| Automated sleep stage identification system based on time–frequency analysis of a single EEG channel and random forest classifier L Fraiwan, K Lweesy, N Khasawneh, H Wenz, H Dickhaus Computer methods and programs in biomedicine 108 (1), 10-19, 2012 | 544 | 2012 |
| Convolutional and recurrent neural networks for the detection of valvular heart diseases in phonocardiogram recordings M Alkhodari, L Fraiwan Computer Methods and Programs in Biomedicine 200, 105940, 2021 | 169 | 2021 |
| A wireless home safety gas leakage detection system L Fraiwan, K Lweesy, A Bani-Salma, N Mani 2011 1st Middle East Conference on Biomedical Engineering, 11-14, 2011 | 161 | 2011 |
| A convolutional neural network for the screening and staging of diabetic retinopathy M Shaban, Z Ogur, A Mahmoud, A Switala, A Shalaby, H Abu Khalifeh, ... Plos one 15 (6), e0233514, 2020 | 135 | 2020 |
| Diabetic foot ulcer mobile detection system using smart phone thermal camera: a feasibility study L Fraiwan, M AlKhodari, J Ninan, B Mustafa, A Saleh, M Ghazal Biomedical engineering online 16, 1-19, 2017 | 110 | 2017 |
| Classification of sleep stages using multi-wavelet time frequency entropy and LDA L Fraiwan, K Lweesy, N Khasawneh, M Fraiwan, H Wenz, H Dickhaus Methods of information in Medicine 49 (03), 230-237, 2010 | 107 | 2010 |
| A generalized deep learning-based diagnostic system for early diagnosis of various types of pulmonary nodules A Shaffie, A Soliman, L Fraiwan, M Ghazal, F Taher, N Dunlap, B Wang, ... Technology in cancer research & treatment 17, 1533033818798800, 2018 | 92 | 2018 |
| Recognition of pulmonary diseases from lung sounds using convolutional neural networks and long short-term memory M Fraiwan, L Fraiwan, M Alkhodari, O Hassanin Journal of Ambient Intelligence and Humanized Computing, 1-13, 2022 | 91 | 2022 |
| A dataset of lung sounds recorded from the chest wall using an electronic stethoscope M Fraiwan, L Fraiwan, B Khassawneh, A Ibnian Data in Brief 35, 106913, 2021 | 89 | 2021 |
| Automatic identification of respiratory diseases from stethoscopic lung sound signals using ensemble classifiers L Fraiwan, O Hassanin, M Fraiwan, B Khassawneh, AM Ibnian, ... Biocybernetics and Biomedical Engineering 41 (1), 1-14, 2021 | 86 | 2021 |
| Parkinson’s disease hand tremor detection system for mobile application L Fraiwan, R Khnouf, AR Mashagbeh Journal of medical engineering & technology 40 (3), 127-134, 2016 | 72 | 2016 |
| Detection of COVID-19 from chest x-ray images using deep convolutional neural networks N Khasawneh, M Fraiwan, L Fraiwan, B Khassawneh, A Ibnian Sensors 21 (17), 5940, 2021 | 67 | 2021 |
| Using deep transfer learning to detect scoliosis and spondylolisthesis from X-ray images M Fraiwan, Z Audat, L Fraiwan, T Manasreh Plos one 17 (5), e0267851, 2022 | 65 | 2022 |
| A comprehensive framework for differentiating autism spectrum disorder from neurotypicals by fusing structural MRI and resting state functional MRI O Dekhil, M Ali, R Haweel, Y Elnakib, M Ghazal, H Hajjdiab, L Fraiwan, ... Seminars in pediatric neurology 34, 100805, 2020 | 64 | 2020 |
| A novel MRA framework based on integrated global and local analysis for accurate segmentation of the cerebral vascular system H Kandil, A Soliman, L Fraiwan, A Shalaby, A Mahmoud, A ElTanboly, ... 2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018 …, 2018 | 58 | 2018 |
| Automatic sleep stage scoring with wavelet packets based on single EEG recording L Fraiwan, N Khaswaneh, K Lweesy World Academy of Science, Engineering and Technology 54, 485-488, 2009 | 58 | 2009 |
| Neonatal sleep state identification using deep learning autoencoders L Fraiwan, K Lweesy 2017 IEEE 13th International Colloquium on Signal Processing & its …, 2017 | 51 | 2017 |
| Classification of focal and non-focal epileptic patients using single channel EEG and long short-term memory learning system L Fraiwan, M Alkhodari IEEE Access 8, 77255-77262, 2020 | 48 | 2020 |
| Time frequency analysis for automated sleep stage identification in fullterm and preterm neonates L Fraiwan, K Lweesy, N Khasawneh, M Fraiwan, H Wenz, H Dickhaus Journal of medical systems 35, 693-702, 2011 | 47 | 2011 |
| Mobile application for ulcer detection L Fraiwan, J Ninan, M Al-Khodari The open biomedical engineering journal 12, 16, 2018 | 37 | 2018 |
Khaldon LweesyAbu Dhabi Universityایمیل تأیید شده در adu.ac.ae