Publications

Highlighted Publications

Nature Methods 2025 First Author Under Review
A. Attarpour, M. Raffiee, T. Xu, J. Osmann, S. Patel, F. Yu, B. Au, A. Clappison, M. Biparva, R. Zhu, A. Crow, B. Gharagoz, M. Rozak, I. Aubert, J. McLaurin, K. Deisseroth, et al.
Nature Methods 2025 First Author
A. Attarpour, J. Osmann, A. Rinaldi, T. Qi, N. Lal, S. Patel, M. Rozak, F. Yu, N. Cho, J. Squari, J. McLaurin, M. Raffiee, K. Deisseroth, L. Ye, B. Stefanovic, M. Goubran
arXiv 2026 Foundation Model
A. Munim, A. Fallahpour, T. Szasz, A. Attarpour, R. Jiang, B. Sooriyakanthan, et al.
Cell 2026
Z. Pang, V.H. Leung, C.C. Wang, A. Attarpour, A. Rinaldi, H. Shen, et al.
eLife 2026
A deep learning pipeline for mapping in situ network-level neurovascular coupling in multi-photon fluorescence microscopy
M.W. Rozak, J.R. Mester, A. Attarpour, A. Dorr, S. Patel, M. Koletar, M.E. Hill, et al.
Human Brain Mapping 2021 First Author 45 citations
A. Attarpour, J. Ward, J.J. Chen
Physics in Medicine & Biology 2019 Equal First Author 36 citations
F. Karimi*, A. Attarpour*, R. Amirfattahi, A. Zeidabadinezhad  (*equal contribution)
Biomedical Signal Processing and Control 2019 First Author 50 citations
A. Attarpour, A. Mahnam, A. Aminitabar, H. Samani

Conference Presentations

IGT × ImNO Joint Symposium Mar. 2025 Toronto, Canada
A deep learning pipeline for 3D brain-wide mapping of local neuronal ensembles
SFN Conference Oct. 2024 Chicago, US Poster
An end-to-end deep learning pipeline for 3D mapping of laminar neuronal activity in light sheet data
UBC Tissue Clearing & Expansion Workshop May. 2024 Vancouver, Canada Keynote
ACE — AI-based Cartography of Ensembles
SFN Conference Nov. 2023 Washington, US Nanosymposium
A deep learning pipeline for 3D mapping of neuronal activity in tera-voxel light sheet microscopy data
VAST Conference May. 2023 Montreal, Canada
A deep learning network for 3D segmentation of neurons in tera-voxel light sheet fluorescence microscopy
ISMRM May. 2021 Online
Vascular origins of low-frequency oscillations in the CSF in resting-state fMRI: interpretation using photoplethysmography