Maarten De Vos

Research

Decomposition techniques with applications in neuroscience

A glimpse of past and ongoing projects is listed on https://cibim.eng.ox.ac.uk​.  

This will be updated soon

Current research team

Amir Hossein Ansari, Emad Arasteh, Lennert Beeckmans, Miguel Bhagubai, Zhenxiang Cao, Christos Chatzichristos, Ahmed Elmahy, Guido Gagliardi, Elisabeth Heremans, Helene Huts, Jorge Jimenez Garcia, Angeliki-Ilektra Karaiskou, Bavo Kempen, Konstantinos Kontras, Congting Lai, Joran Michiels, Joran Michiels, Nefeli Tzavara, Marjolein van der Linden, Lore van Santvliet, Kenneth Verstraete, Zhijun Xiao, Jingwei Zhang

Biography

Maarten De Vos has a joint appointment as Associate Professor in the Departments of Engineering and Medicine at KU Leuven after being Associate Professor at the University of Oxford, United Kingdom, and Junior Professor at the University of Oldenburg, Germany. He obtained an MSc (2005) and PhD (2009) in Electrical Engineering from KU Leuven, Belgium. His academic work focuses on AI for health, innovative biomedical monitoring and signal analysis for daily life applications, in particular the derivation of personalised biosignatures of patient health from data acquired via wearable sensors and the incorporation of smart analytics into unobtrusive systems. 

His pioneering research in the field of mobile real-life brain-monitoring has won several innovation prices, among which the prestigious Mobile Brain Body monitoring prize in 2017. In 2019, he was awarded the Martin Black Prize for the best paper in Physiological Measurements.

He has a strong interest in translational research and co-founded Circadian Therapeutics with the aim to bring innovative home-monitoring solutions to people suffering from sleep and circadian disorders. He has been guest editor for International Journal of Clinical Neurophysiology and Physiological Measurements. To date, he has (co-)supervised and supervised 10 PhD students to completion.

Active projects

• Supporting the development of self-regulation in infants: a promising strategy in preventive mental health care
• Characterization of brain-brain and brain-body interactions in the context of stress regulation and meditation: New perspectives for the development of biofeedback protocols assisting meditative practice
• Deep, personalized epileptic seizure detection
• AI for PM - Artificial Intelligence (AI) for data-driven personalised medicine
• AI-4-NICU - Maximising impact of multidisciplinary research in early diagnosis of neonatal brain injury.
• AI-PROGNOSIS - Artificial intelligence-based Parkinson’s disease risk assessment and prognosis
• DADS - Dissecting agitation in dementia by multimodal sensing (DADS)
• FAIR - AI Research Program
• FWO-SB - Bavo Kempen - Advanced modelling of cerebrovascular autoregulation lab animal data to build a patient autoregulation monitor
• INFANS - INtegrating Functional Assessment measures for Neonatal Safeguard
• PHASE IV AI - Privacy compliant health data as a service for AI development

Finished projects

• Prevalentie van epilepsie en slaapstoornissen in de ziekte van Alzheimer.
• SeizeIT2 - Discreet personalized epileptic seizure detection device
• SmartCare - Smart Care

Awards

• SmartCare interdisciplinary project - BIR&D award
• laureate KVIV engineering prices 2006

Membership

• Laureate of the Royal Flemish Academy of Belgium for Sciences and Arts (KVAB) in the Class of Technical Sciences. since October 2023
• 2023 Laureate of the Royal Flemish Academy of Belgium for Sciences and Arts (KVAB) in the Class of Technical Sciences since October 2023

Publications

Contributions to books

1. Hunyadi B., Van Huffel S., De Vos M., "The power of tensor decompositions in biomedical applications", in Chapter 3 Machine Learning for Healthcare Technologies, (Clifton D. A., ed.), The Institution of Engineering and Technology (IET) (London, UK), 2016, pp. .


2. Debener S., Cranczioch C., De Vos M., "Electroencephalography: Current trends and future directions.", in Chapter of Neuroeconomics., (Reuter M., and Montag C., eds.), - (London), 2014, pp. 1-15.


3. De Vos M., Cherian P.J., Deburchgraeve W., Swarte R.M., Govaert P. Van Huffel S. and Visser G.H., "Automated neonatal brain monitoring", in Chapter 11 of Neonatal Monitoring Technologies: Design for Integrated Solutions, (Chen W., and and Bambang Oetomo S. and Feijs L., eds.), IGI Global (Hershey, Pennsylvania (USA)), 2012, pp. 244-261.


4. De Vos M., De Lathauwer L., Van Huffel S., "Decomposition methods in neuroscience", in Chapter 1 of Recent Advances in Biomedical Signal Processing, (Gorriz J.M., and and Lang E.W. and Ramirez J., eds.), Bentham Publishers (Bussum, Nederland), 2010, pp. 1-25.

International Journal Papers

1. Chen O.Y., Lipsmeier F., Phan H., Dondelinger F., Creagh A., Gossens C., Lindemann M., De Vos M., "Personalized longitudinal assessment of multiple sclerosis using smarthphones", IEEE Journal of Biomedical and Health Informatics, vol. 27, no. 7, Jul. 2023, pp. 3633-3644.


2. Hermans T., Khazazei M., Raeisi K., Croce P., Tamburro G., Dereymaeker A., De Vos M., Zappasodi F., Comani S., "Microstate analysis reflects maturation of the preterm brain", Brain Topography, Oct. 2023, pp. 1-14.


3. Van den Bulcke L., Peeters A.M., Heremans E., Davidoff H., Borzee P., De Vos M., Emsell L., Van den Stock J., De Roo M., Tournoy J., "Acoustic stimulation as a promising technique to enhance slow-wave sleep in Alzheimer's disease: results of a pilot study", J. Clin. Sleep Med, Aug. 2023.


4. Chatzichristos C., Swinnen L., Macea J., Bhagubai M., Van Paesschen W., Maarten De Vos M., "Multimodal detection of typical absence seizures in home environment with wearable electrodes", Frontiers in Signal Processing, Rising stars in Biomedical Signal Processing, vol. 2, Oct. 2022, pp. 1-11.


5. Verstraete K., Das N., Gyselinck I., Topalovic M., Troosters T., Crapo J.D., Silverman E.K., Make B.J., Regan E.A., Jensen R., De Vos M., Janssens W., "Principal component analysis of flow-volume curves in COPDGene to link spirometry with phenotypes of COPD", Respir Res, (online), vol. 24, no. 1, Jan. 2023, pp. 1-20.


6. Macea J., Bhagubai M., Broux V., De Vos M., Van Paesschen W., "In-hospital and home-based long-term monitoring of focal epilepsy with a wearable electroencephalography device. Diagnostic yield and user experience", Epilepsia, (online), Jan. 2023, pp. 1-37.


7. Hermans T., Carkeek K., Dereymaeker A., Jansen K., Naulaers G., Van Huffel S., De Vos M., "Assessing Neurovascular Coupling Using Wavelet Coherence in Neonates with Asphyxia", Adv Exp Med Biol, vol. 1395, 2022, pp. 183-187.


8. Brophy E., Redmond P., Fleury A., De Vos M., Boylan G., Ward T., "Denoising EEG Signals for Real-World BCI Applications Using GANs", Frontiers in Neuroinformatics, vol. 2, Jan. 2022, pp. 1-11 (art nb. 805573).


9. De Vos M., Van Schependom J., "Artificial intelligence will change MS care within the next 10 years : no", Multiple Sclerosis Journal, vol. 28, no. 14, Dec. 2022, pp. 2173-2174.


