| A 3D deep learning model to predict the diagnosis of dementia with Lewy bodies, Alzheimer’s disease, and mild cognitive impairment using brain 18F-FDG PET K Etminani, A Soliman, A Davidsson, JR Chang, B Martínez-Sanchis, ... European journal of nuclear medicine and molecular imaging 49 (2), 563-584, 2022 | 96 | 2022 |
| Graph neural networks for clinical risk prediction based on electronic health records: A survey. HO Boll, A Amirahmadi, MM Ghazani, WO de Morais, EP de Freitas, ... J. Biomed. Informatics 151, 104616, 2024 | 58 | 2024 |
| Cas2vec: Network-agnostic cascade prediction in online social networks ZT Kefato, N Sheikh, L Bahri, A Soliman, A Montresor, S Girdzijauskas 2018 Fifth international conference on social networks analysis, management …, 2018 | 27 | 2018 |
| Decentralized and Adaptive K-Means Clustering for Non-IID Data Using HyperLogLog Counters A Soliman, S Girdzijauskas, MR Bouguelia, S Pashami, S Nowaczyk Pacific-Asia conference on knowledge discovery and data mining, 343-355, 2020 | 23 | 2020 |
| Evaluation of synthetic electronic health records: a systematic review and experimental assessment E Budu, K Etminani, A Soliman, T Rögnvaldsson Neurocomputing 603, 128253, 2024 | 17 | 2024 |
| AdaGraph: Adaptive graph-based algorithms for spam detection in social networks A Soliman, S Girdzijauskas International Conference on Networked Systems, 338-354, 2017 | 16 | 2017 |
| Diva: Decentralized identity validation for social networks A Soliman, L Bahri, B Carminati, E Ferrari, S Girdzijauskas Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015 | 16 | 2015 |
| Adopting transfer learning for neuroimaging: a comparative analysis with a custom 3D convolution neural network model A Soliman, JR Chang, K Etminani, S Byttner, A Davidsson, ... BMC medical informatics and decision making 22 (Suppl 6), 318, 2022 | 14 | 2022 |
| The price of explainability in machine learning models for 100-day readmission prediction in heart failure: retrospective, comparative, machine learning study A Soliman, B Agvall, K Etminani, O Hamed, M Lingman Journal of Medical Internet Research 25, e46934, 2023 | 11 | 2023 |
| Time-series anonymization of tabular health data using generative adversarial network AS Hashemi, K Etminani, A Soliman, O Hamed, J Lundström 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 10 | 2023 |
| Domain expertise–agnostic feature selection for the analysis of breast cancer data S Pozzoli, A Soliman, L Bahri, RM Branca, S Girdzijauskas, M Brambilla Artificial Intelligence in Medicine 108, 101928, 2020 | 10 | 2020 |
| CADIVa: cooperative and adaptive decentralized identity validation model for social networks A Soliman, L Bahri, S Girdzijauskas, B Carminati, E Ferrari Social Network Analysis and Mining 6 (1), 36, 2016 | 10 | 2016 |
| Adaptive graph-based algorithms for spam detection in social networks A Soliman, S Girdzijauskas KTH Royal Institute of Technology, 2016 | 9 | 2016 |
| Graph Neural Networks for Heart Failure Prediction on an EHR-Based Patient Similarity Graph HO Boll, A Amirahmadi, A Soliman, S Byttner, M Recamonde-Mendoza arXiv preprint arXiv:2411.19742, 2024 | 8 | 2024 |
| Dlsas: Distributed large-scale anti-spam framework for decentralized online social networks A Soliman, S Girdzijauskas 2016 IEEE 2nd International Conference on Collaboration and Internet …, 2016 | 7 | 2016 |
| Stad: Stateful diffusion for linear time community detection A Soliman, F Rahimian, S Girdzijauskas 2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018 | 5 | 2018 |
| Parallelizing the berlekamp-massey algorithm H Ali, M Ouyang, A Soliman, W Sheta International Journal of Computer Science and Information Security (IJCSIS …, 2015 | 5 | 2015 |
| Machine learning model for readmission prediction of patients with heart failure based on electronic health records: protocol for a quasi-experimental study for impact assessment M Nair, LE Lundgren, A Soliman, P Dryselius, E Fogelberg, M Petersson, ... JMIR Research Protocols 13 (1), e52744, 2024 | 4 | 2024 |
| Domain knowledge-driven generation of synthetic healthcare data AS Hashemi, A Soliman, J Lundström, K Etminani Caring is Sharing–Exploiting the Value in Data for Health and Innovation …, 2023 | 4 | 2023 |
| A framework for evaluating synthetic electronic health records E Budu, A Soliman, K Etminani, T Rögnvaldsson Caring is Sharing–Exploiting the Value in Data for Health and Innovation …, 2023 | 4 | 2023 |
Farzaneh EtminaniAssociate Professor in Machine Learning, Halmstad UniversityVerified email at hh.se
