #EEG classification is out on IEEE TNSRE! 🧠🤖

[IEEE Engineering Medicine and Biology Society @IEEEembs]

🧠 Exploring the brain's mysteries! A newly published survey provides a detailed review of different GNN models used in recent EEG-based research.

Find it in the latest edition of IEEE TNSRE at https://t.co/3fUTHOtAVy.

#neuroscience #humanbrain #brainscience #neurological

[Fei He @FeiHeUK]

New preprint: our survey paper on GNN-based EEG classification is out. Another excellent piece of work from @DominikKlepl.
@CovUni_CSM
https://t.co/7Wn4r7SyL1

[Fei He @FeiHeUK]

Our new paper is out with OA: Cross-Frequency Multilayer Network Analysis with Bispectrum-based Functional Connectivity: A Study of Alzheimer’s Disease. Credit to @DominikKlepl
#Alzheimers #EEG #network @CovUni_CSM
https://t.co/LsxAnjlBCR

[Fei He @FeiHeUK]

Interested in nonlinear dynamical system, brain network, EEG and dementia? - I have a fully-funded PhD open for Jan 2024. Send me your CV first please. (the candidate will work alongside a PDRA on my recent EPSRC grant) @CovUni_CSM @CovUniResearch
https://t.co/dtmrs3piJf

[Computational Science & Mathematical Modelling CSM @CovUni_CSM]

Just wrapped up our first-ever PGR conference where students presented their research! A huge thank you to all our members for their contributions & making it an engaging event. The day was a resounding success, & we're already looking forward to the next one!

[Computational Science & Mathematical Modelling CSM @CovUni_CSM]

Applications are now open to join our fully-funded PhD Studentship on "Deep Learning on Neurophysiological Signals for Characterising Neurodegenerative Diseases"

Start Date: September 2023

Click here to Apply ➡️https://t.co/fMwvSn0yj7

[Coventry University Research and Innovation @CovUniResearch]

September is #WorldAlzheimersMonth & we'd like to congratulate our researchers @FeiHeUK & @DominikKlepl on their inspiring energy landscape concept which has uncovered a new approach to improve future diagnosis of Alzheimer’s Disease. 👏 @covcampus

[Computational Science & Mathematical Modelling CSM @CovUni_CSM]

CSM Researchers have share their findings on #Alzheimers.

@FeiHeUK & @DominikKlepl attended the 44th @IEEEembs Conference at Glasgow in July.

Dominik presented his paper “Bispectrum-based Cross-frequency Functional Connectivity: Classification of #AlzheimerDisease”

[Fei He @FeiHeUK]

Our paper on EEG-based GNN for AD classification is out in IEEE TNSRE @TNSRE1 - it shows the powerfulness of GNN; we evaluated different functional connectivity measures & compared with ML/DL baseline models. @DominikKlepl
https://t.co/YD5LEbpBd1
#EEG #GNN #Alzheimer

[Dominik Klepl @DominikKlepl]

@ahmedramly Thank you. Sorry but the code is not available at the moment

[Dominik Klepl @DominikKlepl]

What functional connectivity measure should you use for constructing brain networks when training Graph Neural Networks? We address this question in our new preprint. https://t.co/5MjMqru9Kx #EEG #neuroscience #NeuralNetworks

[Dominik Klepl @DominikKlepl]

Our new paper about energy landscapes of Alzheimer's disease patients reconstructed from EEG got selected for the cover of the current issue of IEEE Journal of Biomedical and Health Informatics. https://t.co/TLSHds9zlo @FeiHeUK

[Fei He @FeiHeUK]

Our EEG Energy Landscape & AD paper is now published at IEEE JBHI, @DominikKlepl
https://t.co/zOxjNCrf9Y

Latest version of preprint: https://t.co/KQxrLcvs2F

code: https://t.co/JxAZ1tK9kW

[Dominik Klepl @DominikKlepl]

We have a new preprint out looking at cross-frequency interactions (measured with bispectrum) in Alzheimer's disease from network perspective

[Fei He @FeiHeUK]

New preprint @DominikKlepl https://t.co/PAp6NXWVe5
We use cross-bispectrum as a nonlinear FC to construct a multilayer cross-frequency network. With graph-theoretic analysis, it provides a powerful framework to represent/analyse CFC brain network. #Alzheimers #EEG #network

[Fernando Rosas @_fernando_rosas]

“The specialist knows more and more about less and less and finally knows everything about nothing” (Konrad Lorenz)

Then the multidisciplinary knows less and less about more and more and finally knows nothing about everything?

[Santa Fe Institute @sfiscience]

In a new @NatureComms paper incoming SFI Fellow @YuanzhaoZhang & former SFI External Prof @stevenstrogatz show that allowing connection #patterns to change over #time makes it possible to #synchronize a #system more efficiently:
https://t.co/shiNMCInFs
#synchrony #synchronization

[Micah G. Allen @micahgallen]

Massively important paper both reassures fMRI as a tool to study (slow) brain networks, and finds that the (metabolic) body anticipates the brain's needs. https://t.co/oh3GXKgDQU

[Gael Varoquaux 🦋 @GaelVaroquaux]

New preprint ✨: with @DrVeronikaCH "How I failed machine learning in medical imaging - shortcomings and recommendations"
https://t.co/pM13YLxSVI

We inspect what are the current roadblocks to the clinical impacts of machine learning research.
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[Matt Blackwell @matt_blackwell]

Giving you a glimpse into the future of stats typesetting:

🎩
β = (X’X)⁻¹X’y

[@IAmSciComm - On a Break! @iamscicomm]

So proud of how far BioRender has come thanks to our incredible team. We launched 3 years ago w/ just a handful of icons and today we save scientists >1 million hrs every month (time otherwise spent in PPT) 🙏🏽

I hope this helps you in your next project! 💙https://t.co/apVHwhGUAU