10. Hermans T., Carkeek K., Dereymaeker A., Jansen K., Naulaers G., Van Huffel S., De Vos M., "Partial wavelet coherence as a robust method for assessment of neurovascular coupling in neonates with hypoxic ischemic encephalopathy", Scientific Reports, vol. 13, no. 1, Jan. 2023, pp. 457.


11. Vaulet T., Divard T., Thaunat O., Koshy P., Lerut E., Senev A., Aubert O., Van Loon E., Callemyn J., Emonds M.P., Van Craenenbroeck A., De Vusser K., Sprangers B., Rabeyrin M., Dubois V., Kuypers D., De Vos M., Loupy A., De Moor B., Naesens M., "Data-driven chronic allograft phenotypes : A novel and validated complement for histologic assessment of kidney transplant biopsies", Journal of the American Society of Nephrology, Oct. 2022, 14 p.


12. Heremans E. R. M., Phan H., Borzee P., Buyse B., Testelmans D., De Vos M., "From unsupervised to semi-supervised adversarial domain adaptation in EEG-based sleep staging", Journal of Neural Engineering, vol. 19, no. 3, Jun. 2022, pp. 036044-.


13. Heremans E. R. M., Phan H., Ansari A. H., Borzee P., Buyse B., Testelmans D., De Vos M., "Feature matching as improved transfer learning technique for wearable EEG", Biomedical Signal Processing and Control, vol. 78, Sep. 2022, pp. 104009-.


14. Zhang C., Yu W., Li Y., Sun H., Zhang Y., De Vos M., "CMS2-net : Semi-supervised Sleep Staging for Diverse Obstructive Sleep Apnea Severity", IEEE Journal of Biomedical and Health Informatics, vol. 26, no. 7, Jul. 2022, pp. 3447-3453.


15. Creagh A.P., Lipsmeier F., Lindemann M., De Vos M., "Interpretable deep learning for the remote characterisation of ambulation in multiple sclerosis using smartphones", Scientific Reports, vol. 11, 2021, pp. 14-301.


16. Chen O.Y., Phan H., Cao H., Qian T., Nagels G., De Vos M., "Probing potential priming : Defining, quantifying, and testing the causal priming effect using the potential outcomes framework", Frontiers in Psychology, vol. 12, 2022, art nb. 724498 p.


17. Giels K., Abeele M.E.V., Verbert K., Tournoy J., De Vos M., Abeele V.V., "Detecting mild cognitive impairment via digital biomarkers of cognitive performance found in Klondike solitaire : A machine-learning study", Digital Biomarkers, vol. 5, no. 1, 2021, pp. 44-52.


18. Phan H., Mikkelsen K., Chen O.Y., Koch P., Mertins A., De Vos M., "SleepTransformer : Automatic sleep staging with interpretability and uncertainty quantification", IEEE Transactions on Biomedical Engineering, vol. 69, no. 8, Aug. 2022, pp. 2456-2467.


19. Brophy E., De Vos M., Boylan G., Ward T., "Multivariate generative adversarial networks and their loss functions for synthesis of multichannel ECGs", IEEE Access, vol. 9, Nov. 2021, pp. 158936-158945.


20. Mikkelsen K.B., Phan H., Rank M.L., Hemmsen M.C., De Vos M., Kidmose P., "Sleep monitoring using ear-centered setups : Investigating the influence from electrode configurations", IEEE Transactions on Biomedical Engineering, vol. 69, no. 5, May 2022, pp. 1564-1572.


21. Zhang J., Chatzichristos C., Vandecasteele K., Swinnen L., Broux V., Cleeren E., Van Paesschen W., De Vos M., "Automatic annotation correction for wearable EEG based epileptic seizure detection", Journal of Neural Engineering, vol. 19, no. 1, Feb. 2022, pp. 1-13.


22. Van Loon E., Zhang W., Coemans M., De Vos M., Emonds M-P., Scheffner I., Gwinner W., Kuypers D., Senev A., Tinel C., Van Craenenbroeck AH., De Moor B., Naesens M., "Forecasting of Patient-Specific Kidney Transplant Function With a Sequence-to-Sequence Deep Learning Model", JAMA Network Open, Dr Van Loon and Ms Zhang contributed equally, vol. 4(12), Dec. 2021, pp. 1-12.


23. Swinnen L., Chatzichristos C., Jansen K., Lagae L., Depondt C., Seynaeve L., Vancaester E., Van Dycke A., Macea J., Vandecasteele K., Broux V., De Vos M. Van Paesschen W., "Accurate detection of typical absence seizures in adults and children using a two-channel EEG wearable behind the ears", Epilepsia, vol. to appear, Sep. 2021, pp. 1-10.


24. Phan H., Mikkelson K., Chen O.Y., Koch P., Mertins A., Kidmose P., De Vos M., "Personalized automatic sleep staging with single-night data : A pilot study with Kullback-Leibler divergence regularization", Physiological Measurement, vol. 41, Jun. 2020, 064004 p.


25. Laton J., Van Schependom J., Goossens J., Wiels W., Sieben A., De Deyn P.P., Goeman J., Streffer J., van der Zee J., Martin J.J., Van Broeckhoven C., De Vos M., Bjerke M., Nagels G., Engelborghs S., "Improved Alzheimer's disease versus frontotemporal lobar degeneration differential diagnosis combing EEG and Neurochemical biomarkers", Journal of Alzheimers Disease, vol. 90, no. 4, Jan. 2022, pp. 1739-1747.


26. Cooray N., Andreotti F., Lo C., Symmonds M., Hu M.T.M., De Vos M., "Proof of concept : Screening for REM sleep behaviour disorder with a minimal set of sensors", Clinical Neurophysiology, vol. 132, no. 4, 2021, pp. 904-913.


27. Phan H., Chen O.Y., Tran M.C., Koch P., Mertins A., De Vos M., "XSleepNet : Multi-View Sequential Model for Automatic Sleep Staging", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 9, Sep. 2022, pp. 5903-5915.


28. Wynants L., Van Calster B., Collins G.S., Riley R.D., Heinze G., Schuit E., Bonten M.M.J., Dahly D.L., Damen J.A., Debray T.P.A., de Jong V.M.T., De Vos M., Dhiman P., Haller M.C., Harhay M.O., Henckaerts L., Heus P., Kammer M., Kreuzberger N., Lohmann A., Luijken K., Ma J., Martin G.P., McLernon D.J., Navarro C.L.A., Reitsma J.B., Sergeant J.C., Shi C., Skoetz N., Smits L.J.M., Snell K.I.E., Sperrin M., Spijker R., Steyerberg E.W., Takada T., Tzoulaki I., van Kuijk S.M.J., van Bussel B.C.T., van der Horst I.C.C., van Royen F.S., Verbakel J.Y., Wallish C., Wilkinson J., Wolff R., Hooft L., Moons K.G.M., van Smeden M., "Prediction models for diagnosis and prognosis of covid-19 : systematic review and critical appraisal", BMJ, vol. 369, 2021, pp. 1-16.


29. Chen O.Y., Cao H., Phan H., Nagels G., Reinen J.M., Gou J., Qian T., Di J., Prince J., Cannon T.D., De Vos M., "Identifying neural signatures mediating behavioral symptoms and psychosis onset : High-dimensional whole brain functional mediation analysis", NeuroImage, vol. 226, Nov. 2020, pp. 1-11.


30. Coonahan E.S., Yang K.A., Pecic S., De Vos M., Wellems T.E., Fay M.P., Andersen J.F., Tarning J., Long C.A., "Structure-switching aptamer sensors for the specific detection of piperaquine and mefloquine", Science Translational Medicine, vol. 13, Mar. 2021, pp. 1-12.


