Dominik Klepl

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

New preprint: our survey paper on GNN-based EEG classification is out. Another excellent piece of work from @DominikKlepl. @CovUni_CSM arxiv.org/abs/2310.02152

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 sciencedirect.com/science/articl…

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 findaphd.com/phds/project/n…

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!

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 ➡️coventry.ac.uk/research/resea…

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

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”

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 ieeexplore.ieee.org/document/98783… #EEG #GNN #Alzheimer

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

@DominikKlepl Very interesting work, is the code publicly available ?

What functional connectivity measure should you use for constructing brain networks when training Graph Neural Networks? We address this question in our new preprint. biorxiv.org/content/10.110… #EEG #neuroscience #NeuralNetworks

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. ieeexplore.ieee.org/document/95169… @FeiHeUK

Our EEG Energy Landscape & AD paper is now published at IEEE JBHI, @DominikKlepl ieeexplore.ieee.org/document/95169… Latest version of preprint: arxiv.org/abs/2102.09882 code: github.com/dominikklepl/A…

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

“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?

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: santafe.edu/news-center/ne… #synchrony #synchronization

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. nature.com/articles/s4158…

New preprint ✨: with @DrVeronikaCH "How I failed machine learning in medical imaging - shortcomings and recommendations" arxiv.org/abs/2103.10292 We inspect what are the current roadblocks to the clinical impacts of machine learning research. ⬇️ 1/6

Giving you a glimpse into the future of stats typesetting: 🎩 β = (X’X)⁻¹X’y

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! 💙biorender.com