Levin Kuhlmann
Levin Kuhlmann
Senior Lecturer in Data Science and Digital Health, Faculty of Information Technology, Monash
Verified email at monash.edu - Homepage
Cited by
Cited by
Convolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram
ND Truong, AD Nguyen, L Kuhlmann, MR Bonyadi, J Yang, S Ippolito, ...
Neural Networks 105, 104-111, 2018
Seizure prediction—ready for a new era
L Kuhlmann, K Lehnertz, MP Richardson, B Schelter, HP Zaveri
Nature Reviews Neurology 14 (10), 618-630, 2018
The circadian profile of epilepsy improves seizure forecasting
PJ Karoly, H Ung, DB Grayden, L Kuhlmann, K Leyde, MJ Cook, ...
Brain 140 (8), 2169-2182, 2017
Epilepsyecosystem. org: crowd-sourcing reproducible seizure prediction with long-term human intracranial EEG
L Kuhlmann, P Karoly, DR Freestone, BH Brinkmann, A Temko, ...
Brain 141 (9), 2619-2630, 2018
Patient-specific bivariate-synchrony-based seizure prediction for short prediction horizons
L Kuhlmann, D Freestone, A Lai, AN Burkitt, K Fuller, DB Grayden, ...
Epilepsy research 91 (2-3), 214-231, 2010
Seizure detection using seizure probability estimation: Comparison of features used to detect seizures
L Kuhlmann, AN Burkitt, MJ Cook, K Fuller, DB Grayden, L Seiderer, ...
Annals of biomedical engineering 37 (10), 2129-2145, 2009
Seizure prediction: science fiction or soon to become reality?
DR Freestone, PJ Karoly, ADH Peterson, L Kuhlmann, A Lai, F Goodarzy, ...
Current neurology and neuroscience reports 15 (11), 1-9, 2015
Electrical probing of cortical excitability in patients with epilepsy
DR Freestone, L Kuhlmann, DB Grayden, AN Burkitt, A Lai, TS Nelson, ...
Epilepsy & Behavior 22, S110-S118, 2011
A neural model of 3D shape-from-texture: Multiple-scale filtering, boundary grouping, and surface filling-in
S Grossberg, L Kuhlmann, E Mingolla
Vision research 47 (5), 634-672, 2007
A generalised seizure prediction with convolutional neural networks for intracranial and scalp electroencephalogram data analysis
ND Truong, AD Nguyen, L Kuhlmann, MR Bonyadi, J Yang, O Kavehei
arXiv preprint arXiv:1707.01976, 2017
Parameter and state estimation of nonlinear systems using a multi-observer under the supervisory framework
MS Chong, D Nešić, R Postoyan, L Kuhlmann
IEEE Transactions on Automatic Control 60 (9), 2336-2349, 2015
A robust circle criterion observer with application to neural mass models
M Chong, R Postoyan, D Nešić, L Kuhlmann, A Varsavsky
Automatica 48 (11), 2986-2989, 2012
Supervised learning in automatic channel selection for epileptic seizure detection
ND Truong, L Kuhlmann, MR Bonyadi, J Yang, A Faulks, O Kavehei
Expert Systems with Applications 86, 199-207, 2017
Critical slowing down as a biomarker for seizure susceptibility
MI Maturana, C Meisel, K Dell, PJ Karoly, W D’Souza, DB Grayden, ...
Nature communications 11 (1), 1-12, 2020
Machine learning for predicting epileptic seizures using EEG signals: A review
K Rasheed, A Qayyum, J Qadir, S Sivathamboo, P Kwan, L Kuhlmann, ...
IEEE Reviews in Biomedical Engineering 14, 139-155, 2020
Alterations in the functional connectivity of frontal lobe networks preceding emergence delirium in children
JC Martin, DTJ Liley, AS Harvey, L Kuhlmann, JW Sleigh, AJ Davidson
Anesthesiology 121 (4), 740-752, 2014
Forecasting cycles of seizure likelihood
PJ Karoly, MJ Cook, M Maturana, ES Nurse, D Payne, BH Brinkmann, ...
Epilepsia 61 (4), 776-786, 2020
Integer convolutional neural network for seizure detection
ND Truong, AD Nguyen, L Kuhlmann, MR Bonyadi, J Yang, S Ippolito, ...
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 (4 …, 2018
The role of multiple-scale modelling of epilepsy in seizure forecasting
L Kuhlmann, DB Grayden, F Wendling, SJ Schiff
Journal of clinical neurophysiology: official publication of the American …, 2015
Modulation of functional EEG networks by the NMDA antagonist nitrous oxide
L Kuhlmann, BL Foster, DTJ Liley
PloS one 8 (2), e56434, 2013
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