31. Meyer N., Joyce D.W., Karr C., De Vos M., Dijk D.J., Jacobson N.C., MacCabe J.H., "The temporal dynamics of sleep disturance and psychopathology in psychosis : a digital sampling study", Psychological Medicine, Nov. 2020, pp. 1-10.


32. Hermans T., Thewissen L., Gewillig M., Cools B., Jansen K., Pillay K., Van Huffel S., De Vos M., Naulaers G., Dereymaeker A., "Functional brain maturation and sleep organisation in neonates with Congenital Heart Disease", European Journal of Paediatric Neurology, vol. 36, Jan. 2022, pp. 115-122.


33. Becker T., Vandecasteele K., Chatzichristos C., Van Paesschen W., Valkenborg D., Van Huffel S., De Vos M., "Classification with a Deferral Option and Low-Trust Filteringfor Automated Seizure Detection", Sensors, Special Issue Healthcare Monitoring and Management with Artificial Intelligence, vol. 21, no. 1046, Feb. 2021, pp. 1-18.


34. Ansari A., Pillay K., Dereymaeker A., Jansen K., Van Huffel S., Naulaers G., De Vos M., "A Deep Shared Multi-Scale Inception Network Enables Accurate Neonatal Quiet Sleep Detection with Limited EEG Channels"


35. Seeuws N., De Vos M., Bertrand A., "Electrocardiogram Quality Assessment using Unsupervised Deep Learning", IEEE Transactions on Biomedical Engineering, vol. 69, no. 2, Feb. 2022, pp. 882-893.


36. Vandecasteele K., De Cooman T., Chatzichristos C., Cleeren E., Swinnen L., Macea Ortiz J., Van Huffel S., Dümpelmann M., Schulze-Bonhage A., De Vos M., Van Paesschen W. and Hunyadi B., "The power of ECG in multimodal seizure monitoring: visual recognition and added value to an EEG-based detector using limited channels", Epilepsia, vol. 62,no. 10, Jul. 2021, pp. 2333-2343.


37. Vaulet T., Divard G., Thaunat O., Lerut E., Senev A., Aubert O., Van Loon E., Callemeyn J., M.-P., Van Craenenbroeck A., De Vusser K., Sprangers B., Rabeyrin M., Dubois V., Kuypers D., De Vos M., Loupy A., De Moor B., Naesens M., "Data-driven derivation and validation of novel phenotypes for acute kidney transplant rejection using semi-supervised clustering", Journal of the American Society of Nephrology, vol. 32, 2021, 37 p.


38. Phan H., McLoughlin I.V., Pham L., Chen O.Y., Koch P., De Vos M., Mertins A., "Improving GANs for speech enhancement", IEEE Signal Processing Letters, vol. 27, 2020, pp. 1700-1704.


39. Creagh A.P., Simillion C., Scotland A., Lipsmeier F., Bernasconi C., Belachew S., van Beek J., Baker M., Gossens C., Lindemann M., De Vos M., "Smartphone-based remote assessment of upper extremity function for multiple sclerosis using the Draw a Shape Test", Physiological Measurement, vol. 41, 2020, 054002 p.


40. Chen O.Y., Lipsmeier F., Phan H., Prince J., Taylor K.I., Gossens C., Lindemann M., De Vos M., "Building a machine-learning framework to remotely assess Parkinson's disease using smartphones", IEEE Transactions on Biomedical Engineering, vol. 67, no. 12, 2020, pp. 3491-3500.


41. Ghimatgar H., Kazemi K., Helfroush M.S., Pillay K., Dereymaker A., Jansen K., De Vos M., Aarabi A., "Neonatal EEG sleep stage classification based on deep learning and HMM", Journal of Neural Engineering, vol. 17, 2020, 036031 p.


42. Creagh A.P., Simillion C., Bourke A., Scotland A., Lipsmeier F., Bernasconi C., van Beek J., Baker M., Gossens C., Lindemann M., De Vos M., "Smartphone-and smartwatch-based remote characterisation of ambulation in multiple sclerosis during the two-minute walk test", IEEE Journal of Biomedical and Health Informatics, vol. 25, no. 3, Mar. 2021, pp. 838-849.


43. Phan H., Chen O.Y., Koch P., Lu Z., McLoughlin I., Mertins A., De Vos M., "Towards more accurate automatic sleep staging via deep transfer learning", IEEE Transactions on Biomedical Engineering, vol. 68, no. 6, 2020, pp. 1787-1798.


44. De Ryck T., De Vos M., Bertrand A., "Change Point Detection in Time Series Data using Autoencoders with a Time-Invariant Representation", IEEE Transactions on Signal Processing, vol. 69, Jun. 2021, pp. 3513 - 3524.


45. Ansari A.H., De Wel O., Pillay K., Dereymaeker A., Jansen K., Van Huffel S., Naulaers G., De Vos M., "A convolutional neural network outperforming state-of-the-art sleep staging algorithms for both preterm and term infants", Journal Neural Eng, Jan. 2020, 016028 p.


46. Hunyadi B., Woolrich M., Quinn A., Vidaurre D., De Vos M., "A dynamic system of brain networks revealed by fast transient EEG fluctuations and their fMRI correlates", NeuroImage, vol. 185, Jan. 2019, pp. 72-82.


47. Ansari A.H., De Wel O., Lavanga M., Caicedo A., Dereymaeker A., Jansen K., Vervisch J., De Vos M., Naulaers G., Van Huffel S., "Quiet Sleep Detection in Preterm Infants using Deep Convolutional Neural Networks", mph{Journal of Neural Engineering}, vol. 15, no. 6, Sep. 2018, pp. 1-11.


48. Dereymaeker A., Matic V., Vervisch J., Cherian P.J., Ansari A.H., De Wel O., Govaert P., De Vos M., Van Huffel S., Naulaers G., Jansen K., "Automated EEG background analysis to identify neonates with hypoxic-ischemic encephalopathy treated with hypothermia at risk for adverse outcome : a pilot study", Pediatrics and Neonatology, vol. 60, no. 1, 2019, pp. 50-58.


49. Pillay K., Dereymaeker A., Jansen K., Naulaers G., Van Huffel S., De Vos M., "Automated EEG sleep staging in the term-age baby using a generative modelling approach", Journal of Neural Engineering, vol. 15, no. 3, 2018, pp. 036-004.


50. Dereymaeker A., Pillay K., Vervisch J., De Vos M., Van Huffel S., Jansen K., Naulaers G., "Review of sleep-EEG in preterm and term neonates", Early Human Development, vol. 113, no. *, 2017, pp. 87-103.


51. Ansari A.H., Cherian P. J., Caicedo A., Naulaers G., De Vos M., Van Huffel S., "Neonatal Seizure Detection Using Deep Convolutional Neural Networks", International Journal of Neural Systems, vol. 28, no. 0, Apr. 2018, pp. 1850011-1 - 1850011-20.


52. Ansari A.H., Cherian P. J., Caicedo A., Dereymaeker A., Jansen K., De Wispelaere L., Dielman C., Vervisch J., Govaert P., De Vos M., Naulaers G., Van Huffel S., "NeoGuard: a public, online learning platform for neonatal seizures", arXiv.org - Quantitative Biology - Neurons and Cognition, vol. 0, no. 0, May 2019, pp. 1-22.


