| DENSA: An effective negative selection algorithm with flexible boundaries for self-space and dynamic number of detectors S Fouladvand, A Osareh, B Shadgar, M Pavone, S Sharafi Engineering Applications of Artificial Intelligence 62, 359-372, 2017 | 44 | 2017 |
| Ganai: Standardizing ct images using generative adversarial network with alternative improvement G Liang, S Fouladvand, J Zhang, MA Brooks, N Jacobs, J Chen 2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-11, 2019 | 39 | 2019 |
| Application of pattern recognition in detection of buried archaeological sites based on analysing environmental variables, Khorramabad Plain, West Iran S Sharafi, S Fouladvand, I Simpson, JAB Alvarez Journal of Archaeological Science: Reports 8, 206-215, 2016 | 36 | 2016 |
| Deep learning prediction of mild cognitive impairment using electronic health records S Fouladvand, MM Mielke, M Vassilaki, JS Sauver, RC Petersen, S Sohn 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 29 | 2019 |
| Distribution estimation based negative selection algorithm (DENSA) S Fouladvand, A Osareh, B Shadgar 2015 International Workshop on Artificial Immune Systems (AIS), 1-7, 2015 | 14 | 2015 |
| High-throughput target trial emulation for Alzheimer’s disease drug repurposing with real-world data C Zang, H Zhang, J Xu, H Zhang, S Fouladvand, S Havaldar, F Cheng, ... Nature communications 14 (1), 8180, 2023 | 11 | 2023 |
| Predicting substance use disorder using long-term attention deficit hyperactivity disorder medication records in Truven S Fouladvand, ER Hankosky, H Bush, J Chen, LP Dwoskin, PR Freeman, ... Health informatics journal 26 (2), 787-802, 2020 | 11 | 2020 |
| T cells dominate peripheral inflammation in a cross-sectional analysis of obesity-associated diabetes GH Pugh, S Fouladvand, S SantaCruz-Calvo, M Agrawal, XD Zhang, ... Obesity, 2022 | 10 | 2022 |
| Integrating Data Science into the Translational Science Research Spectrum: A Substance Use Disorder Case Study E Slade, LP Dwoskin, GQ Zhang, JC Talbert, J Chen, PR Freeman, ... Journal of Clinical and Translational Science, 1-22, 2020 | 7 | 2020 |
| The ChatGPT therapist will see you now: Navigating generative artificial intelligence's potential in addiction medicine research and patient care S Tate, S Fouladvand, JH Chen, CYA Chen Addiction 118 (12), 2249-2251, 2023 | 6 | 2023 |
| High-throughput clinical trial emulation with real world data and machine learning: a case study of drug repurposing for Alzheimer’s disease C Zang, H Zhang, J Xu, H Zhang, S Fouladvand, S Havaldar, F Cheng, ... medRxiv, 2022.01. 31.22270132, 2022 | 5 | 2022 |
| Identifying opioid use disorder from longitudinal healthcare data using a multi-stream transformer S Fouladvand, J Talbert, LP Dwoskin, H Bush, AL Meadows, LE Peterson, ... AMIA Annual Symposium Proceedings 2021, 476, 2021 | 5 | 2021 |
| Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning S Fouladvand, FR Gomez, H Nilforoshan, M Schwede, M Noshad, O Jee, ... Journal of Biomedical Informatics 143, 104407, 2023 | 4 | 2023 |
| A comparative effectiveness study on opioid use disorder prediction using artificial intelligence and existing risk models S Fouladvand, J Talbert, LP Dwoskin, H Bush, AL Meadows, LE Peterson, ... IEEE Journal of Biomedical and Health Informatics 27 (7), 3589-3598, 2023 | 4 | 2023 |
| Mild Cognitive Impairment: Data-Driven Prediction, Risk Factors, and Workup S Fouladvand, M Noshad, MK Goldstein, VJ Periyakoil, JH Chen AMIA Summits on Translational Science Proceedings 2023, 167, 2023 | 4 | 2023 |
| A modified neuro-evolutionary algorithm for mobile robot navigation: Using fuzzy systems and combination of artificial neural networks S Fouladvand, S Salavati, P Masajedi, A Ghanbarzadeh International Journal of Knowledge-based and Intelligent Engineering Systems …, 2015 | 4 | 2015 |
| Session Introduction: Artificial Intelligence in Clinical Medicine: Generative and Interactive Systems at the Human-Machine Interface S Fouladvand, E Pierson, I Jankovic, D Ouyang, JH Chen, R Daneshjou PACIFIC SYMPOSIUM ON BIOCOMPUTING 2024, 1-7, 2023 | 3 | 2023 |
| Predicting Substance Use Disorder in ADHD Patients using Long-Short Term Memory Model S Fouladvand, ER Hankosky, DW Henderson, H Bush, J Chen, ... 2018 IEEE international conference on healthcare informatics workshop (ICHI …, 2018 | 3 | 2018 |
| Machine learning prediction of mild cognitive impairment and its progression to Alzheimer's disease S Fouladvand, M Noshad, VJ Periyakoil, JH Chen Health Science Reports 6 (10), e1438, 2023 | 2 | 2023 |
| Leveraging Artificial Intelligence to Predict Health Belief Model and COVID-19 Vaccine Uptake Using Survey Text from US Nurses S Omranian, A Khoddam, C Campos-Castillo, S Fouladvand, S McRoy, ... Behavioral Sciences 14 (3), 217, 2024 | 1 | 2024 |
Jin ChenDepartment of Medicine, Department of Biomedical Informatics, University of Alabama at Birmingham在 uab.edu 的电子邮件经过验证
