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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). External link
Damseh, R., Delafontaine-Martel, P., James-Marchand, P., Sirpal, P., Cheriet, F., & Lesage, F. (2020, July). Automated Analysis of Brain Microvasculature: From Segmentation to Anatomical Modeling [Paper]. 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC 2020), Montréal, Qc, Canada. External link
Guevara, E., Sirpal, P., Abran, M., Pouliot, P., Lesage, F., Jin, C., Londono, I., & Lodygensky, G. A. (2015, June). White matter injury in a newborn rat model analyzed with Resting-State Optical Imaging of Intrinsic Signals (rsOIS) [Paper]. Photonics North 2015, Ottawa, ON, Canada. 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
Sirpal, P. (2020). Leveraging Artificial Intelligence to Improve EEG-fNIRS Data Analysis [Ph.D. thesis, Polytechnique Montréal]. Available
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). Available