53. Dereymaeker A., Pillay K., Vervisch J., Van Huffel S., Naulaers G., Jansen K., De Vos M., "An automated quiet sleep detection approach in preterm infants as a gateway to assess brain maturation", International Journal of Neural Systems, vol. 27, no. 0, 2017, pp. 1-18 (1750023).


54. Ansari A.H., Cherian P. J., Caicedo A., Jansen K., Dereymaeker A., De Wispelaere L., Dielman C., Vervisch J., Govaert P., De Vos M., Naulaers G., Van Huffel S., "Weighted performance metrics for automatic neonatal seizure detection using multi-scored EEG data", IEEE Journal of Biomedical and Health Informatics, vol. 22, no. 4, Jul. 2018, pp. 1114-1123.


55. Cleynen I., Konings P., Robberecht C., Laukens D., Amininejad L., Theatre E., Machiels K., Arijs I., Rutgeerts P., Louis E., Franchimont D., De Vos M., Van Steen K., Georges M., Moreau Y., Vermeesch J., Vermeire S., "Genome-wide copy number variation scan identifies complement component C4 as novel susceptibility Gene for Crohn's disease", Inflamm. Bowel Dis, vol. 22, no. 3, Mar. 2016, pp. 505-515.


56. Ansari A.H., Cherian P.J., Dereymaeker A., Matic V., Jansen K., De Wispelaere L., Dielman C., Vervisch J., Swarte R.M.C., Govaert P., Naulaers G., De Vos M., Van Huffel S., "Corrigendum to Improved multi-stage neonatal seizure detection using a heuristic classifier and a data-driven post-processor [Clin Neurophysiol 127 (2016) 3014-3024]''", Clinical Neurophysiology, vol. 127, no. 11, 2016, pp. 3498.


57. Dereymaeker A., Ansari A.H., Jansen K., Cherian P. J., Vervisch J., Govaert P., De Wispelaere L., Dielman C., Matic V., Caicedo A., De Vos M., Van Huffel S., Naulaers G., "Interrater agreement in visual scoring of neonatal seizures based on majority voting on a web-based system: the Neoguard EEG database", Clinical Neurophysiology, vol. 128, no. 9, Sep. 2017, pp. 1737-1745.


58. Zink R., Hunyadi B., Van Huffel S., De Vos M., "Mobile EEG on the bike: disentangling attentional and physical contributions to auditory attention tasks", Journal of Neural Engineering, vol. 13, no. 4, Jun. 2016, pp. 046017.


59. Ansari A.H., Cherian P.J., Dereymaeker A., Matic V., Jansen K., De Wispelaere L., Dielman C., Vervisch J., Swarte R.M.C., Govaert P., Naulaers G., De Vos M., Van Huffel S., "Improved multi-stage neonatal seizure detection using a heuristic classifier and a data-driven post-processor", clinical neurophysiology, vol. 127, no. 9, Sep. 2016, pp. 3014-3024.


60. Dereymaeker A., Koolen N., Jansen K., Vervisch J., Ortibus E., De Vos M., Van Huffel S., Naulaers G., "The Suppression Curve as a quantitative approach for measuring brain maturation in preterm infants Clinical Neurophysiology", Clin. Neurophysiol., vol. 127, no. 8, Aug. 2016, pp. 2760-2765.


61. Zink R., Hunyadi B., Van Huffel S., De Vos M., "Tensor-Based Classification of Auditory Mobile BCI without Subject-Specific Calibration Phase", Journal of Neural Engineering, vol. 13, no. 2, Feb. 2016, pp. 026005.


62. Matic V., Perumpillichira Cherian J., Jansen K., Koolen N., Naulaers G., Swarte R.M., Govaert P., Van Huffel S., De Vos M., "Improving reliability of monitoring background EEG dynamics in asphyxiated infants", IEEE Transactions on Biomedical Engineering, vol. 63, no. 5, 2016, pp. 973-983.


63. Koolen N., Dereymaeker A., Rasanen O., Jansen K., Vervisch J., Matic V., Naulaers G., De Vos M., Van Huffel S., Vanhatalo S., "Early development of synchrony in cortical activations in the human.", Neuroscience, vol. 322, 2016, pp. 298-307.


64. Matic V., Perumpillichira Cherian J., Koolen N., Ansari A.H., Naulaers G., Govaert P., Van Huffel S., De Vos M., Vanhatalo S., "Objective differentiation of neonatal EEG background grades using detrended fluctuation analysis", Frontiers in Human Neuroscience, vol. 9, Apr. 2015, pp. 1-14 (Article 189).


65. Gligorijevic I., Sleutjes B.T.H.M., De Vos M., Blok J.H., Montfoort I., Mijovic B., Signoretto M., Van Huffel S., "Motor Unit Tracking Using High Density Surface Electromyography (HDsEMG)", Methods of Information in Medicine, vol. 54, 2015, pp. 221-231.


66. Hunyadi B., Tousseyn S., Dupont P., Van Huffel S., De Vos M., Van Paesschen W., "A prospective fMRI-based technique for localising the epileptogenic zone in presurgical evaluation of epilepsy", Neuroimage, vol. 113, Jun. 2015, pp. 329-339.


67. Matic V., Cherian P.J., Koolen N., Naulaers G., Swarte R.M., Govaert P., Van Huffel S., De Vos M., "Holistic approach for automated background EEG assessment in asphyxiated full-term infants", Journal of neural engineering, vol. 11, no. 6, Oct. 2014, pp. 1-14.


68. Koolen N., Dereymaeker A., Räsänen O., Jansen K., Vervisch J., Matic V., De Vos M., Van Huffel S., Naulaers G., Vanhatalo S., "Interhemispheric synchrony in the neonatal EEG revisited: Activation Synchrony Index as a promising classifier.", Frontiers in Human Neuroscience, vol. 8, 2014, art. nb. 1030 p.


69. Liu Y., De Vos M., Van Huffel S., "Compressed sensing of multi-channel EEG signals : The simultaneous cosparsity and low rank optimization", IEEE Transactiolns on Biomedical Engineering, vol. 62, no. 8, Aug. 2015, pp. 2055-2061.


70. Strobbe G., van Mierlo P., De Vos M., Mijovic B., Hallez H., Van Huffel S., Lopez J.D., Vanden Berghe S., "Multiple sparse volumetric priors for distributed EEG source reconstruction", NeuroImage, vol. 100, 2014, pp. 715-724.


71. Strobbe G.L.E., van Mierlo P., De Vos M., Mijovic B., Hallez H., Van Huffel S., Lopez J.D., Vandenberghe S., "Bayesian model selection of template forward models for EEG source reconstruction", NeuroImage, vol. 93, 2014, pp. 11-22.


72. Koolen N., Jansen K., Vervisch J., Matic V., De Vos M., Naulaers G., Van Huffel S., "Line Length as a Robust Method to Detect High-Activity Events: Automated Burst Detection in Premature EEG Recordings", Clinical Neurophysiology, vol. 125, no. 10, Oct. 2014, pp. 1985-1994.


73. Hunyadi B., Camps D., Sorber L., Van Paesschen W., De Vos M., Van Huffel S., De Lathauwer L., "Block term decomposition for modelling epileptic seizures", EURASIP Journal on Advances in Signal Processing, Special Issue on Recent Advances in Tensor Based Signal and Image Processing, vol. 2014, no. 139, Sep. 2014, pp. .


74. Matic V., Cherian PJ., Widjaja D., Jansen K., Naulaers G., Van Huffel S., De Vos M., "Heart Rate Variability in Newborns with Hypoxic Brain Injury", Advances in Experimental Medicine and Biology, vol. 789, May 2013, pp. 43-48.


