| Characterizing Absence Epileptic Seizures from Depth Cortical Measurements S Akhavan, R Phlypo, H Soltanian-Zadeh, F Studer, A Depaulis, C Jutten 2017 25th European Signal Processing Conference (EUSIPCO), 444-448, 2017 | 10 | 2017 |
| Deep learning aided multi-source passive 3D AOA wireless positioning using a moving receiver: A low complexity approach A Fadakar, A Mansourian, S Akhavan Ad Hoc Networks 154, 103382, 2024 | 9 | 2024 |
| Dictionary learning for sparse representation of signals with hidden Markov model dependency S Akhavan, F Baghestani, P Kazemi, A Karami, H Soltanian-Zadeh Digital Signal Processing 123, 103420, 2022 | 9 | 2022 |
| Direction of Arrival Estimation Using Array of Antennas for Low-Altitude Targets in Multi-Path Environment S Akhavan, MA Bahabadi, Y Norouzi, H Lolaee IET Radar, Sonar & Navigation 10 (8), 1439-1445, 2016 | 8 | 2016 |
| Deep learning based 2D-DOA estimation using L-shaped arrays A Fadakar, A Jafari, P Tavana, R Jahani, S Akhavan Journal of the Franklin Institute 361 (6), 106743, 2024 | 7 | 2024 |
| Images Steganalysis Using GARCH Model for Feature Selection S Akhavan, MA Akhaee, S Sarreshtedari Signal Processing: Image Communication 39, 75-83, 2015 | 6 | 2015 |
| SUM: Saliency Unification through Mamba for Visual Attention Modeling A Hosseini, A Kazerouni, S Akhavan, M Brudno, B Taati arXiv preprint arXiv:2406.17815, 2024 | 5 | 2024 |
| Sparsity based multi-source robust 3D localization using a moving receiver A Mansourian, A Fadakar, S Akhavan arXiv preprint arXiv:2408.06274, 2024 | 3 | 2024 |
| Static and dynamic modeling of absence epileptic seizures using depth recordings S Akhavan, R Phlypo, H Soltanian-Zadeh, M Kamarei, C Jutten Latent Variable Analysis and Signal Separation: 14th International …, 2018 | 3 | 2018 |
| Topology Tracking of Static and Dynamic Networks Based on Structural Equation Models S Akhavan, H Soltanian-Zadeh Artificial Intelligence and Signal Processing Conference (AISP), 2017, 107-112, 2017 | 3 | 2017 |
| Blind separation of sparse sources from nonlinear mixtures S Akhavan, H Soltanian-Zadeh Digital Signal Processing 118, 103220, 2021 | 2 | 2021 |
| Learning overcomplete dictionaries from markovian data S Akhavan, S Esmaeili, M Babaie-Zadeh, H Soltanian-Zadeh 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM …, 2018 | 2 | 2018 |
| Geometry‐based solution of joint diagonalisation in blind source separation S Akhavan, S Esmaeili, H Soltanian‐Zadeh IET Signal Processing 13 (9), 755-765, 2019 | 1 | 2019 |
| A dictionary learning approach for spatio-temporal characterization of absence seizures S Akhavan, R Phlypo, H Soltanian-Zadeh, M Kamarei, C Jutten Physiological Measurement 40 (10), 105008, 2019 | 1 | 2019 |
| Multichannel Blind Deconvolution Via Maximum Likelihood Estimator: Application in Neural Recordings S Akhavan, S Esmaeili, M Kamarei, H Soltanian-Zadeh Inverse Problems, 2018 | 1 | 2018 |
| Geometrical Interpretation of Joint Diagonalization S Akhavan, S Esmaeili, M Kamarei, H Soltanian-Zadeh 2018 25th National and 3nd International Iranian Conference on Biomedical …, 2018 | 1 | 2018 |
| A numerical investigation of melting PCMs in thermal storage systems S Akhavan, A Zarei, E Izadpanah 2nd International Biennial Oil, Gas and Petrochemical Conference, 2018 | 1 | 2018 |
| Enhanced K-SVD Based Approach for Multi-Source 3D Localization with a Mobile Receiver A Mansourian, A Fadakar, S Akhavan 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall), 1-5, 2024 | | 2024 |
| Localization Using Convolutional Neural Networks with Mobile Array A Fadakar, A Mansourian, S Akhavan 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall), 1-5, 2024 | | 2024 |
| Multi-Source 2D-AOA Estimation via Deep Learning A Fadakar, A Jafari, S Akhavan 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall), 1-5, 2024 | | 2024 |
Hamid Soltanian-ZadehSenior Scientist, Henry Ford Hospital, Professor, University of Tehran,Verified email at ut.ac.ir
