| Extraction and automatic grouping of joint and individual sources in multisubject fMRI data using higher order cumulants M Pakravan, MB Shamsollahi IEEE journal of biomedical and health informatics 23 (2), 744-757, 2018 | 9 | 2018 |
| Significant pathological voice discrimination by computing posterior distribution of balanced accuracy M Pakravan, M Jahed Biomedical Signal Processing and Control 73, 103410, 2022 | 4 | 2022 |
| Coordinated multivoxel coding beyond univariate effects is not likely to be observable in fMRI data M Pakravan, M Abbaszadeh, A Ghazizadeh NeuroImage 247, 118825, 2022 | 3 | 2022 |
| Joint, partially-joint, and individual independent component analysis in multi-subject fMRI data M Pakravan, MB Shamsollahi IEEE Transactions on Biomedical Engineering 67 (7), 1969-1981, 2019 | 3 | 2019 |
| Bibliometric Analysis of research trends on Graph Neural Networks M Alavi, A Valiollahi, M Pakravan 2024 20th CSI International Symposium on Artificial Intelligence and Signal …, 2024 | | 2024 |
| Spatial and temporal joint, partially-joint and individual sources in independent component analysis: Application to social brain fMRI dataset M Pakravan, MB Shamsollahi Journal of Neuroscience Methods 329, 108453, 2020 | | 2020 |
Mohammad B. SHAMSOLLAHISharif University of Technology, Tehran, IranVerified email at sharif.edu
