Saleh, Alzayat, Sheaves, Marcus, Jerry, Dean, and Rahimi Azghadi, Mostafa (2024) Applications of deep learning in fish habitat monitoring: A tutorial and survey. Expert Systems with Applications, 238. 121841.

Saleh, Alzayat, Sheaves, Marcus, Jerry, Dean, and Rahimi Azghadi, Mostafa (2024) How to track and segment fish without human annotations: a self-supervised deep learning approach. Pattern Analysis and Applications, 27. 4.

Saleh, Alzayat, Hasan, Md Mehedi, Raadsma, Herman W., Khatkar, Mehar S., Jerry, Dean, and Rahimi Azghadi, Mostafa (2024) Prawn Morphometrics and Weight Estimation from Images using Deep Learning for Landmark Localization. Aquacultural Engineering, 106. 102391.

Saleh, Alzayat, Olsen, Alex, Wood, Jake, Philippa, Bronson, and Rahimi Azghadi, Mostafa (2024) WeedCLR: Weed contrastive learning through visual representations with class-optimized loss in long-tailed datasets. Computers and Electronics in Agriculture, 227. 109526.

Saleh, Alzayat, Jones, David, Jerry, Dean, and Azghadi, Mostafa Rahimi (2023) MFLD-net: a lightweight deep learning network for fish morphometry using landmark detection. Aquatic Ecology, 57. pp. 913-931.

Saleh, Alzayat (2023) Novel deep learning architectures for marine and aquaculture applications. PhD thesis, James Cook University.

Saleh, Alzayat, Sheaves, Marcus, and Rahimi Azghadi, Mostafa (2022) Computer vision and deep learning for fish classification in underwater habitats: A survey. Fish and Fisheries, 23 (4). pp. 977-999.

Laradji, Issam H., Saleh, Alzayat, Rodriguez, Pau, Nowrouzezahrai, Derek, Rahimi Azghadi, Mostafa, and Vazquez, David (2021) Weakly supervised underwater fish segmentation using affinity LCFCN. Scientific Reports, 11. p. 17379.

Saleh, Alzayat, Laradji, Issam H., Lammie, Corey, Vazquez, David, Flavell, Carol Ann, and Rahimi Azghadi, Mostafa (2021) A deep learning localization method for measuring abdominal muscle dimensions in ultrasound images. IEEE Journal of Biomedical and Health Informatics, 25. 10. pp. 3865-3873.

Saleh, Alzayat, Laradji, Issam H., Konovalov, Dmitry A., Bradley, Michael, Vazquez, David, and Sheaves, Marcus (2020) A realistic fish-habitat dataset to evaluate algorithms for underwater visual analysis. Scientific Reports, 10. 14671.

Saleh, Alzayat (2020) Developing deep learning methods for aquaculture applications. Masters (Research) thesis, James Cook University.

Konovalov, Dmitry A., Saleh, Alzayat, Efremova, Dina B., Domingos, Jose A., and Jerry, Dean R. (2019) Automatic weight estimation of harvested fish from images. In: Proceedings of the International Conference on Digital Image Computing. pp. 308-314. From: DICTA 2019: International Conference on Digital Image Computing: Techniques and Applications, 2-4 December 2019, Perth, WA, Australia.

Konovalov, Dmitry A., Saleh, Alzayat, Bradley, Michael, Sankupellay, Mangalam, Marini, Simone, and Sheaves, Marcus (2019) Underwater fish detection with weak multi-domain supervision. In: Proceedings of the International Joint Conference on Neural Networks. From: 2019 IJCNN: International Joint Conference on Neural Networks, 14-19 July 2019, Budapest, Hungary.

Konovalov, Dmitry A., Saleh, Alzayat, Domingos, Jose A., White, Ron D., and Jerry, Dean R. (2018) Estimating mass of harvested Asian seabass Lates calcarifer from images. World Journal of Engineering and Technology, 6 (3). pp. 15-23.