| The applicability of Greulich and Pyle atlas to assess skeletal age for four ethnic groups M Mansourvar, MA Ismail, RG Raj, SA Kareem, S Aik, R Gunalan, ... Journal of forensic and legal medicine 22, 26-29, 2014 | 84 | 2014 |
| Predicting dropouts from an electronic health platform for lifestyle interventions: analysis of methods and predictors DH Pedersen, M Mansourvar, C Sortsø, T Schmidt Journal of medical Internet research 21 (9), e13617, 2019 | 70 | 2019 |
| Automated bone age assessment: motivation, taxonomies, and challenges M Mansourvar, MA Ismail, T Herawan, R Gopal Raj, S Abdul Kareem, ... Computational and mathematical methods in medicine 2013 (1), 391626, 2013 | 69 | 2013 |
| Web portal as a knowledge management system in the universities M Mansourvar, NM Yasin World Academy of Science, Engineering and Technology 70 (1), 968-974, 2010 | 50 | 2010 |
| Machine learning techniques for mortality prediction in emergency departments: a systematic review A Naemi, T Schmidt, M Mansourvar, M Naghavi-Behzad, A Ebrahimi, ... BMJ open 11 (11), e052663, 2021 | 34 | 2021 |
| Development of a job web portal to improve education quality M Mansourvar, NBM Yasin International Journal of Computer Theory and Engineering 6 (1), 43, 2014 | 33 | 2014 |
| AUTOMATED WEB BASED SYSTEM FOR BONE AGE ASSESSMENT USING HISTORAM TECHNIQUE M Mansourvar¹, RG Raj², MA Ismail3, SA Kareem, S Wahid, R Mahmud, ... Malaysian Journal of Computer Science 25, 2012 | 33 | 2012 |
| Short-term atrial fibrillation detection using electrocardiograms: A comparison of machine learning approaches MS Jahan, M Mansourvar, S Puthusserypady, UK Wiil, A Peimankar International Journal of Medical Informatics 163, 104790, 2022 | 29 | 2022 |
| An automated system for skeletal maturity assessment by extreme learning machines M Mansourvar, S Shamshirband, RG Raj, R Gunalan, I Mazinani PloS one 10 (9), e0138493, 2015 | 26 | 2015 |
| Estimation of tsunami bore forces on a coastal bridge using an extreme learning machine I Mazinani, ZB Ismail, S Shamshirband, AM Hashim, M Mansourvar, ... Entropy 18 (5), 167, 2016 | 21 | 2016 |
| A computer-based system to support intelligent forensic study M Mansourvar, MA Ismail, SA Kareem, RG Raj, FH Nassaruddin, ... 2012 Fourth International Conference on Computational Intelligence …, 2012 | 20 | 2012 |
| Quantifying the impact of addressing data challenges in prediction of length of stay A Naemi, T Schmidt, M Mansourvar, A Ebrahimi, UK Wiil BMC Medical Informatics and Decision Making 21, 1-13, 2021 | 17 | 2021 |
| Predicting the risk of alcohol use disorder using machine learning: a systematic literature review A Ebrahimi, UK Wiil, T Schmidt, A Naemi, AS Nielsen, GM Shaikh, ... IEEE Access 9, 151697-151712, 2021 | 17 | 2021 |
| Google trends and seasonal effects in infodemiology: A use case about obesity A Basteris, M Mansourvar, U Kock Wiil The Importance of Health Informatics in Public Health during a Pandemic, 245-248, 2020 | 16 | 2020 |
| A fuzzy inference system for skeletal age assessment in living individual M Mansourvar, A Asemi, RG Raj, SA Kareem, CD Antony, N Idris, ... International Journal of Fuzzy Systems 19, 838-848, 2017 | 14 | 2017 |
| Cross-cultural bayesian network analysis of factors affecting residents’ concerns about the spread of an infectious disease caused by tourism FK Glückstad, UK Wiil, M Mansourvar, PT Andersen Frontiers in Psychology 12, 635110, 2021 | 10 | 2021 |
| Prediction of patients severity at emergency department using NARX and ensemble learning A Naemi, M Mansourvar, T Schmidt, UK Wiil 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 10 | 2020 |
| A predictive machine learning model to determine alcohol use disorder A Ebrahimi, UK Wiil, K Andersen, M Mansourvar, AS Nielsen 2020 IEEE Symposium on Computers and Communications (ISCC), 1-7, 2020 | 9 | 2020 |
| Personalized predictive models for identifying clinical deterioration using LSTM in emergency departments A Naemi, T Schmidt, M Mansourvar, UK Wiil Integrated Citizen Centered Digital Health and Social Care, 152-156, 2020 | 8 | 2020 |
| Deep neural network to identify patients with alcohol use disorder A Ebrahimi, UK Wiil, M Mansourvar, A Naemi, K Andersen, AS Nielsen Public Health and Informatics, 238-242, 2021 | 6 | 2021 |