| Artificial intelligence–enabled analysis of public attitudes on facebook and twitter toward covid-19 vaccines in the united kingdom and the united states: Observational study A Hussain, A Tahir, Z Hussain, Z Sheikh, M Gogate, K Dashtipour, A Ali, ... Journal of medical Internet research 23 (4), e26627, 2021 | 255 | 2021 |
| Persistent neuropsychiatric symptoms after COVID-19: a systematic review and meta-analysis JB Badenoch, ER Rengasamy, C Watson, K Jansen, S Chakraborty, ... Brain communications 4 (1), fcab297, 2022 | 203 | 2022 |
| Neurology and neuropsychiatry of COVID-19: a systematic review and meta-analysis of the early literature reveals frequent CNS manifestations and key emerging narratives JP Rogers, CJ Watson, J Badenoch, B Cross, M Butler, J Song, D Hafeez, ... Journal of Neurology, Neurosurgery & Psychiatry 92 (9), 932-941, 2021 | 143 | 2021 |
| A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images C Ieracitano, N Mammone, M Versaci, G Varone, AR Ali, A Armentano, ... Neurocomputing 481, 202-215, 2022 | 112 | 2022 |
| Neurological and psychiatric presentations associated with human monkeypox virus infection: a systematic review and meta-analysis JB Badenoch, I Conti, ER Rengasamy, CJ Watson, M Butler, Z Hussain, ... EClinicalMedicine 52, 2022 | 63 | 2022 |
| Understanding public perceptions of COVID-19 contact tracing apps: Artificial intelligence–enabled social media analysis K Cresswell, A Tahir, Z Sheikh, Z Hussain, A Domínguez Hernández, ... Journal of medical Internet research 23 (5), e26618, 2021 | 40 | 2021 |
| A novel intelligent computational approach to model epidemiological trends and assess the impact of non-pharmacological interventions for COVID-19 J Ren, Y Yan, H Zhao, P Ma, J Zabalza, Z Hussain, S Luo, Q Dai, S Zhao, ... IEEE Journal of Biomedical and Health Informatics 24 (12), 3551-3563, 2020 | 28 | 2020 |
| Real-time artifacts reduction during TMS-EEG co-registration: a comprehensive review on technologies and procedures G Varone, Z Hussain, Z Sheikh, A Howard, W Boulila, M Mahmud, ... Sensors 21 (2), 637, 2021 | 23 | 2021 |
| Artificial intelligence–enabled social media analysis for pharmacovigilance of COVID-19 vaccinations in the United Kingdom: observational study Z Hussain, Z Sheikh, A Tahir, K Dashtipour, M Gogate, A Sheikh, ... JMIR Public Health and Surveillance 8 (5), e32543, 2022 | 21 | 2022 |
| Determination of morphine in human urine by a simple reverse phase high-performance liquid chromatography method with UV detection AB Ruzilawati, WNW Yusuf, N Ramli, Z Hussain, AHG Rasool International Journal of Pharmaceutical Sciences and Drug Research 5 (1), 18, 2013 | 20 | 2013 |
| Artificial intelligence-enabled analysis of UK and US public attitudes on Facebook and Twitter towards COVID-19 vaccinations A Hussain, A Tahir, Z Hussain, Z Sheikh, M Gogate, K Dashtipour, A Ali, ... medRxiv, 2020.12. 08.20246231, 2020 | 18 | 2020 |
| Machine learning based computer-aided diagnosis of liver tumours L Ali, K Khelil, SK Wajid, ZU Hussain, MA Shah, A Howard, A Adeel, ... 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive …, 2017 | 18 | 2017 |
| & Sheikh A Hussain, A Tahir, Z Hussain A., Artificial intelligence–enabled analysis of public attitudes on facebook …, 2021 | 15 | 2021 |
| Industry ties and evidence in public comments on the FDA framework for modifications to artificial intelligence/machine learning-based medical devices: a cross sectional study JA Smith, RE Abhari, Z Hussain, C Heneghan, GS Collins, AJ Carr BMJ open 10 (10), e039969, 2020 | 12 | 2020 |
| A qualitative framing analysis of how firearm manufacturers and related bodies communicate to the public on gun-related harms and solutions Z Hussain, MCI van Schalkwyk, S Galea, M Petticrew, N Maani Preventive medicine 166, 107346, 2023 | 10 | 2023 |
| Effectiveness of virtual and augmented reality for improving knowledge and skills in medical students: protocol for a systematic review Z Hussain, DM Ng, N Alnafisee, Z Sheikh, N Ng, A Khan, A Hussain, ... BMJ open 11 (8), e047004, 2021 | 10 | 2021 |
| Predicting the risk of asthma attacks in children, adolescents and adults: protocol for a machine learning algorithm derived from a primary care-based retrospective cohort Z Hussain, SA Shah, M Mukherjee, A Sheikh BMJ open 10 (7), e036099, 2020 | 10 | 2020 |
| Artificial intelligence-enabled analysis of UK and US public attitudes on Facebook and Twitter towards COVID-19 vaccinations (preprint) A Hussain, A Tahir, Z Hussain, Z Sheikh, M Gogate, K Dashtipour, A Ali, ... | 7 | 2020 |
| A novel end-to-end deep convolutional neural network based skin lesion classification framework R Sulthana, V Chamola, Z Hussain, F Albalwy, A Hussain Expert Systems with Applications 246, 123056, 2024 | 4 | 2024 |
| A comparison of machine learning approaches for predicting the progression of crohn’s disease ZU Hussain, R Comerford, F Comerford, N Ng, D Ng, A Khan, C Lees, ... 2020 IEEE Student Conference on Research and Development (SCOReD), 529-533, 2020 | 4 | 2020 |
Prof Amir HussainSchool of Computing, Edinburgh Napier University, Scotland, UK在 napier.ac.uk 的电子邮件经过验证
Prof Amir HussainSchool of Computing, Edinburgh Napier University, Scotland, UK在 napier.ac.uk 的电子邮件经过验证
Syed Ahmar ShahUniversity of Edinburgh在 ed.ac.uk 的电子邮件经过验证