75. Strobbe G., van Mierlo P., De Vos M., Mijovic B., Hallez H., Van Huffel S., David Lopez J., Vandenberghe S., "Improved EEG source reconstruction using MRI based finite difference forward models."


76. Mijovic B., De Vos M., Vanderperren K., Machilsen B., Sunaert S., Van Huffel S., Wagemans J., "The dynamics of contour integration: A simultaneous EEG-fMRI study", NeuroImage, vol. 88, no. *, 2014, pp. 10-21.


77. Hunyadi B., Tousseyn S., Mijovic B., Dupont P., Van Huffel S., Van Paesschen W., De Vos M., "ICA extracts epileptic sources from fMRI in EEG-negative patients : a retrospective validation study", PloS ONE, vol. 8, no. 11, Nov. 2013, pp. 1-9.


78. Liu Y., De Vos M., Gligorijevic I., Matic V., Li Y., Van Huffel S., "Multi-Structural Signal Recovery for Biomedical Compressive Sensing", IEEE Transactions on Biomedical Engineering, vol. 60, no. 10, Oct. 2013, pp. 2794-2805.


79. Debener S., Minow F., Hippen R., Gandras K., De Vos M., "EEG to go: a small and wireless EEG for mobile brain computer interfacing.", Psychophysiology, vol. 49, no. 11, Nov. 2012, 1617ֱ621 p.


80. De Vos M., Thorne J.D., Yovel G. and Debener S., "Let's face it, from trial to trial: Comparison of different single-trial N170 estimation procedures.", Neuroimage, vol. 63, no. 3, Nov. 2012, pp. 1196-202.


81. Regenbogen C., De Vos M., Kellermann T., Debener S., Turetsky B.I., Mossnang C., Finkelmeyer A., Habel U., Neuner I., "Enhanced auditory processing under crossmodal visual load investigated with simultaneous EEG-fMRI", Plos One, vol. 7, no. 12, Dec. 2012, pp. e52267--.


82. Kellermann T., Regenbogen C., De Vos M., Moessnang C., Finkelmeyer A., Habel U., "Functional and effective connectivity of the human cerebellum during visual attention", The journal of neuroscience, vol. 32, no. 33, Mar. 2012, pp. 11453-11460.


83. Despotovic I., Perumpillichira J.C., De Vos M., Hallez H., Deburchgraeve W., Govaert P., Lequin M., Visser G.H., Swarte R.M., Vansteenkiste E., Van Huffel S., Philips W., "Relationship of EEG sources of neonatal seizures to acute perinatal brain lesions seen on MRI: a pilot study", Human Brain Mapping, vol. 34, no. 10, Oct. 2013, pp. --.


84. Hunyadi B., Signoretto M., Van Huffel S., Suykens J.A.K., De Vos M., "Incorporating structural information from the multichannel EEG improves patient-specific seizure detection", Clinical Neurophysiology, vol. 123, no. 12, Dec. 2012, pp. 2352-2361.


85. Vanderperren K., Mijovic B., Novitskiy N., Vanrumste B., Stiers P., Van den Bergh B.R.H., Lagae L., Sunaert S., Wagemans J., Van Huffel S., De Vos M., "Single trial ERP reading based on Parallel Factor Analysis", Psychophysiology, vol. 50, 2013, pp. 97-110.


86. Viola F.C., De Vos M., Hine J., Sandmann P., Bleeck S., Eyles J., Debener S., "Semi-Automatic attenuation of cochlear implant artifacts for the evaluation of late auditory evoked potentials", Hearing Research, vol. 284, no. -, Jan. 2012, pp. 6-15.


87. De Vos M., Deburchgraeve W., Cherian P.J., Matic V., Swarte R.M., Visser G.H., Govaert P., Van Huffel S., "Automated artifact removal as preprocessing refines neonatal seizure detection", Clinical Neurophysiology, Dec. 2011, pp. 2345-2354.


88. Cherian P.J., Deburchgraeve W., Swarte R.M., De Vos M., Govaert P., Van Huffel S., Visser G.H., "Validation of a new automated neonatal seizure detection system : a clinician's perspective", Clinical Neurophysiology, vol. 122, no. -, Dec. 2011, pp. 1490-1499.


89. Gligorijevic I., van Dijk J.P., Mijovic B., Van Huffel S., Blok J.H., De Vos M., "A new and fast approach towards sEMG decomposition", Medical & Biological Engineering & Computing, vol. 51, no. 5, May 2013, pp. 593-605.


90. Mijovic B., Vanderperren K., Novitskiy N., Vanrumste B., Stiers P., Vand den Bergh B., Wagemans J., Lagae L., Sunaert S., Van Huffel S., De Vos M., "The Why'' and How'' of JointICA: Results from a Visual Detection Task", NeuroImage, vol. 60, no. 2, Apr. 2012, pp. 1171-1185.


91. Deburchgraeve W., Cheridan P.J., De Vos M., Swarte R.M., Blok J.H., Visser G.H., Govaert P., Van Huffel S., "Exploration of the CP decomposition combined with SVD analysis for neonatal oscillatory seizure localization", Methods of Information iin Medicine, vol. 49, no. *, 2010, pp. 473-478.


92. Thorne J., De Vos M., Viola F., and Debener S., "Cross-Modal Phase Reset Predicts Auditory Task Performance in Humans", Journal of Neuroscience, vol. 31, Mar. 2011, pp. 3853-3861.


93. Debener S., De Vos M., "The benefits of simultaneous EEG-fMRI for EEG analysis.", Clinical Neurophysiology, Editorial, vol. 122, no. 2, Jul. 2010, pp. 217-218.


94. Deburchgraeve W., Cherian P.J., De Vos M., Swarte R.M., Blok J.H., Visser G.H., Govaert P., Van Huffel S., "Time varying neonatal seizure localization", Methods of Information in Medicine, vol. 5, no. *, 2010, pp. 473-478.


95. Novitskiy N., Ramautar J.R., Vanderperren K., De Vos M., Mennes M., Mijovic B., Vanrumste B., Stiers P., Van den Bergh B., Lagae L., Sunaert S., Van Huffel S., Wagemans J., "The BOLD correlates of the visual P1 and N1 in single-trial analysis of simultaneous EEG-fMRI recordings during a spatial detection task", NeuroImage, vol. 54, no. 2, Jan. 2011, pp. 824-835.


96. Vanderperren K., De Vos M., Ramautar J.R., Novitskiy N., Mennes M., Assecondi S., Vanrumste B., Stiers P., Van den Bergh B.R.H., Wagemans J., Lagae L., Sunaert S., Van Huffel S., "Removal of BCG artifacts from EEG recordings inside the MR scanner: a comparison of methodological and validation-related aspects", NeuroImage, vol. 50, no. 3, Apr. 2010, pp. 920-934.


97. Mijovic B., De Vos M., Gligorijevic I., Taelman J., Van Huffel S., "Source Separation from Single-Channel Recordings by Combining Empirical Mode Decomposition and Independent Component Analysis", IEEE Transactions on Biomedical Engineering, vol. 57, no. 9, Sep. 2010, pp. 2188 - 2196.


98. Deburchgraeve W., Cherian P.J., De Vos M., Swarte R.M., Blok J.H., Visser G.H., Govaert P., Van Huffel S., "Neonatal seizure localization using PARAFAC decomposition", Clinical Neurophysiology, vol. 120, Oct. 2009, pp. 1787-1796.


99. De Vos M., Nion D., Van Huffel S. and De Lathauwer L., "A combination of Parallel Factor and Independent Component Analysis", Signal Processing, vol. 92, Jul. 2012, pp. 2990-2999.


