In Proceedings

2023

1. Mardanisamai, bf S.; Sturby, Q.; Wright, D. et al. Lentil Microplot detection using parallel $K$-lines and Blob Detection Algorithms from Orthomosaic Images. In Researchfest 2023, 2023.

2022

2. Mardanisamai, bf S. and Eramian$^*$, bf M. Lentil Microplot detection using parallel $K$-lines and Blob Detection Algorithms from Orthomosaic Images. In 7th Annual P2IRC Symposium (Univ. of Saskatchewan), 2022.
3. Song, bf H.; Liu, Z.; Panjvani, K. et al. A pipeline for 3D Crop Root System imaging, accurate tomographic reconstruction and digital phenotyping. In 7th Annual P2IRC Symposium (Univ. of Saskatchewan), 2022.
4. Ogidi, bf F.; Eramian$^*$, M. and Stavness$^*$, I. Benchmarking self-supervised learning methods for image-based plant phenotyping tasks. In 7th Annual P2IRC Symposium (Univ. of Saskatchewan), 2022.

2020

5. Mardanisamani, bf S.; Ayalew, T.; Badhon, M. A. et al. Hierarchical Image-based Optimization Method for Automatic Microplot Localization using UAV-Acquired Images. In 5th Annual P2IRC Symposium (Univ. of Saskatchewan), 2020.
6. Rajapaksa, bf S. and Eramian$^*$, bf M. An evaluation of the Parallel K-Lines Algorithm for Noise-Robust Plant Row Detection in Top-down imagery of Agricultural Fields. In 5th Annual P2IRC Symposium (Univ. of Saskatchewan), 2020.
7. Mardanisamani, bf S.; Ayalew, T.; Badhon, M. A. et al. Automatic Microplot Localization From UAV-Acquired Images Using an Optimization Method. In Phenome, 2020.

2019

8. Mardanisamani, bf S.; Kassani, S. H.; Rajapaksa, bf S. et al. Crop lodging prediction from UAV-acquired Images of Wheat and Canola using a DCNN augmented with Handcrafted Texture Features. In 4th Annual P2IRC Symposium (Univ. of Saskatchewan), 2019.
9. Rajapaksa, bf S.; Aich, S.; Josuettes, A. et al. Counting Flowers and Spikes. In 4th Annual P2IRC Symposium (Univ. of Saskatchewan), 2019.
10. Ayalew, T.; Khan, M. A. B. N.; Zahan, bf S. M. G. M. D. H. et al. Pheno-canola plot localization using an optimization method. In 4th Annual P2IRC Symposium (Univ. of Saskatchewan), 2019.
11. Leyeza, bf B.; Seidenthal, bf K.; Aziz, S. U. et al. Clump it up!: Clump-based emergence counting of textitBrassica Carinata. In 4th Annual P2IRC Symposium (Univ. of Saskatchewan), 2019.
12. Khan, N. A.; Eramian, bf M. and McQuillan, I. Using models to improve skeletonization of maize for leaf counting. In 4th Annual P2IRC Symposium (Univ. of Saskatchewan), 2019.
13. Kamp, W. v. d.; Espana, C.; Xue, S. et al. Plot Vision: Automated per-plot dataset curation and image analysis from aerial field imagery. In 1st International Wheat Congress, 2019.
14. Shirtliffe, S.; Zhang, Ti; Duddu, H. S. et al. Leveraging Field Phenomics for Wheat Improvement. In 1st International Wheat Congress, 2019.
15. Higgs, N.; Kocur, J.; Kamp, W. v. d. et al. ProTractor: An Inexpensive Field-Based System for Image Acquisition and Automated Dataset Curation. In Phenome, 2019.

2018

16. Josuttes, A.; Rajapaksa, S.; Shubra, A. et al. Protocol Development to Predict the Number of Spikes in Wheat it (Triticum aestivum). In International Plant Phenotyping Symposium, 2018.

