| Text line segmentation for challenging handwritten document images using fully convolutional network B Barakat, A Droby, M Kassis, J El-Sana 2018 16th International Conference on Frontiers in Handwriting Recognition …, 2018 | 66 | 2018 |
| Vml-hd: The historical arabic documents dataset for recognition systems M Kassis, A Abdalhaleem, A Droby, R Alaasam, J El-Sana 2017 1st international workshop on Arabic script analysis and recognition …, 2017 | 44 | 2017 |
| Learning-free text line segmentation for historical handwritten documents B Kurar Barakat, R Cohen, A Droby, I Rabaev, J El-Sana Applied Sciences 10 (22), 8276, 2020 | 21 | 2020 |
| Unsupervised deep learning for text line segmentation BK Barakat, A Droby, R Alaasam, B Madi, I Rabaev, R Shammes, ... 2020 25th International Conference on Pattern Recognition (ICPR), 2304-2311, 2021 | 18 | 2021 |
| Text line extraction in historical documents using Mask R-CNN A Droby, B Kurar Barakat, R Alaasam, B Madi, I Rabaev, J El-Sana Signals 3 (3), 535-549, 2022 | 17 | 2022 |
| Unsupervised deep learning for handwritten page segmentation A Droby, BK Barakat, B Madi, R Alaasam, J El-Sana 2020 17th International Conference on Frontiers in Handwriting Recognition …, 2020 | 15 | 2020 |
| ContourCNN: convolutional neural network for contour data classification A Droby, J El-Sana 2021 International Conference on Electrical, Computer, Communications and …, 2021 | 7 | 2021 |
| Text line extraction using fully convolutional network and energy minimization BK Barakat, A Droby, R Alaasam, B Madi, I Rabaev, J El-Sana Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | 7 | 2021 |
| Unsupervised learning of text line segmentation by differentiating coarse patterns B Kurar Barakat, A Droby, R Saabni, J El-Sana Document Analysis and Recognition–ICDAR 2021: 16th International Conference …, 2021 | 7 | 2021 |
| Unsupervised text line segmentation BK Barakat, A Droby, R Alasam, B Madi, I Rabaev, R Shammes, ... preprint, 2020 | 7 | 2020 |
| Understanding unsupervised deep learning for text line segmentation A Droby, B Kurar Barakat, R Saabni, R Alaasam, B Madi, J El-Sana Applied Sciences 12 (19), 9528, 2022 | 6 | 2022 |
| Digital Hebrew Paleography: Script Types and Modes A Droby, I Rabaev, DV Shapira, B Kurar Barakat, J El-Sana Journal of Imaging 8 (5), 143, 2022 | 6 | 2022 |
| HST-GAN: Historical style transfer GAN for generating historical text images B Madi, R Alaasam, A Droby, J El-Sana International Workshop on Document Analysis Systems, 523-537, 2022 | 6 | 2022 |
| VML-HP: Hebrew paleography dataset A Droby, B Kurar Barakat, D Vasyutinsky Shapira, I Rabaev, J El-Sana Document Analysis and Recognition–ICDAR 2021: 16th International Conference …, 2021 | 5 | 2021 |
| Unsupervised deep learning for text line segmentation B Kurar Barakat, A Droby, R Alasam, B Madi, I Rabaev, R Shammes, ... arXiv e-prints, arXiv: 2003.08632, 2020 | 4 | 2020 |
| Textline alignment on the image domain B Madi, A Droby, J El-Sana International Journal on Document Analysis and Recognition (IJDAR) 25 (4 …, 2022 | 3 | 2022 |
| Text line extraction using fully convolutional network and energy minimization B Kurar Barakat, A Droby, R Alaasam, B Madi, I Rabaev, J El-Sana arXiv e-prints, arXiv: 2101.07370, 2021 | 3 | 2021 |
| Hard and Soft Labeling for Hebrew Paleography: A Case Study A Droby, DV Shapira, I Rabaev, BK Barakat, J El-Sana International Workshop on Document Analysis Systems, 492-506, 2022 | 2 | 2022 |
| Is a deep learning algorithm effective for the classification of medieval Hebrew scripts? DV Shapira, I Rabaev, A Droby, BK Barakat, J El-Sana Studies in Digital History and Hermeneutics, 349, 2022 | 1 | 2022 |
| Deep learning for paleographic analysis of medieval Hebrew manuscripts: a DH team collaboration experience. DV Shapira, I Rabaev, BK Barakat, A Droby, J El-Sana TwinTalks@ DH/DHN, 84-92, 2020 | 1 | 2020 |
