A Deep Learning-Based Pipeline for Celiac Disease Diagnosis Using Histopathological Images. - Farhad Maleki; Kevin Cote; Keyhan Najafian; Katie L. Ovens; Yan Miao; Rita Zakarian; Caroline Reinhold; Reza Forghani; Peter Savadjiev; Zu-hua Gao (CAIP (1), 2021)

A Semi-self-supervised Learning Approach for Wheat Head Detection using Extremely Small Number of Labeled Samples. - Keyhan Najafian; Alireza Ghanbari; Ian Stavness; Lingling Jin; Gholam Hassan Shirdel; Farhad Maleki (ICCVW, 2021)

Detection of Fusarium Damaged Kernels in Wheat Using Deep Semi-Supervised Learning on a Novel WheatSeedBelt Dataset. - Keyhan Najafian; Lingling Jin; H. Randy Kutcher; Mackenzie Hladun; Samuel Horovatin; Maria Alejandra Oviedo-Ludena; Sheila Maria Pereira De Andrade; Lipu Wang; Ian Stavness (ICCV (Workshops), 2023)

Beyond Annotations: Efficient Wheat Head Segmentation Using L-Systems, Game Engines, and Student-Teacher Models. - Hosein Beheshtifard; Elijah Mickelson; Keyhan Najafian; Farhad Maleki (ECCV Workshops (3), 2024)

SynthSet: Generative Diffusion Model for Semantic Segmentation in Precision Agriculture. - Andrew Heschl; Mauricio Murillo; Keyhan Najafian; Farhad Maleki (ECCV Workshops (3), 2024)

Modified CycleGAN for the synthesization of samples for wheat head segmentation. - Jaden Myers; Keyhan Najafian; Farhad Maleki; Katie L. Ovens (CoRR, 2024)

DVOS: Self-Supervised Dense-Pattern Video Object Segmentation. - Keyhan Najafian; Farhad Maleki; Ian Stavness; Lingling Jin (CoRR, 2024)

Efficient Wheat Head Segmentation with Minimal Annotation: A Generative Approach. - Jaden Myers; Keyhan Najafian; Farhad Maleki; Katie L. Ovens (J. Imaging, 2024)

A Semi-Self-Supervised Approach for Dense-Pattern Video Object Segmentation. - Keyhan Najafian; Farhad Maleki; Lingling Jin; Ian Stavness (CVPR Workshops, 2025)

From Semantic To Instance: A Semi-Self-Supervised Learning Approach. - Keyhan Najafian; Farhad Maleki; Lingling Jin; Ian Stavness (CoRR, 2025)