![]() | Up a level |
This graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
Use the mouse wheel or scroll gestures to zoom into the graph.
You can click on the nodes and links to highlight them and move the nodes by dragging them.
Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
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