Stephan Lau

Stephan Lau

School of Computer and Mathematical Sciences

Faculty of Sciences, Engineering and Technology

Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.

  • Journals
    Year Citation
    2023 Bozek, J., Griffanti, L., Lau, S., & Jenkinson, M. (2023). Normative models for neuroimaging markers: Impact of model selection, sample size and evaluation criteria. NeuroImage, 268, 13 pages.
    DOI WoS1 Europe PMC2
    2023 Kenyon, G., Lau, S., Chappell, M. A., & Jenkinson, M. (2023). Segmentation method for cerebral blood vessels from MRA using hysteresis.
    2022 Bozek, J., Griffanti, L., Lau, S., & Jenkinson, M. (2022). Normative models for neuroimaging markers: Impact of model selection, sample size and evaluation criteria.
    DOI
    2022 Milton, A. G., Lau, S., Kremer, K. L., Rao, S. R., Mas, E., Snel, M. F., . . . Koblar, S. A. (2022). FAST-IT: F ind A S imple T est- I n T IA (transient ischaemic attack): a prospective cohort study to develop a multivariable prediction model for diagnosis of TIA through proteomic discovery and candidate lipid mass spectrometry, neuroimaging and machine learning - study protocol. BMJ Open, 12(4), 9 pages.
    DOI
    2022 Dölker, E. -M., Lau, S., Bernhard, M. A., & Haueisen, J. (2022). Perception thresholds and qualitative perceptions for electrocutaneous stimulation.. Scientific reports, 12(1), 12 pages.
    DOI Scopus2 WoS2
    2022 Dölker, E. -M., Lau, S., Bernhard, M. A., & Haueisen, J. (2022). Publisher Correction: Perception thresholds and qualitative perceptions for electrocutaneous stimulation.. Sci Rep, 12(1), 9965.
    DOI
    2022 Almaghrabi, S. A., Thewlis, D., Thwaites, S., Rogasch, N. C., Lau, S., Clark, S. R., & Baumert, M. (2022). The reproducibility of bio-acoustic features is associated with sample duration, speech task and gender. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30, 1-9.
    DOI Scopus4 WoS3
    2020 Naskovska, K., Lau, S., Korobkov, A. A., Haueisen, J., & Haardt, M. (2020). Coupled CP decomposition of simultaneous MEG-EEG signals for differentiating oscillators during photic driving. Frontiers in Neuroscience, 14, 261-1-261-18.
    DOI Scopus17 WoS8 Europe PMC1
    2020 Dölker, E. -M., Lau, S., Gröllich, D., Haase, E., Krzywinski, S., Schmauder, M., & Haueisen, J. (2020). Techniken zur Bestimmung von Parametern für die elektrische Personenwarnung. Arbeitsmedizin, Sozialmedizin, Umweltmedizin, 55(10), 645-652.
    DOI
    2017 Lau, S., Flemming, L., & Haueisen, J. (2017). Corrigendum: “Magnetoencephalography signals are influenced by skull defects” (Clin. Neurophysiol. 125 (2014) 1653–1662) (Clinical Neurophysiology, (S1388245713013564), (10.1016/j.clinph.2013.12.099)). Clinical Neurophysiology, 128(6), 1116.
    DOI Scopus1
    2016 Lau, S., Petković, B., & Haueisen, J. (2016). Optimal magnetic sensor vests for cardiac source imaging. Sensors (Switzerland), 16(6), 17 pages.
    DOI Scopus8 WoS8 Europe PMC2
    2016 Lau, S., Güllmar, D., Flemming, L., Grayden, D. B., Cook, M. J., Wolters, C. H., & Haueisen, J. (2016). Skull defects in finite element head models for source reconstruction from magnetoencephalography signals. Frontiers in Neuroscience, 10(1), 141-1-141-15.
    DOI Scopus16 WoS14 Europe PMC7
