| Deep learning applications for IoT in health care: A systematic review H Bolhasani, M Mohseni, AM Rahmani Informatics in Medicine Unlocked, 2021 | 103 | 2021 |
| A histopathological image dataset for grading breast invasive ductal carcinomas H Bolhasani, E Amjadi, M Tabatabaeian, SJ Jassbi Informatics in Medicine Unlocked 19 (100341), 2020 | 67 | 2020 |
| Depression Diagnosis by Deep Learning Using EEG Signals: A Systematic Review A Safayari, H Bolhasani Medicine in Novel Technology and Devices 12 (https://doi.org/10.1016/j …, 2021 | 45 | 2021 |
| Deep learning accelerators: a case study with MAESTRO H Bolhasani, SJ Jassbi Journal of Big Data 7 (https://doi.org/10.1186/s40537-020-00377), 2020 | 9 | 2020 |
| An Introduction to Quantum Computers Architecture H Bolhasani, AM Rahmani | 5 | 2019 |
| An introduction to quantum computers H Bolhasani, AM Rahmani AIRCC Publications, 2019 | 3 | 2019 |
| DLA-E: a deep learning accelerator for endoscopic images classification H Bolhasani, SJ Jassbi, A Sharifi Journal of Big Data 10 (1), 76, 2023 | 2 | 2023 |
| HRCTCov19-a high-resolution chest CT scan image dataset for COVID-19 diagnosis and differentiation I Abedi, M Vali, B Otroshi, M Zamanian, H Bolhasani BMC Research Notes 17 (1), 32, 2024 | 1 | 2024 |
| DLA-H: A Deep Learning Accelerator for Histopathologic Image Classification H Bolhasani, SJ Jassbi, A Sharifi Journal of Digital Imaging 36 (2), 433-440, 2023 | 1 | 2023 |
| Deep neural networks accelerators with focus on tensor processors H Bolhasani, M Marandinejad Microprocessors and Microsystems 105, 105005, 2024 | | 2024 |
| CHMMOTv1 - cardiac and hepatic multi-echo (T2*) MRI images and clinical dataset for Iron overload on thalassemia patients I Abedi, M Zamanian, H Bolhasani, M Jalilian BMC Research Notes 16 (1), 339, 2023 | | 2023 |
| A Review on the Applications of Machine Learning for Tinnitus Diagnosis Using EEG Signals F Ramezani, H Bolhasani arXiv preprint arXiv:2310.18795, 2023 | | 2023 |
| Alzheimers Disease Diagnosis by Deep Learning Using MRI-Based Approaches S Foroughipoor, K Moradi, H Bolhasani arXiv preprint arXiv:2310.17755, 2023 | | 2023 |
| Deep Learning Techniques for Cervical Cancer Diagnosis based on Pathology and Colposcopy Images H Ahmadzadeh Sarhangi, D Beigifard, E Farmani, H Bolhasani arXiv e-prints, arXiv: 2310.16662, 2023 | | 2023 |
| CRC-ICM: Colorectal Cancer Immune Cell Markers Pattern Dataset Z Mokhtari, E Amjadi, H Bolhasani, Z Faghih, AR Dehghanian, M Rezaei arXiv preprint arXiv:2308.10033, 2023 | | 2023 |
| Gastrointestinal Mucosal Problems Classification with Deep Learning M Goharian, V Goharian, H Bolhasani arXiv preprint arXiv:2307.16198, 2023 | | 2023 |
| ERCPMP: An Endoscopic Image and Video Dataset for Colorectal Polyps Morphology and Pathology M Forootan, M Rajabnia, AR Mafi, HA Tehrani, E Ghadirzadeh, ... arXiv preprint arXiv:2307.15444, 2023 | | 2023 |
| A Survey on the Role of Artificial Intelligence in the Prediction and Diagnosis of Schizophrenia N Ramesh, Y Ghodsi, H Bolhasani arXiv preprint arXiv:2305.14370, 2023 | | 2023 |
| Photonic Neural Networks: A Compact Review M Ahmadi, H Bolhasani arXiv preprint arXiv:2302.08390, 2023 | | 2023 |
| A High-Resolution Chest CT-Scan Image Dataset for COVID-19 Diagnosis and Differentiation I Abedi, M Vali, BO Shahreza, H Bolhasani arXiv 3408 (https://arxiv.org/abs/2205.03408), 2022 | | 2022 |