100. De Vos M., Ries S., Vanderperren K., Vanrumste B.. Alario F-X., Van Huffel S. and Burle B., "Removal of muscle artifacts from EEG recordings of spoken language production", Neuroinformatics, vol. 8, no. 2, Jun. 2010, pp. 135-150.


101. De Vos M., De Lathauwer L., Van Huffel S., "Spatially Constrained ICA algorithms with applications in EEG processing", Signal Processing, vol. 91, no. 8, Aug. 2011, pp. 1963-1972.


102. Hallez H., De Vos M., Vanrumste B., Van Hese P., Assecondi S., Van Laere K., Dupont P., Van Paesschen W., Van Huffel S., Lemahieu I., "Removing muscle and eye artifacts using blind source separation techniques in ictal EEG source imaging", Clinical Neurophysiology, vol. 120, Dec. 2008, pp. 1262-1272.


103. Deburchgraeve W., Cherian P.J., De Vos M., Swarte R.M., Blok J.H., Visser G.H., Govaert P., Van Huffel S., "Automated neonatal seizure detection mimicking a human observer reading EEG", Clinical Neurophysiology, vol. 119, no. 11, Nov. 2008, pp. 2447-2454.


104. Vanderperren K., Ramautar J., Novitski N., De Vos M., Mennes M., Vanrumste B., Stiers P., Van den Bergh B., Wagemans J., Lagae L., Sunaert S., Van Huffel S., "Ballistocardiogram artifacts in simultaneous EEG-fMRI acquisitions", International Journal of Bioelectromagnetism, Special Issue on Methods for the estimation of brain activity I, vol. 9, no. 3, Dec. 2007, pp. 146-150.


105. De Vos M., De Lathauwer L., Vanrumste B., Van Huffel S., Van Paesschen W., "Canonical Decomposition of ictal scalp EEG and accurate source localisation: Principles and simulation study", Computational Intelligence and Neuroscience, Special issue on EEG/MEG, vol. 2007, no. Article ID 58253, Dec. 2007, pp. 1-10.


106. De Vos M., Vergult A., De Lathauwer L., De Clercq W., Van Huffel S., Dupont P., Palmini A., Van Paesschen W., "Canonical decomposition of ictal scalp EEG reliably detects the seizure onset zone.", Neuroimage, vol. 37, no. 3, Sep. 2007, pp. 844-854.


107. De Vos M., Laudadio T., Simonetti A.W., Heerschap A., Van Huffel S., "Fast nosologic imaging of the brain", Journal of Magnetic Resonance, vol. 184, no. 2, Jan. 2007, pp. 292-301.

National Journal Papers

1. De Moor B., De Vos M., Vens C., Nowe A., Heyman R., "Artificiele intelligentie : een nieuwe systeemtechnologie, ook in Vlaanderen", Vlaams Tijdschrift voor Overheidsmanagement, vol. 4, 2022, pp. 35-47.


2. De Vos M., "Nosologische Beeldvorming als hulp bij kankerdiagnose", Het Ingenieursblad, no. 8, Sep. 2007, pp. 28-32.

International Conference Papers

1. Gagliardi G., Alfeo A.L., Catrambone V., Cimino M.G.C.A., De Vos M., Valenza G., "Fine-grained emotion recognition using brain-heart interplay measurements and eXplainable convolutional neural networks", in Proc. of the 11th IEEE/EMBS Conference on Neural Engineering (NER), Baltimore, USA, Apr. 2023, 4 p.


2. Chen O.Y., Vu D.T., Greub G., Cao H., He X., Muller Y., Petrovas C., Shou H., Nguyen V.D., Zhi B., Perez L., Raisaro J.L., Nagels G., De Vos M., He W., Gottardo R., Smart P., Munafo M., Pantaleo G., "The statistical Analysis of the Varying Brain", in Proc. of the 2023 IEEE Statistical Signal Processing Workshop (SSP), Hanoi, Vietnam, Jul. 2023, 5 p.


3. Dendooven A., Styanidis A., Raes L., Van Craenenbroeck A., Maeyens M., Kotras K., De Vos M., "Automatic segmentation of glomerular substructures by deep learning", in Proc. of the NEPHROLOGY DIALYSIS TRANSPLANTATION (0th ERA Congress), Milan, Italy, Jun. 2023, I260 p.


4. Heremans E. R. M., Osselaer T., Seeuws N., Phan H., Testelmans D., De Vos M., "Data augmentation in semi-supervised adversarial domain adaptation for EEG-based sleep staging", in 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Ioannina, Greece, Sep. 2022, pp. 1-4.


5. Chatzichristos C., Dan J., Mundanad Narayanan A., Seeuws N., Vandecasteele K., De Vos M., Bertrand A., Van Huffel S., "Epileptic Seizure Detection in EEG via Fusion of Multi-View Attention-Gated U-Net Deep Neural Networks", in Proc. of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB), Philadelphia, Pennsylvania, Dec. 2020, pp. 1-11.


6. Cooray N., Li Z., Wang J., Lo C., Arvaneh M., Symmonds M., Hu M., De Vos M., Mihaylova L.S., "Automated Movement Detection with Dirichlet Process Mixture Models and Electromyography", in Proc. of the 25th International Conference of Information Fusion (FUSION22), Linkoping, Sweden, Jul. 2022, pp. 1-8.


7. De Brabandere A. Cao Z. De Vos M. Bertrand A. Davis J., "Semi-supervised change point detection using active learning", in Proc. of the 25th International Conference (DS2022), Montpellier, France, Oct. 2022, pp. 74-88.


8. Chatzichristos C., Golib-Dzib J. F., Clinckaert A., Everaerts W., De Vos M., Lewi M., "A non-conformity approach towards post-prostatectomy metastasis estimation using a multicentre prostate cancer database", in Proc. of the Symposium on Conformal and Probabilistic Prediction and Applications (COPA), online, UK, Sep. 2021, pp. 1-20.


9. Chatzichristos C., Dan J., Narayanan A. M., Seeuws N., Vandecasteele K., De Vos M., Bertrand A., Van Huffel S., "Epileptic Seizure Detection in EEG via Fusion of Multi-View Attention-Gated U-net Deep Neural Networks", in Proc. of the IEEE Signal Processing in Medicine and Biology Symposium (IEEE SPMB), Philadelphia, USA, Dec. 2020, pp. 1-7.


10. Zink R., Hunyadi B., De Vos M., Van Huffel. S., "Data-Driven Clustering of P300 EEG Data Using Coupled Tensor Decompositions", in Proc. of the International Scientific Conference on Information Technology and Data Related Research, Belgrade, Serbia, Apr. 2017, pp. 9-18.


11. Ansari A.H., Cherian P. J., Caicedo A., De Vos M., Naulaers G., Van Huffel S., "Improved Neonatal Seizure Detection Using Adaptive Learning", in Engineering in Medicine and Biology Society (EMBC), 2017 39th Annual International Conference of the IEEE, Seogwipo, South Korea, Sep. 2017, pp. 2810-2813.


12. Zink R., Baptist A., Bertrand A., Van Huffel S., De Vos M., "Online detection of auditory attention in a neurofeedback application", in Proc. of the 8th International Workshop on Biosignal Interpretation (BSI2016), Osaka, Japan, Nov. 2016.


13. Zink R., Hunyadi B., Van Huffel S., De Vos M., "Alpha and low-beta oscillatory patterns extracted with Canonical Polyadic Decomposition relate to LDA classifier performance in real-life Mobile EEG", in Proc. of the 8th International Workshop on Biosignal Interpretation (BSI2016), Osaka, Japan, Nov. 2016.