    2016 Lau, S., & Haueisen, J. (2016). Biosignal analysis. BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK, 61(6), 577-578.
    DOI Scopus1
    2015 Goernig, M., Hoeffling, B., Lau, S., Figulla, H. R., & Haueisen, J. (2015). T vector and loop characteristics improve detection of myocardial injury after infarction. Journal of Medical and Biological Engineering, 35(3), 381-386.
    DOI Scopus4 WoS3
    2014 Lau, S., Flemming, L., & Haueisen, J. (2014). Magnetoencephalography signals are influenced by skull defects. Clinical Neurophysiology, 125(8), 1653-1662.
    DOI Scopus14 WoS16 Europe PMC11
    2014 Lau, S., Flemming, L., & Haueisen, J. (2014). P506: MEG is influenced by skull defects. Clinical Neurophysiology, 125, S185-S186.
    DOI
    2014 Lau, S., Vogrin, S. J., D'Souza, W., Haueisen, J., & Cook, M. J. (2014). P888: Clustering of interictal events for improved fMRI specificity in high density EEG-fMRI studies. Clinical Neurophysiology, 125, S282.
    DOI
    2014 Liebl, M., Steinhoff, U., Wiekhorst, F., Baumgarten, D., & Gutkelch, D. (2014). Track j: magnetic methods in medicine.. Biomedizinische Technik. Biomedical engineering, 59 Suppl 1(Supplement), s649-s699.
    DOI
    2013 Lau, S., Guellmar, D., Flemming, L., & Haueisen, J. (2013). Influence of skull defects on MEG source reconstruction in an in-vivo animal experiment. Biomedical Engineering / Biomedizinische Technik, 58(Suppl.1), 1-2.
    DOI
    2012 Lau, S., Guellmar, D., Flemming, L., & Haueisen, J. (2012). Skull Defects in MEG and EEG: Experimental Results and Modelling. BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK, 57, 308.
    DOI
    2012 Lau, S., Petkovic, B., Di Rienzo, L., & Haueisen, J. (2012). Optimizing a magnetic sensor vest for cardiac source imaging. Biomedizinische Technik, 57(SI-1 Track-E), 1016.
    DOI
    2012 Lau, S., Güllmar, D., Flemming, L., & Haueisen, J. (2012). Skull Defects in MEG and EEG: Experimental Results and Modelling. Biomedizinische Technik, 57(SI-1 Track-M), 308.
    DOI
    2012 Sonntag, H., Haueisen, J., Lau, S., Eichardt, R., Wolters, C., Vorwerk, J., . . . Güllmar, D. (2012). Influence of finite element discretization on the EEG/MEG forward solution in rabbits. Biomedizinische Technik, 57(SI-1 Track-M), 309.
    DOI
    2011 Schneider, R., Lau, S., Kuhlmann, L., Vogrin, S., Gratkowski, M., Cook, M., & Haueisen, J. (2011). Matching pursuit based removal of cardiac pulse-related artifacts in EEG/fMRI. World Academy of Science, Engineering and Technology, 56, 1559-1564.
    Scopus1
    2009 Lau, S., Maktabi, M., Güllmar, D., & Haueisen, J. (2009). Sensitivity of EEG/MEG-based reconstruction of neural activity to the finite element model discretization. BMC Neuroscience, 10(S1).
    DOI
    2008 Lau, S., Eichardt, R., Di Rienzo, L., & Haueisen, J. (2008). Tabu search optimization of magnetic sensor systems for magnetocardiography. IEEE Transactions on Magnetics, 44(6), 1442-1445.
    DOI Scopus28 WoS21
    2008 Jaros, U., Hilgenfeld, B., Lau, S., Curio, G., & Haueisen, J. (2008). Nonlinear interactions of high-frequency oscillations in the human somatosensory system. Clinical Neurophysiology, 119(11), 2647-2657.
    DOI Scopus14 WoS11 Europe PMC9

