ד"ר אירינה רבייב

Edelman, V., Chassidim, H., & Rabaev, I. (2025). Reducing Patient Movement During Magnetic Resonance Imaging: A Case Study. Electronics, 14(4), 668.

Boyev, A., Rabaev, I., Cohen, N. et al. Using a Video Visual Scene Display Application to Improve Communication for Individuals with Autism Disorder. J Dev Phys Disabil 37, 199–215 (2025).

Kogan, G., Chassidim, H. & Rabaev, I. The efficacy of animation and visualization in teaching data structures: a case study. Education Tech Research Dev 72, 2349–2372 (2024).

Ezra, D., Mastitz, S., & Rabaev, I. (2024). Signsability: Enhancing Communication through a Sign Language App. Software, 3(3), 368-379.

Droby, A.; Kurar Barakat, B.; Alaasam, R.; Madi, B.; Rabaev, I.; El-Sana, J. Text Line Extraction in Historical Documents Using Mask R-CNN. Signals 2022, 3, 535-549.

Rabaev, I.; Alkoran, I.; Wattad, O.; Litvak, M. Automatic Gender and Age Classification from Offline Handwriting with Bilinear ResNet. Sensors 2022, 22, 9650.

Rabaev, I., Litvak, M. Automated gender classification from handwriting: a systematic survey. Appl Intell (2022).

Litvak, M.; Divekar, S.; Rabaev, I. Urban Plants Classification Using Deep-Learning Methodology: A Case Study on a New Dataset. Signals 2022, 3, 524-534.

Droby, A.; Rabaev, I.; Shapira, D.V.; Kurar Barakat, B.; El-Sana, J. Digital Hebrew Paleography: Script Types and Modes. J. Imaging 2022, 8, 143.

Droby, A., Shapira, D.V., Rabaev, I., Barakat, B.K., El-Sana, J. (2022). Hard and Soft Labeling for Hebrew Paleography: A Case Study. In: Uchida, S., Barney, E., Eglin, V. (eds) Document Analysis Systems. DAS 2022. Lecture Notes in Computer Science, vol 13237. Springer, Cham.

Rabaev I., Litvak M., Asulin S., Tabibi O.H. (2021) Automatic Gender Classification from Handwritten Images: A Case Study. In: Tsapatsoulis N., Panayides A., Theocharides T., Lanitis A., Pattichis C., Vento M. (eds) Computer Analysis of Images and Patterns. CAIP 2021. Lecture Notes in Computer Science, vol 13053. Springer, Cham.

B. K. Barakat et al., "Unsupervised deep learning for text line segmentation," 2020 25th International Conference on Pattern Recognition (ICPR), 2021, pp. 2304-2311

Kurar Barakat, B.; Cohen, R.; Droby, A.; Rabaev, I.; El-Sana, J. Learning-Free Text Line Segmentation for Historical Handwritten Documents. Appl. Sci. 2020, 10, 8276.

B. Kurar Barakat, J. El-Sana and I. Rabaev, "The Pinkas Dataset," 2019 International Conference on Document Analysis and Recognition (ICDAR), 2019, pp. 732-737

O. Biller, I. Rabaev, K. Kedem, I. Dinstein, J. El-Sana. Evolution maps and applications. PeerJ Computer Science 2:e39, 2016.

I. Rabaev, K. Kedem, and J. El-Sana. Keyword retrieval using scale - space pyramid. In the 12th IAPR International Workshop on Document Analysis Systems (DAS), pages 144-149, 2016

I. Rabaev, R.Cohen, J. El-Sana and K. Kedem, Aligning Transcript of Historical Documents using Dynamic Programming. Proc. SPIE 9402, Document Recognition and Retrieval XXII, 94020I doi:10.1117/12.2076062, 2015

R.Cohen, I. Rabaev, J. El-Sana and K. Kedem, Aligning transcript of historical documents using energy minimization. In the 13th International Conference on Document Analysis and Recognition (ICDAR), pages 266-270, 2015.

I. Rabaev, I. Dinstein, J. El-Sana and K. Kedem, Segmentation-free Keyword Retrieval in Historical Document Images. In the International Conference on Image Analysis and Recognition (ICIAR), Springer Lecture Notes in Computer Science series, pages 369 – 378, 2014