Evaluation of modified adaptive k-means segmentation algorithm. - Taye Girma Debelee; Friedhelm Schwenker; Samuel Rahimeto; Dereje Yohannes (Comput. Vis. Media, 2019)

Deep Learning in Selected Cancers' Image Analysis - A Survey. - Taye Girma Debelee; Samuel Rahimeto Kebede; Friedhelm Schwenker; Zemene Matewos Shewarega (J. Imaging, 2020)

Automatic pectoral muscle removal in mammograms. - Samuel Rahimeto; Taye Girma Debelee; Dereje Yohannes; Friedhelm Schwenker (Evol. Syst., 2021)

Enhanced Region Growing for Brain Tumor MR Image Segmentation. - Erena Siyoum Biratu; Friedhelm Schwenker; Taye Girma Debelee; Samuel Rahimeto Kebede; Worku Gachena Negera; Hasset Tamirat Molla (J. Imaging, 2021)

Wheat Yield Prediction Using Machine Learning: A Survey. - Taye Girma Debelee; Samuel Rahimeto Kebede; Fraol Gelana Waldamichael; Daniel Moges Tadesse (PanAfriCon AI, 2022)

A Multi-input Architecture for the Classification of Skin Lesions Using ResNets and Metadata. - Fraol Gelana Waldamichael; Samuel Rahimeto Kebede; Yehualashet Megersa Ayano; Messay Tesfaye Demissie; Taye Girma Debelee (PanAfriCon AI, 2022)

Machine Learning in Cereal Crops Disease Detection: A Review. - Fraol Gelana Waldamichael; Taye Girma Debelee; Friedhelm Schwenker; Yehualashet Megersa Ayano; Samuel Rahimeto Kebede (Algorithms, 2022)

Application of deep reinforcement learning in various image processing tasks: a survey. - Daniel Moges Tadesse; Samuel Rahimeto Kebede; Taye Girma Debelee; Fraol Gelana Waldamichael (Evol. Syst., 2025)