| 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 | 246 | 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 | 194 | 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 | 141 | 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 | 106 | 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 | 61 | 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 | 39 | 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 | 27 | 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 | 22 | 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 | 20 | 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 | 11 | 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 | 9 | 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 | 9 | 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 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 |
| A novel fully automated liver and HCC tumor segmentation system using morphological operations L Ali, A Hussain, J Li, N Howard, AA Shah, U Sudhakar, MA Shah, ... Advances in Brain Inspired Cognitive Systems: 8th International Conference …, 2016 | 4 | 2016 |
Prof Amir HussainSchool of Computing, Edinburgh Napier University, Scotland, UKBestätigte E-Mail-Adresse bei napier.ac.uk
