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Flores-Castro, A., Peng, K., Nguyen, D. K., Lesage, F., Pouliot, P., Rosas-Romero, R., & Guevara, E. (2017, February). Detecting epileptic seizures in advance using optical and electrical recordings [Paper]. 27th International Conference on Electronics, Communications and Computers (CONIELECOMP 2017), Puebla, Mexico (4 pages). External link
Guevara, E., Flores-Castro, J.-A., Peng, K., Nguyen, D. K., Lesage, F., Pouliot, P., & Rosas-Romero, R. (2020). Prediction of epileptic seizures using fNIRS and machine learning. Journal of Intelligent & Fuzzy Systems, 38(2), 2055-2068. External link
Kassab, A., Toffa, D. H., Robert, M., Chassé, M., Lesage, F., Peng, K., & Nguyen, D. K. (2024). Cortical hemodynamics of electrographic status epilepticus in the critically ill. Epilepsia, 18224 (15 pages). Available
Kassab, A., Toffa, D. H., Robert, M., Lesage, F., Peng, K., & Nguyen, D. K. (2021). Hemodynamic changes associated with common EEG patterns in critically ill patients: Pilot results from continuous EEG-fNIRS study. Neuroimage-Clinical, 32, 102880 (18 pages). External link
Laurence, A., Toffa, D. H., Peng, K., Robert, M., Bouthillier, A., Nguyen, D. K., & Leblond, F. (2022). Multispectral intraoperative imaging for the detection of the hemodynamic response to interictal epileptiform discharges. Biomedical Optics Express, 13(12), 6245-6257. External link
Laurence, A., Peng, K., Toffa, D., Robert, M., Lesage, F., Bouthillier, A., Nguyen, D. K., & Leblond, F. (2020, April). Localization of epileptic activity based on hemodynamics using an intraoperative hyperspectral imaging system [Paper]. Clinical and Translational Biophotonics, Washington, D.C.. External link
Mohammadi, H., Vincent, T., Peng, K., Nigam, A., Gayda, M., Fraser, S., Joanette, Y., Lesage, F., & Bherer, L. (2021). Coronary artery disease and its impact on the pulsatile brain: A functional NIRS study. Human Brain Mapping, 42(12), 3760-3776. External link
Mohammadi, H., Peng, K., Kassab, A., Nigam, A., Bherer, L., Lesage, F., & Joanette, Y. (2021). Cortical Thinning is Associated with Brain Pulsatility in Older Adults: An MRI and NIRS Study. Neurobiology of Aging, 106, 103-118. External link
Peng, K., Moussavi, Z., Karunakaran, K. D., Borsook, D., Lesage, F., & Nguyen, D. K. (2024). iVR-fNIRS: studying brain functions in a fully immersive virtual environment. Neurophotonics, 11(2), 020601 (27 pages). Available
Peng, K. (2016). Study of the Hemodynamic Response to Interictal Epileptiform Discharges in Human Epilepsy Using Functional Near Infrared Spectroscopy [Ph.D. thesis, École Polytechnique de Montréal]. Available
Peng, K., Pouliot, P., Lesage, F., & Nguyen, D. K. (2016). Multichannel continuous electroencephalography-functional near-infrared spectroscopy recording of focal seizures and interictal epileptiform discharges in human epilepsy: A review. Neurophotonics, 3(3), 12 pages. External link
Peng, K., Nguyen, D. K., Vannasing, P., Tremblay, J., Lesage, F., & Pouliot, P. (2016). Using patient-specific hemodynamic response function in epileptic spike analysis of human epilepsy: a study based on EEG-fNIRS. NeuroImage, 126, 239-255. External link
Peng, K., Nguyen, D. K., Tayah, T., Vannasing, P., Tremblay, J., Sawan, M., Lassonde, M., Lesage, F., & Pouliot, P. (2014). fNIRS-EEG study of focal interictal epileptiform discharges. Epilepsy Research, 108(3), 491-505. External link
Peng, K. (2011). Design and Implementation of a Fuzzy Controller for Steering Microparticles Inside Blood Vessels by Using a MRI System [Master's thesis, École Polytechnique de Montréal]. Available
Peng, K., & Martel, S. (2011, August). Preliminary design of a SIMO fuzzy controller for steering microparticles inside blood vessels by using a magnetic resonance imaging system [Paper]. 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011), Boston, MA, USA. External link
Rosas-Romero, R., Guevara, E., Peng, K., Nguyen, D. K., Lesage, F., Pouliot, P., & Lima-Saad, W.-E. (2019). Prediction of epileptic seizures with convolutional neural networks and functional near-infrared spectroscopy signals. Computers in Biology and Medicine, 111, 10 pages. External link
Sirpal, P., Damseh, R., Peng, K., Nguyen, D. K., & Lesage, F. (2022). Multimodal autoencoder predicts fNIRS resting state from EEG signals. Neuroinformatics, 2021(3), 537-558. Available
