| 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 | 224 | 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, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 160 | 2018 |
| Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging P Tang, Q Liang, X Yan, S Xiang, W Sun, D Zhang, G Coppola Computer methods and programs in biomedicine 178, 289-301, 2019 | 148 | 2019 |
| Monovit: Self-supervised monocular depth estimation with a vision transformer C Zhao, Y Zhang, M Poggi, F Tosi, X Guo, Z Zhu, G Huang, Y Tang, ... 2022 international conference on 3D vision (3DV), 668-678, 2022 | 100 | 2022 |
| Artificial neural network based breast cancer screening: a comprehensive review S Bharati, P Podder, M Mondal arXiv preprint arXiv:2006.01767, 2020 | 81 | 2020 |
| 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 | 81 | 2014 |
| Monocular depth estimation using deep learning: A review A Masoumian, HA Rashwan, J Cristiano, MS Asif, D Puig Sensors 22 (14), 5353, 2022 | 71 | 2022 |
| 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 | 68 | 2018 |
| 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 | 68 | 2015 |
| Fully automated breast density segmentation and classification using deep learning N Saffari, HA Rashwan, M Abdel-Nasser, V Kumar Singh, M Arenas, ... Diagnostics 10 (11), 988, 2020 | 67 | 2020 |
| Breast cancer masses classification using deep convolutional neural networks and transfer learning SA Hassan, MS Sayed, MI Abdalla, MA Rashwan Multimedia Tools and Applications 79 (41), 30735-30768, 2020 | 67 | 2020 |
| SLSNet: Skin lesion segmentation using a lightweight generative adversarial network MMK Sarker, HA Rashwan, F Akram, VK Singh, SF Banu, ... Expert Systems with Applications 183, 115433, 2021 | 62* | 2021 |
| 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, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 61 | 2018 |
| Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework VK Singh, M Abdel-Nasser, F Akram, HA Rashwan, MMK Sarker, ... Expert Systems with Applications 162, 113870, 2020 | 54 | 2020 |
| 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 | 53 | 2019 |
| 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 | 53 | 2015 |
| On improving security of GPT cryptosystems EM Gabidulin, H Rashwan, B Honary 2009 IEEE International Symposium on Information Theory, 1110-1114, 2009 | 51 | 2009 |
| Gcndepth: Self-supervised monocular depth estimation based on graph convolutional network A Masoumian, HA Rashwan, S Abdulwahab, J Cristiano, MS Asif, D Puig Neurocomputing 517, 81-92, 2023 | 49 | 2023 |
| Security of the GPT cryptosystem and its applications to cryptography H Rashwan, EM Gabidulin, B Honary Security and Communication Networks 4 (8), 937-946, 2011 | 45 | 2011 |
| Illumination robust optical flow model based on histogram of oriented gradients HA Rashwan, MA Mohamed, MA García, B Mertsching, D Puig Pattern Recognition: 35th German Conference, GCPR 2013, Saarbrücken, Germany …, 2013 | 43 | 2013 |
Domenec PuigFull Professor, University Rovira i VirgiliVerified email at urv.cat