  • Conference Papers
    Year Citation
    2023 McNamara, A., Ellul, B., Baetu, I. -I., Lau, S., Jenkinson, M., & Collins-Praino, L. (2023). Utility of Baseline Pathological, Neuroimaging and Clinical Markers for Progression Prognosis and Subtype Classification in Early Parkinson's Disease: Implications for Cognitive Impairment. In Accepted for publication in Alzheimer's & Dementia Journal in June 2024 (pp. 2 pages). Amsterdam, The Netherlands: Alzheimer's Association.
    2023 Abstracts of the 6th World Parkinson Congress, July 4–7, 2023, Barcelona, Spain (2023). In Journal of Parkinson's Disease Vol. 13 (pp. 1-414). IOS Press.
    DOI
    2023 ESOC 2023 Abstract Book (2023). In European Stroke Journal Vol. 8 (pp. 3-669). SAGE Publications.
    DOI
    2023 McNamara, A., Ellul, B., Baetu, I. -I., Lau, S., Jenkinson, M., & Collins-Praino, L. (2023). Predicting progression of Parkinson’s disease motor outcomes using a multimodal combination of baseline clinical measures, neuroimaging and biofluid markers. In Journal of Parkinson's Disease Vol. 13 (pp. 268-269). Barcelona, Spain: IOS Press.
    2023 Lau, S., Sharma, D., Rao, S., Snel, M., Milton, A., Edwards, S., . . . Hamilton-Bruce, A. (2023). Proteomics-based classification of transient ischaemic attacks, mimics and healthy controls using machine learning. In European Stroke Journal Vol. 8 (pp. 624-625). Munich, Germany.
    DOI
    2022 Snaauw, G., Sasdelli, M., Maicas, G., Lau, S., Verjans, J., Jenkinson, M., & Carneiro, G. (2022). Mutual Information Neural Estimation for Unsupervised Multi-Modal Registration of Brain Images.. In EMBC (pp. 3510-3513). IEEE.
    2022 Snaauw, G., Sasdelli, M., Maicas, G., Lau, S., Verjans, J., Jenkinson, M., & Carneiro, G. (2022). Mutual information neural estimation for unsupervised multi-modal registration of brain images. In 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Vol. 2022-July (pp. 3510-3513). Online: IEEE.
    DOI
    2022 Sharma, D., Rao, S., Snel, M., Lau, S., Edwards, S., Mahadevan, J., . . . Koblar, S. (2022). FAST-IT: Finding A Simple Test In TIA (Transient Ischaemic Attack): A pilot study at the Royal Adelaide Hospital. In INTERNATIONAL JOURNAL OF STROKE Vol. 17 (pp. 33-34). SAGE PUBLICATIONS LTD.
    2021 Milton, A. G., Lau, S., Edwards, S., Duvenage, H. A., Djukic, M., Snel, M., . . . Hamilton-Bruce, M. A. (2021). Searching for de novo Transient Ischemic Attack (TIA) biomarkers using new-generation mass spectrometry. In INTERNATIONAL JOURNAL OF STROKE Vol. 16 (pp. 22). SAGE PUBLICATIONS LTD.
    2018 Naskovska, K., Lau, S., Aboughazala, A., Haardt, M., & Haueisen, J. (2018). Joint MEG-EEG signal decomposition using the coupled SECSI framework: Validation on a controlled experiment. In 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017 Vol. 2017-December (pp. 1-5). Online: IEEE.
    DOI Scopus6
    2011 Vogrin, S. J., Lau, S., D'Souza, W., Kuhlmann, L., Haueisen, J., & Cook, M. J. (2011). HIGH DENSITY SIMULTANEOUS EEG-fMRI IN FOCAL EPILEPSY: ESI-fMRI FOR IMPROVED CHARACTERISATION OF INTERICTAL EVENTS. In EPILEPSIA Vol. 52 (pp. 15). Rome, ITALY: WILEY-BLACKWELL.
    2009 Lau, S., Flemming, L., Gießler, F., Güllmar, D., & Haueisen, J. (2009). Development of an experimental setup to investigate the effect of skull discontinuities on the EEG. In O. Dossel, & W. C. Schlegel (Eds.), IFMBE Proceedings Vol. 25 (pp. 1620-1623). Munich, GERMANY: SPRINGER.
    DOI
    2006 Goernig, M., Tute, C., Liehr, M., Lau, S., Haueisen, J., Figulla, H. R., & Leder, U. (2006). Spatiotemporal correlation analyses: A new procedure for standardisation of DC magnetocardiograms. In Biomedizinische Technik Vol. 51 (pp. 198-200). Germany: WALTER DE GRUYTER & CO.
    DOI Scopus3 WoS3 Europe PMC2
    2006 Lau, S., Haueisen, J., Schukat-Talamazzini, E. G., Voss, A., Goernig, M., Leder, U., & Figulla, H. R. (2006). Low HRV entropy is strongly associated with myocardial infarction. In Biomedizinische Technik Vol. 51 (pp. 186-189). Germany: WALTER DE GRUYTER GMBH.
    DOI Scopus4 WoS3 Europe PMC4