14. Hunyadi B., Van Paesschen W., De Vos M., Van Huffel S., "Fusion of electroencephalography and functional magnetic resonance imaging to explore epileptic network activity", in Proc. of the European Signal Processing Conference (EUSIPCO), Budapest, Hungary, Aug. 2016, pp. 240-244.


15. Ansari A.H., Matic V., De Vos M., Naulaers G., Cherian P. J., Van Huffel S., "Improvement of an automated neonatal seizure detector using a post-processing technique", in Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE (EMBC 2015), Milan, Italy, Aug. 2015, 4 p.


16. Koolen N., Dereymaeker A., Räsänen O., Jansen K., Vervisch J., Matic V., De Vos M., Naulaers G., Van Huffel S., Vanhatalo S., "Data-driven metric representing the maturation of preterm EEG.", in Proc. of the 37th international conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015), Milan, Italy, Aug. 2015, pp. 1492-1495.


17. Zink R., Hunyadi B., Van Huffel S., De Vos M., "Classifying the Auditory P300 using mobile EEG recordings without calibration phase.", in Proc. of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society of the IEEE (EMBS), Milan, Italy, Aug. 2015, pp. 1777 - 1780.


18. Hunyadi B., De Vos M., Van Paesschen W., Van Huffel S., "Exploring the epileptic network with parallel ICA of interictal EEG-FMRI", in Proc. of the 22nd European Signal Processing Conference 2015 (EUSIPCO), Nice, France, Sep. 2015, pp. 429-433.


19. Zink R., Hunyadi B., Van Huffel S., De Vos M., "Exploring CPD based unsupervised classification for auditory BCI with mobile EEG.", in Proc. of the Neural Engineering, 2015 7th International IEEE/EMBS Conference on (NER), Montpellier, France, Apr. 2015, pp. 53 - 56.


20. Koolen N., Decroupet O., Dereymaeker A., Jansen K., Vervisch J., Matic V., Vanrumste B., Naulaers G., Van Huffel S., De Vos M., "Automated Respiration Detection from Neonatal Video Data", in Proc. of the 4th International Conference on Pattern Recognition Applications and Methods. (ICPRAM 2015), Lisbon, Portugal, Jan. 2015, pp. 164-169.


21. Billiet L., Hunyadi B., Matic V., Van Huffel S., Verleysen M., De Vos M., "Single trial classification in Mobile BCI - A multiway Kernel approach", in Proc. of the 8th International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS2015), Lisbon, Portugal, Jan. 2015, pp. 5-11.


22. Hunyadi B., Tousseyn S., Dupont P., Van Huffel S., Van Paesschen W., De Vos M., "Automatic selection of epileptic independent fMRI components", in Proc. of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2014), Chicago, United States, Aug. 2014, pp. 3853 - 3856.


23. Swinnen W., Hunyadi B., Acar E., Van Huffel S., De Vos M., "Incorporating Higher Dimensionality in Joint Decomposition of EEG and fMRI", in Proc. of the European Signal Processing Conference (EUSIPCO 2014), Lisbon, Portugal, Sep. 2014, pp. 121-125.


24. Koolen N., Dereymaeker A., Jansen K., Vervisch J., Matic V., De Vos M., Naulaers G., Van Huffel S., "Development of an interhemispheric symmetry measurement in the neonatal brain", in Proc. of the International Conference on Pattern Recognition Applications and Methods (ICPRAM 2014), Angers, France, Mar. 2014, pp. 765-770.


25. Mijovic B., Machilsen B., Hunyadi B., De Vos M., Wagemans J., Van Huffel S., "Comparison of correlation analysis and JointICA for simultaneous EEG-fMRI recordings on contour integration task", in Proc. of the 35th annual International conference of the IEEE EMBS (IEEE EMBS 2013), Osaka, Japan, Jul. 2013, pp. 6019-6022.


26. Peelman S., Van der Herten J., De Vos M., Lee W.S., Van Huffel S., Cuyt A., "Sparse reconstruction of correlated multichannel activity", in Proc. of the 35th annual International conference of the IEEE EMBS (IEEE EMBS 2013), Osaka, Japan, Jul. 2013, pp. 3897-3900.


27. De Vos M., Zink R., Hunyadi B., Mijovic B., Van Huffel S., Debener S., "The quest for single trial correlations in multimodal EEG-fMRI data", in Proc. of the 35th annual International conference of the IEEE EMBS (IEEE EMBS 2013), Osaka, Japan, Jul. 2013, pp. 6027-6030.


28. Hunyadi B., Signoretto M., Debener S., Van Huffel S., De Vos M., "Classification of structured EEG tensors using nuclear norm regularization: improving P300 classification", in Proc. of the International Workshop on Pattern Recognition in NeuroImaging (PRNI), Philadelphia, US, Jun. 2013, pp. 1-4.


29. Matic V., Cherian P.J, Jansen K., Koolen N., Naulaers G., Sware R.M., Govaert P., Visser G.H., Van Huffel S., De Vos M., "Automated EEG inter-burst interval detection in neonates with mild to moderate postasphyxial encephalopathy", in Proc. of the 34th Annual International Conference of the IEEE EMBS (IEEE-EMBS), San Diego, California USA, Aug. 2012, pp. 17-20.


30. Gligorijevic I., Sleutjes BTHM., De Vos M., Blok JH., Montfoort I., Mijović B., Signoretto M., Van Huffel S., "Correcting electrode displacement errors in motor unit tracking using high density surface electromyography (HDsEMG)", in Proc. of the 7th International Workshop on Biosignal Interpretation (BSI2012), Como, Italy, Jul. 2012, pp. 1-4.


31. Koolen N., Jansen K., Vervisch J., Matic V., De Vos M., Naulaers G., Van Huffel S., "Automatic Burst Detection based on Line Length in the Premature EEG", in Proc. of International Conference on bio-inspired systems and signal processing (BIOSIGNALS 2013), Barcelona, Spain, Feb. 2013, pp. 105-111.


32. Hunyadi B., Mijovic B., Tousseyn S., Dupont P., Van Paesschen W., Van Huffel S., De Vos M., "ICA component selection based on sparse activelet reconstruction for fMRI analysis in refractory focal epilepsy", in Proc. of the Pattern Recognition in NeuroImaging (PRNI), 2012 International Workshop on (PRNI), London, United Kingdom, Jul. 2012, pp. 21-24.


33. Liu Y., Gligorijevic I., Matic V., De Vos M., Van Huffel M., "Multi-Sparse Signal Recovery for Compressive Sensing", in Proc. of the 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC 2012), San Diego, USA, Aug. 2012, pp. 1-4.


34. Gligorijevic I., De Vos M., Blok J.H., Mijovic B., van Dijk J.P., Van Huffel S., "Automated way to obtain motor units? signatures and estimate their firing patterns during voluntary contractions using HD-sEMG", in Proc. of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBS Boston), Boston, Massachusetts, Aug. 2011, pp. 4090-4093.


35. Mijovic B., De Vos M., Matic V., Van Huffel S., "Independent Component Analysis as a Preprocessing step for Data Compression of Neonatal EEG", in Proc. of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC ?11). (IEEE-EMBC), Boston, Massachusetts, Aug. 2011.


36. Hunyadi B., De Vos M., Signoretto M., Suykens J.A.K., Van Paesschen W., Van Huffel S., "Automatic Seizure Detection Incorporating Structural Information", in Proc. of the 21st International Conference on Artificial Neural Networks, LNCS 6791 (ICANN 2011), Espoo, Finland, Jun. 2011, pp. 233-240.


