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Bonizzato, M., Guay Hottin, R., Côté, S. L., Massai, E., Choinière, L., Macar, U., Laferrière, S., Sirpal, P., Quessy, S., Lajoie, G., Martinez, M., & Dancause, N. (2023). Autonomous optimization of neuroprosthetic stimulation parameters that drive the motor cortex and spinal cord outputs in rats and monkeys. Cell Reports Medicine, 4(4), 101008 (24 pages). Lien externe
Damseh, R., Delafontaine-Martel, P., James-Marchand, P., Sirpal, P., Cheriet, F., & Lesage, F. (juillet 2020). Automated Analysis of Brain Microvasculature: From Segmentation to Anatomical Modeling [Communication écrite]. 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC 2020), Montréal, Qc, Canada. Lien externe
Guevara, E., Sirpal, P., Abran, M., Pouliot, P., Lesage, F., Jin, C., Londono, I., & Lodygensky, G. A. (juin 2015). White matter injury in a newborn rat model analyzed with Resting-State Optical Imaging of Intrinsic Signals (rsOIS) [Communication écrite]. Photonics North 2015, Ottawa, ON, Canada. Lien externe
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. Disponible
Sirpal, P. (2020). Leveraging Artificial Intelligence to Improve EEG-fNIRS Data Analysis [Thèse de doctorat, Polytechnique Montréal]. Disponible
Sirpal, P., Kassab, A., Pouliot, P., Nguyen, D. K., & Lesage, F. (2019). fNIRS improves seizure detection in multimodal EEG-fNIRS recordings. Journal of Biomedical Optics, 24(5), 051408 (9 pages). Disponible