  • Conference Items
    Year Citation
    2023 Sharma, D., Snel, M., Trim, P., Lau, S., Jenkinson, M., Edwards, S., . . . Hamilton-Bruce, A. (2023). Discovery Lipidomics to Differentiate between Transient Ischaemic Attacks (TIAs), TIA Mimics, and Minor Stroke: A Clinical Study at the Royal Adelaide Hospital. Poster session presented at the meeting of Abstracts of Stroke 2023 - The Combined Stroke Society of Australasia and Smart Strokes Nursing and Allied Health Scientific Meeting, as published in International Journal of Stroke. Melbourne, Australia: SAGE Publications.
    DOI
    2023 Kenyon, G., Lau, S., Chappell, M., & Jenkinson, M. (2023). Open Access Automated Segmentation of Cerebral Blood Vessels from MRA using Hysteresis. Poster session presented at the meeting of INTERNATIONAL JOURNAL OF STROKE. SAGE PUBLICATIONS LTD.
    2023 Ellul, B., McNamara, A., Baetu, I., Lau, S., Jenkinson, M., & Collins-Praino, L. (2023). Predicting longitudinal cognition and mood changes in newly diagnosed Parkinson's Disease from substantia nigra imaging. Poster session presented at the meeting of ACNS Conference Sydney 2023. https://drive.google.com/drive/folders/1Ixovo4O6LZNfSrf4S0Ds6vkbmyayHHEt.
    2022 McNamara, A., Ellul, B., Baetu, I., Lau, S., Jenkinson, M., & Collins-Praino, L. (2022). Predicting Progression of Parkinson’s Disease Motor Outcomes Using a Multimodal Combination of Baseline Clinical Measures, Neuroimaging and Biofluid Markers in Early PD. Poster session presented at the meeting of Australasian Neuroscience Conference 2022. Melbourne.
    2022 Ellul, B., McNamara, A., Baetu, I., Lau, S., Jenkinson, M., & Collins-Praino, L. (2022). The role of the substantia nigra in predicting longitudinal cognitive and mood changes in newly diagnosed Parkinson’s Disease. Poster session presented at the meeting of Australasian Neuroscience Conferences 2022. Melbourne, Australia.
    2020 Milton, A. G., Kremer, K. L., Rao, S. R., Mas, E., Snel, M. F., Trim, P. J., . . . Hamilton-Bruce, M. A. (2020). A Prospective Cohort Study to Develop and Validate a Multivariable Prediction Model for Transient Ischaemic Attack (TIA) Diagnosis Using Proteomic Discovery and Candidate Lipid Mass Spectrometry, Neuroimaging and Machine Learning: Study Protocol. Poster session presented at the meeting of Abstracts of the Annual Conference of the Asia Pacific Stroke Organization (APSO 2020), as published in Cerebrovascular Diseases. Korea: Karger.
    DOI
    2014 Haueisen, J., Lau, S., Flemming, L., Sonntag, H., Maess, B., & Gullmar, D. (2014). Influence of volume conductor modeling on source reconstruction in magnetoencephalography and electroencephalography. Poster session presented at the meeting of 2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014. Beijing, PEOPLES R CHINA: IEEE.
    DOI

  • Current Higher Degree by Research Supervision (University of Adelaide)
    Date Role Research Topic Program Degree Type Student Load Student Name
    2022 Co-Supervisor Using AI to predict clinical outcomes in dementia Doctor of Philosophy Doctorate Full Time Luke Thomas Whitbread
    2021 Co-Supervisor Anatomically-based Deep Learning Models for Improved Neuroimaging Analysis Doctor of Philosophy under a Jointly-awarded Degree Agreement with Doctorate Full Time Miss Georgia Kenyon
    2021 Co-Supervisor “Utility of Inflammatory Biomarkers to Predict Brainstem Imaging Changes in Parkinson’s Disease and TBI” Doctor of Philosophy Doctorate Full Time Mr Angus McNamara

  • Memberships
    Date Role Membership Country
    2008 - ongoing Member IEEE Society Australia
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