| Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network VK Singh, HA Rashwan, S Romani, F Akram, N Pandey, MMK Sarker, ... Expert Systems with Applications 139, 112855, 2020 | 72 | 2020 |
| SLSDeep: Skin lesion segmentation based on dilated residual and pyramid pooling networks MMK Sarker, HA Rashwan, F Akram, SF Banu, A Saleh, VK Singh, ... International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 69 | 2018 |
| Illumination-robust optical flow using a local directional pattern MA Mohamed, HA Rashwan, B Mertsching, MA García, D Puig IEEE Transactions on Circuits and Systems for Video Technology 24 (9), 1499-1508, 2014 | 65 | 2014 |
| Online and distributed bayesian moment matching for parameter learning in sum-product networks A Rashwan, H Zhao, P Poupart Artificial Intelligence and Statistics, 1469-1477, 2016 | 51 | 2016 |
| Analysis of tissue abnormality and breast density in mammographic images using a uniform local directional pattern M Abdel-Nasser, HA Rashwan, D Puig, A Moreno Expert Systems with Applications 42 (24), 9499-9511, 2015 | 51 | 2015 |
| On improving security of GPT cryptosystems EM Gabidulin, H Rashwan, B Honary 2009 IEEE International Symposium on Information Theory, 1110-1114, 2009 | 41 | 2009 |
| Illumination robust optical flow model based on histogram of oriented gradients HA Rashwan, MA Mohamed, MA García, B Mertsching, D Puig German Conference on Pattern Recognition, 354-363, 2013 | 40 | 2013 |
| Deep learning framework with confused sub-set resolution architecture for automatic Arabic diacritization MAA Rashwan, AA Al Sallab, HM Raafat, A Rafea IEEE/ACM Transactions on Audio, Speech, And Language Processing 23 (3), 505-516, 2015 | 39 | 2015 |
| Conditional generative adversarial and convolutional networks for X-ray breast mass segmentation and shape classification VK Singh, S Romani, HA Rashwan, F Akram, N Pandey, MMK Sarker, ... International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 34 | 2018 |
| BSCGAN: Deep Background Subtraction with Conditional Generative Adversarial Networks MC Bakkay, HA Rashwan, H Salmane, L Khoudour, D Puigtt, Y Ruichek 2018 25th IEEE International Conference on Image Processing (ICIP), 4018-4022, 2018 | 27 | 2018 |
| Variational optical flow estimation based on stick tensor voting HA Rashwan, MA Garcia, D Puig IEEE transactions on image processing 22 (7), 2589-2599, 2013 | 27 | 2013 |
| Online algorithms for sum-product networks with continuous variables P Jaini, A Rashwan, H Zhao, Y Liu, E Banijamali, Z Chen, P Poupart Conference on Probabilistic Graphical Models, 228-239, 2016 | 25 | 2016 |
| Understanding trust in privacy-aware video surveillance systems HA Rashwan, A Solanas, D Puig, A Martínez-Ballesté International Journal of Information Security 15 (3), 225-234, 2016 | 22 | 2016 |
| Retinal Optic Disc Segmentation Using Conditional Generative Adversarial Network. VK Singh, HA Rashwan, F Akram, N Pandey, MMK Sarker, A Saleh, ... CCIA, 373-380, 2018 | 19 | 2018 |
| Towards a trustworthy privacy in pervasive video surveillance systems. APF Antoni Martínez-Ballesté, Hatem A. Rashwan PerCom, 914-919, 2012 | 19* | 2012 |
| Automatic Arabic spelling errors detection and correction based on confusion matrix-noisy channel hybrid system HM Noaman, SS Sarhan, M Rashwan Egypt Comput Sci J 40 (2), 2016, 2016 | 17 | 2016 |
| Arabic OCR system analogous to HMM-based ASR systems; implementation and evaluation MA Rashwan, MW Fakhr, M Attia, MS El-Mahallawy JOURNAL OF ENGINEERING AND APPLIED SCIENCE-CAIRO- 54 (6), 653, 2007 | 17 | 2007 |
| FCA-net: Adversarial learning for skin lesion segmentation based on multi-scale features and factorized channel attention VK Singh, M Abdel-Nasser, HA Rashwan, F Akram, N Pandey, A Lalande, ... IEEE Access 7, 130552-130565, 2019 | 16 | 2019 |
| Improving the robustness of variational optical flow through tensor voting HA Rashwan, D Puig, MA Garcia Computer Vision and Image Understanding 116 (9), 953-966, 2012 | 15 | 2012 |
| Automatic detection of individual and touching moths from trap images by combining contour-based and region-based segmentation MC Bakkay, S Chambon, HA Rashwan, C Lubat, S Barsotti IET Computer Vision 12 (2), 138-145, 2018 | 13 | 2018 |
Domenec PuigFull Professor, Rovira i Virgili UniversityVerified email at urv.cat