37. Hunyadi B., De Vos M., Van Paesschen W., Van Huffel S., "A mimicking approach for human epileptic seizure detection", in Proc. of the International Biosignal Processing Conference, Berlin, Germany, Jul. 2010, pp. 1-4.


38. Vanderperren K., De Vos M., Mijovic B., Ramautar J.R., Novitskiy N., Vanrumste B., Stiers P., Van den Bergh B.R.H., Wagemans J., Lagae L., Sunaert S., Van Huffel S., "PARAFAC on ERP data from a visual detection task during simultaneous fMRI acquisition", in Proc. of the International Biosignal Processing Conference., Berlin, Germany, Jul. 2010, pp. 103:1-4.


39. Mijovic B., De Vos M., Gligorijevic I., Van Huffel S., "Combining EMD with ICA for Extracting Independent Sources from Single Channel and Two-Channel Data", in Proc. of the 32nd Annual International Conference of the IEEE EMBS (EMBC 2010), Buenos Aires, Argentina, Aug.-Sep. 2010, pp. 5387-5390.


40. De Tollenaere J., Deburchgraeve W., De Vos M., Van Huffel S., "New Approaches for the Adaptive Segmentation of Neonatal EEG Signals.", in Proc. of the4th Annual symposium of the IEEE-EMBS Benelux Chapter (IEEE-EMBS), Twente, The Netherlands, Nov. 2009, pp. 141-144.


41. Deburchgraeve W., Cherian P.J., De Vos M., Swarte R.M., Blok J.H., Visser G.H., Govaert P., Van Huffel S., "Exploration of the CP decomposition combined with SVD analysis for neonatal oscillatory seizure localization", in Proc. of the Biosignal Interpretation Conference (BSI), New Haven, USA, Jun. 2009, pp. 1-4.


42. Vanderperren K., Hunyadi B., De Vos M., Mennes M., Wouters H., Vanrumste B., Stiers P., Lagae L., Van Huffel S., "Reduction of alpha distortion in event related potentials", in Proc. of the 4th European Medical and Biomedical Engineering congress (eMBEC), Antwerp, Belgium, Nov. 2008, pp. 1298-1301.


43. De Vos M., De Lathauwer L., Van Paesschen W., Van Huffel S., "Canonical Decomposition of scalp EEG in epileptic seizure localisation", in Proc. of the Asilomar conference on signals, systems and computers; invited paper (asilomar), Asilomar, California, Nov. 2007, pp. 403-407.


44. Vanderperren K., Ramautar J., Novitski N., De Vos M., Mennes M., Vanrumste B., Stiers P., Van den Bergh B., Wagemans J., Lagae L., Sunaert S., Van Huffel S., "Study of ballistocardiogram artifacts in simultaneous EEG-fMRI acquisitions", in Proc. of the Neuromath Workshop, Advanced Methods for the Estimation of Human Brain Activity and Connectivity (Neuromath), Rome, Italy, Dec. 2007, pp. 121-122.


45. De Vos M., De Lathauwer L., Van Huffel S., "Second order algorithm for imposing independence constraints to the CP model", in Proc. of the IEEE International Symposium on Circuits and Systems (ISCAS 08), Seattle, United States, May 2008, pp. 1344-1347.


46. De Vos M., De Lathauwer L., Vanrumste B., Deburchgraeve W., Van Paesschen W and Van Huffel S., "Canonical Decomposition of scalp EEG as preprocessing for source localisation", in Proc. of the the 6th International Symposium on Noninvasive Functional Source Imaging of the Brain (nfsi 07), Hangzhou, China, Oct. 2007, pp. 377-400.


47. Deburchgraeve W., Cherian P.J., De Vos M., Swarte R.M., Blok J.H., Visser G.H., Govaert P., Van Huffel S., "Automated neonatal spike train detection as part of a neonatal seizure detection system", in IEEE Proceedings 2007 Joint Meeting of the 6th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging (NFSI), Hangzhou, China, Oct. 2007, pp. 237-240.


48. De Vos M., De Lathauwer L., Van Huffel S., "Imposing independence constraints in the CP model", in Proc. of the 7th international conference on independent component analysis (ICA 07), London, England, Sep. 2007, pp. --.


49. Hallez H., De Vos M., Phlypo R., Vanrumste B., Van Hese P., DÁsseler Y., Van Paesschen W., Van Huffel S. and Lemahieu I., "Can dipole modelling be improved by removing muscular and ocular artifacts from ictal scalp EEG?", in Proc. of the EMBC neural engineering conference, Kohala Coast, Hawaii, May 2007, pp. 252-255.


50. De Vos M., De Lathauwer L., Vergult A. De Clercq W., Van Paesschen W., Van Huffel S., "Jacobi iterations for spatially constrained Independent Component Analysis", in Proc. of the 7th international conference on methematics in signal processing (IMA 2007), Cirencester, England, Dec. 2007, pp. 38-41.

National Conference Papers

1. Deburchgraeve W., Vanrumste B., Vergult A., De Vos M., Van Paesschen W., Van Huffel S., "Automatic detection and localization of epilepsy in the electroencephalogram", in Belgian Day on Biomedical Engineering - IEEE/EMBS Benelux Symposium, Brussels, Belgium, Dec. 2006, pp. 321-324.


2. De Vos M., De Lathauwer L., Vergult A., De Clercq W., Van Paesschen W., Van Huffel S., "Spatially Constrained Independent Component Analysis for real-time eye artifact removal from the electroencephalogram", in Proc. of the first Annual Symposium of the IEEE/EMBS Benelux Chapter. (IEEE EMBS), Brussel, Belgium, Dec. 2006, pp. 159-163.


3. Vergult A., De Vos M., LeVan P., . Gotman J., Van Huffel S., "Automatic muscle artifact removal as a preprocessing technique for seizure detection", in Proc. of the The first Annual Symposium of the IEEE/EMBS Benelux Chapter. (IEEE EMBS), Brussel, Belgium, Dec. 2006, on cdrom p.

Ph.D.-theses

1. De Vos M., Decomposition methods with applications in neuroscience, PhD thesis, Faculty of Engineering, KU Leuven (Leuven, Belgium), Dec. 2009, 219 p.

Internal Reports

1. Cao Z., Seeuws N., De Vos M., Bertrand A., "A Novel Loss for Change Point Detection Models with Time-invariant Representations", Internal Report 23-67, ESAT-SISTA, KU Leuven (Leuven, Belgium), 2023. Accepted for publication in IEEE Signal Processing Letters.


2. Cao Z., Seeuws N., De Vos M., Bertrand A., "A Semi-supervised Interactive Algorithm for Change Point Detection", Internal Report 23-14, ESAT-SISTA, KU Leuven (Leuven, Belgium), 2023. Accepted for publication in data mining and knowledge discovery.


3. Hermans T., Smets L., Lemmens K., Dereymaeker A., Jansen K., Naulaers G., Zappasodi F., Van Huffel S., Comani S., De Vos M., "A multi-task and multi-channel convolutional neural network for semi-supervised neonatal artefact detection", Internal Report 23-04, ESAT-SISTA, KU Leuven (Leuven, Belgium), 2023. Accepted for publication in Journal of Neural Engineering.


4. Brophy E., De Vos M., Boylan G., Wart T., "Estimation of Continuous Blood Pressure from PPG via a Federated Learning Approach", Internal Report 21-62, ESAT-SISTA, KU Leuven (Leuven, Belgium), 2021. Accepted for publication in arXiv, 2102, 12245, 2021.