2017

17. Song, bf H.; Leyeza, bf B.; Hallin, E. et al. 3D Reconstruction of Neutron-Imaged Roots. In 2nd Annual P2IRC Symposium (Univ. of Saskatchewan), 2017.
18. Yasir, bf R.; Shirtliffe, S. and Eramian$^*$, bf M. Optimal Multispectral Image Registration Framework. In 2nd Annual P2IRC Symposium (Univ. of Saskatchewan), 2017.
19. Rajapaksa, bf S.; Shirtliffe, S. and Eramian$^*$, bf M. Lodging Detection of Canola using Drone Images. In 2nd Annual P2IRC Symposium (Univ. of Saskatchewan), 2017.
20. Ahmed, bf I.; Shirtliffe, S. and Eramian$^*$, bf M. Lentil-Agile Plot Segmentation. In 2nd Annual P2IRC Symposium (Univ. of Saskatchewan), 2017.

2016

21. Gray, T.; Chaimberlain, C.; Kamp, W. v. d. et al. Plot Segmentation and Localization. In 1st Annual P2IRC Symposium (Univ. of Saskatchewan), 2016.
22. Johnstone, bf K.; Gray, T.; Eramian, bf M. et al. Photo Synthesis: Image Stitching and Registration. In 1st Annual P2IRC Symposium (Univ. of Saskatchewan), 2016.
23. Yi, bf X.; Eramian$^*$, bf M. and Wang, R. Preliminary Validation Study using Computer Vision for Seed Identification. In 31st ISTA Congress Seed Symposium, Tallinn, Estonia, 2016, 2016.
24. Power$^*$, C.; Lewis, A.; Petrie, H. et al. Digging Archaeological Data And Image Search Metadata. In DiD3 Conference, 2016.

2015

25. Yi, bf X.; Eramian$^*$, bf M.; Wang, R. et al. Seed identification using computer vision techniques. In International Seed Testing Association Annual Meeting (ISTA 2015), 2015.

2008

26. Miller, D.; Wobeser, G.; Appleyard, G. et al. Image analysis techniques for classification of pulmonary disease in cattle. In 15th Annual University of Saskatchewan Life and Health Sciences Research Conference, 2008.

2006

27. Miller, D.; Wobeser, G.; Appleyard, G. et al. Image Analysis Techniques for Classification of Pulmonary Disease in Cattle. In Canadian Student Conference on Biomedical Computing, pages 1 page, 2006.
28. Miller, D.; Kusalik$^*$, T.; Wobeser, G. et al. Image analysis techniques for classification of pulmonary disease in cattle. In TechMed 2006, Saskatoon, SK, 2006.

2005

29. Bian, bf Na and Eramian$^*$, bf M. G. Evaluation of Follicular Development using Ultrasonographic Image Texture Features. In 12th Annual University of Saskatchewan Life and Health Sciences Research Conference, 2005.
30. Bian, bf Na; Pierson, R. and Eramian$^*$, bf M. Temporal variation of echotexture features of the dominant ovarian follicle's wall. In Proceedings of the Conjoint Annual Meeting of the American Society for Reproductive Medicine and the Canadian Fertility and Andrology Society, pages S202, Fertility and Sterility, Supplement 1 , 2005.
31. Eramian$^*$, bf M.; Adams, G. and Pierson, R. Sticks filtering of ultrasonographic images of bovine ovaries for visualization of ovarian structure. In Proceedings of the Conjoint Annual Meeting of the American Society for Reproductive Medicine and the Canadian Fertility and Andrology Society, pages S203, Fertility and Sterility, Supplement 1 , 2005.
32. Eramian$^*$, bf M. and Drotar, M. Does Hausdorff Dimension Measure Texture Complexity?. In Implementation and Application of Automata: 9th International Conference, CIAA 2004, Kingston, Canada, July 22--24, 2004, pages 317-318, Springer-Verlag, Lecture Notes in Computer Science 3317, 2005.