| Lung cancer detection by using artificial neural network and fuzzy clustering methods F Taher, R Sammouda 2011 IEEE GCC conference and exhibition (GCC), 295-298, 2011 | 164 | 2011 |
| An optimized approach for prostate image segmentation using K‐Means clustering algorithm with elbow method R Sammouda, A El-Zaart Computational Intelligence and Neuroscience 2021 (1), 4553832, 2021 | 69 | 2021 |
| Agriculture satellite image segmentation using a modified artificial Hopfield neural network R Sammouda, N Adgaba, A Touir, A Al-Ghamdi Computers in Human Behavior 30, 436-441, 2014 | 69 | 2014 |
| Anti-spoofing cloud-based multi-spectral biometric identification system for enterprise security and privacy-preservation A Gumaei, R Sammouda, AMS Al-Salman, A Alsanad Journal of Parallel and Distributed Computing 124, 27-40, 2019 | 65 | 2019 |
| Two modified Otsu image segmentation methods based on Lognormal and Gamma distribution models DH AlSaeed, A Bouridane, A ElZaart, R Sammouda 2012 International Conference on Information Technology and e-Services, 1-5, 2012 | 50 | 2012 |
| A comparison of Hopfield neural network and Boltzmann machine in segmenting MR images of the brain R Sammouda, N Niki, H Nishitani IEEE Transactions on Nuclear Science 43 (6), 3361-3369, 1996 | 50 | 1996 |
| An improved multispectral palmprint recognition system using autoencoder with regularized extreme learning machine A Gumaei, R Sammouda, AMS Al-Salman, A Alsanad Computational intelligence and neuroscience 2018 (1), 8041609, 2018 | 40 | 2018 |
| Feature selection with ensemble learning for prostate cancer diagnosis from microarray gene expression A Gumaei, R Sammouda, M Al-Rakhami, H AlSalman, A El-Zaart Health Informatics Journal 27 (1), 1460458221989402, 2021 | 36 | 2021 |
| An effective palmprint recognition approach for visible and multispectral sensor images A Gumaei, R Sammouda, AM Al-Salman, A Alsanad Sensors 18 (5), 1575, 2018 | 36 | 2018 |
| Identification of lung cancer based on shape and color F Taher, R Sammouda 2007 Innovations in Information Technologies (IIT), 481-485, 2007 | 36 | 2007 |
| Segmentation of sputum color image for lung cancer diagnosis based on neural networks R Sammouda, N Niki, H Nishitani, E Kyokage IEICE transactions on information and systems 81 (8), 862-871, 1998 | 30 | 1998 |
| Mobile blind navigation system using RFID R Sammouda, A Alrjoub 2015 Global Summit on Computer & Information Technology (GSCIT), 1-4, 2015 | 27 | 2015 |
| Segmentation and analysis of CT chest images for early lung cancer detection R Sammouda 2016 Global Summit on Computer & Information Technology (GSCIT), 120-126, 2016 | 24 | 2016 |
| Segmentation of brain MR images based on neural networks R SAMMOUDA, N NIKI, H NISHITANI IEICE TRANSACTIONS on Information and Systems 79 (4), 349-356, 1996 | 18 | 1996 |
| Comparison between K mean and fuzzy C-mean methods for segmentation of near infrared fluorescent image for diagnosing prostate cancer R Sammouda, H Aboalsamh, F Saeed International Conference on Computer Vision and Image Analysis Applications, 1-6, 2015 | 17 | 2015 |
| CT image analysis for early detection of lung cancer R Sammouda, J Hassan, M Sammouda International Journal of Innovative Computing, Information and Control 4 (11 …, 2008 | 16 | 2008 |
| Morphology analysis of sputum color images for early lung cancer diagnosis F Taher, R Sammouda 10th International Conference on Information Science, Signal Processing and …, 2010 | 14 | 2010 |
| Hopfield neural network for the multichannel segmentation of magnetic resonance cerebral images R Sammouda, N Niki, H Nishitani Pattern recognition 30 (6), 921-927, 1997 | 14 | 1997 |
| Improving the performance of Hopfield neural network to segment pathological liver color images R Sammouda, M Sammouda International Congress Series 1256, 232-239, 2003 | 13 | 2003 |
| An efficient image denoising method for wireless multimedia sensor networks based on DT-CWT R Sammouda, AMS Al-Salman, A Gumaei, N Tagoug International Journal of Distributed Sensor Networks 11 (11), 632568, 2015 | 12 | 2015 |
