Levin Kuhlmann

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Mark CookUniversity of MelbourneVerified email at unimelb.edu.au
David GraydenDept. of Biomedical Engineering, University of MelbourneVerified email at unimelb.edu.au
Dean FreestoneSeer MedicalVerified email at seermedical.com
Anthony N. BurkittUniversity of MelbourneVerified email at unimelb.edu.au
David LileyThe University of MelbourneVerified email at unimelb.edu.au
Dragan NesicProfessor, Department of Electrical and Electronic Engineering, University of MelbourneVerified email at unimelb.edu.au
Iven MareelsFederation University AustraliaVerified email at federation.edu.au
Michelle ChongAssistant Professor at Eindhoven University of TechnologyVerified email at tue.nl
Romain PostoyanCNRS, CRAN UMR 7039, Université de LorraineVerified email at univ-lorraine.fr
Simon VogrinSt Vincents Hospital MelbourneVerified email at svha.org.au
Wendyl D'SouzaDepartment of Medicine, St Vincent's Hospital, The University of MelbourneVerified email at unimelb.edu.au
Alan LaiBionics InstituteVerified email at bionicsinstitute.org
Ennio MingollaNortheastern University, Department of Communication Sciences and DisordersVerified email at neu.edu
Stephen GrossbergWang Professor of Cognitive and Neural Systems, Boston UniversityVerified email at bu.edu
Jonathan MantonFuture Generation Professor, University of MelbourneVerified email at unimelb.edu.au
Elma O'Sullivan-GreeneResearch Fellow, Department of Electrical & Electronic Engineering, The University of MelbourneVerified email at unimelb.edu.au
J SleighProfessor of Anaesthesiology, University of AucklandVerified email at waikatodhb.health.nz
Tarmo LippingTampere University of TechnologyVerified email at tuni.fi
Antonio G PaoliniProfessor of Psychology, RMIT UniversityVerified email at rmit.edu.au
Trichur VidyasagarProfessor, Dept of Optom & Vision Sci., Univ of Melbourne and Florey Institute of NeuroscienceVerified email at unimelb.edu.au

Levin Kuhlmann

Senior Lecturer in Data Science and Digital Health, Faculty of Information Technology, Monash

Verified email at monash.edu - Homepage

Data Science Digital Health Neuro-engineering Epilepsy Anaesthesia and Consciousness


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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	328	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	259	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	156	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	128	2018
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	110	2020
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), 2172, 2020	97	2020
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	79	2010
A taxonomy of seizure dynamotypes ML Saggio, D Crisp, JM Scott, P Karoly, L Kuhlmann, M Nakatani, T Murai, ... Elife 9, e55632, 2020	67	2020
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	66	2017
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, 1-9, 2015	64	2015
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, 2129-2145, 2009	63	2009
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	62	2017
Forecasting cycles of seizure likelihood PJ Karoly, MJ Cook, M Maturana, ES Nurse, D Payne, BH Brinkmann, ... Epilepsia 61 (4), 776-786, 2020	55	2020
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	54	2007
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	53	2011
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	51	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	47	2012
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	46	2018
Epileptic seizure forecasting with generative adversarial networks ND Truong, L Kuhlmann, MR Bonyadi, D Querlioz, L Zhou, O Kavehei IEEE Access 7, 143999-144009, 2019	45	2019
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	42	2014

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