| Overview of machine learning part 1: fundamentals and classic approaches F Maleki, K Ovens, K Najafian, B Forghani, C Reinhold, R Forghani Neuroimaging Clinics 30 (4), e17-e32, 2020 | 50 | 2020 |
| A Semi-Self-Supervised learning approach for wheat head detection using extremely small number of labeled samples K Najafian, A Ghanbari, I Stavness, L Jin, GH Shirdel, F Maleki Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 18 | 2021 |
| Semi-Self-Supervised Learning for Semantic Segmentation in Images with Dense Patterns K Najafian, A Ghanbari, M Sabet Kish, M Eramian, GH Shirdel, I Stavness, ... Plant Phenomics 5, 0025, 2023 | 3 | 2023 |
| Predicting phenotypes from novel genomic markers using deep learning S Sehrawat, K Najafian, L Jin Bioinformatics Advances 3 (1), vbad028, 2023 | 3 | 2023 |
| A deep learning-based pipeline for celiac disease diagnosis using histopathological images F Maleki, K Cote, K Najafian, K Ovens, Y Miao, R Zakarian, C Reinhold, ... Computer Analysis of Images and Patterns: 19th International Conference …, 2021 | 3 | 2021 |
| Detection of Fusarium Damaged Kernels in Wheat Using Deep Semi-Supervised Learning on a Novel WheatSeedBelt Dataset K Najafian, L Jin, HR Kutcher, M Hladun, S Horovatin, MA Oviedo-Ludena, ... Proceedings of the IEEE/CVF International Conference on Computer Vision, 660-669, 2023 | 1 | 2023 |
| Modified CycleGAN for the synthesization of samples for wheat head segmentation J Myers, K Najafian, F Maleki, K Ovens arXiv preprint arXiv:2402.15135, 2024 | | 2024 |
| Integument colour change: Tracking delayed growth of Oppia nitens as a sub-lethal indicator of soil toxicity SDS Olukayode O. Jegede, Hamzat O. Fajana, Adedamola Adedokun, Keyhan ... Environmental Pollution, 122772, 2023 | | 2023 |
