| CoroNet: a deep network architecture for enhanced identification of COVID-19 from chest X-ray images C Agarwal, S Khobahi, D Schonfeld, M Soltanalian Medical Imaging 2021: Computer-Aided Diagnosis 11597, 484-490, 2021 | 102* | 2021 |
| Deep signal recovery with one-bit quantization S Khobahi, N Naimipour, M Soltanalian, YC Eldar ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 73 | 2019 |
| Model-based deep learning for one-bit compressive sensing S Khobahi, M Soltanalian IEEE Transactions on Signal Processing 68, 5292-5307, 2020 | 59* | 2020 |
| LoRD-Net: Unfolded deep detection network with low-resolution receivers S Khobahi, N Shlezinger, M Soltanalian, YC Eldar IEEE Transactions on Signal Processing 69, 5651-5664, 2021 | 48 | 2021 |
| Efficient waveform covariance matrix design and antenna selection for MIMO radar A Bose, S Khobahi, M Soltanalian Signal Processing 183, 107985, 2021 | 32 | 2021 |
| Signal recovery from 1-bit quantized noisy samples via adaptive thresholding S Khobahi, M Soltanalian 2018 52nd Asilomar Conference on Signals, Systems, and Computers, 1757-1761, 2018 | 29 | 2018 |
| UPR: A model-driven architecture for deep phase retrieval N Naimipour, S Khobahi, M Soltanalian 2020 54th Asilomar Conference on Signals, Systems, and Computers, 205-209, 2020 | 28 | 2020 |
| Deep-url: A model-aware approach to blind deconvolution based on deep unfolded richardson-lucy network C Agarwal, S Khobahi, A Bose, M Soltanalian, D Schonfeld 2020 IEEE international conference on image processing (ICIP), 3299-3303, 2020 | 24 | 2020 |
| Optimized transmission for parameter estimation in wireless sensor networks S Khobahi, M Soltanalian, F Jiang, AL Swindlehurst IEEE Transactions on Signal and Information Processing over Networks 6, 35-47, 2019 | 22 | 2019 |
| Deep radar waveform design for efficient automotive radar sensing S Khobahi, A Bose, M Soltanalian 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM …, 2020 | 21 | 2020 |
| Unfolded algorithms for deep phase retrieval N Naimipour, S Khobahi, M Soltanalian arXiv preprint arXiv:2012.11102, 2020 | 14 | 2020 |
| Joint optimization of waveform covariance matrix and antenna selection for MIMO radar A Bose, S Khobahi, M Soltanalian 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 1534-1538, 2019 | 9 | 2019 |
| A majorization–minimization approach for reducing out-of-band radiations in OFDM systems MM Naghsh, EHM Alian, S Khobahi, O Rezaei IEEE Communications Letters 21 (8), 1739-1742, 2017 | 9 | 2017 |
| One-bit compressive sensing: Can we go deep and blind? Y Zeng, S Khobahi, M Soltanalian IEEE Signal Processing Letters 29, 1629-1633, 2022 | 7 | 2022 |
| Optimized transmission for consensus in wireless sensor networks S Khobahi, M Soltanalian 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 7 | 2018 |
| Model-inspired deep detection with low-resolution receivers S Khobahi, N Shlezinger, M Soltanalian, YC Eldar 2021 IEEE International Symposium on Information Theory (ISIT), 3349-3354, 2021 | 6 | 2021 |
| Deep-RLS: A model-inspired deep learning approach to nonlinear PCA Z Esmaeilbeig, S Khobahi, M Soltanalian arXiv preprint arXiv:2011.07458, 2020 | 6 | 2020 |
| Guaranteed deep learning for reliable radar signal processing S Khobahi, A Mostajeran, M Emadi, P Wang, M Soltanalian 2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop (SAM …, 2022 | 5 | 2022 |
| Deep one-bit compressive autoencoding S Khobahi, A Bose, M Soltanalian 2021 IEEE Statistical Signal Processing Workshop (SSP), 371-375, 2021 | 5 | 2021 |
| System and method for high resolution beamforming for coherent targets M Emadi, S KHOBAHI, A Mostajeran US Patent App. 18/357,755, 2025 | | 2025 |
Mojtaba SoltanalianAssociate Professor of Electrical and Computer Engineering, UICPatvirtintas el. paštas uic.edu