Classification of Mammograms Using Convolutional Neural Network Based Feature Extraction. - Taye Girma Debelee; Mohammadreza Amirian; Achim Ibenthal; Günther Palm; Friedhelm Schwenker (ICT4DA, 2017)

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

Survey of deep learning in breast cancer image analysis. - Taye Girma Debelee; Friedhelm Schwenker; Achim Ibenthal; Dereje Yohannes (Evol. Syst., 2020)

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)

A Survey of Brain Tumor Segmentation and Classification Algorithms. - Erena Siyoum Biratu; Friedhelm Schwenker; Yehualashet Megersa; Taye Girma Debelee (J. Imaging, 2021)

Deep Learning Models for Audio Processing Applications Under Resource-Constrained Devices: A Survey. - Taye Girma Debelee; Yehualashet Megersa Ayano (PanAfriCon AI, 2022)

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

Convolution Filter Equivariance/Invariance in Convolutional Neural Networks: A Survey. - Sinshaw Bekele Habte; Achim Ibenthal; Ephrem Teshale Bekele; Taye Girma Debelee (PanAfriCon AI, 2022)

Robust Cough Analysis System for Diagnosis of Tuberculosis Using Artificial Neural Network. - Amsalu Fentie Jember; Yehualashet Megersa Ayano; Taye Girma Debelee (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)

Back Cover: International Journal of Intelligent Systems, Volume 37 Issue 8 August 2022. - Fraol Gelana Waldamichael; Taye Girma Debelee; Yehualashet Megersa Ayano (Int. J. Intell. Syst., 2022)

Coffee disease detection using a robust HSV color-based segmentation and transfer learning for use on smartphones. - Fraol Gelana Waldamichael; Taye Girma Debelee; Yehualashet Megersa Ayano (Int. J. Intell. Syst., 2022)

Review of Botnet Attack Detection in SDN-Enabled IoT Using Machine Learning. - Worku Gachena Negera; Friedhelm Schwenker; Taye Girma Debelee; Henock Mulugeta Melaku; Yehualashet Megeresa Ayano (Sensors, 2022)

Typewritten OCR Model for Ethiopic Characters. - Bereket Siraw Deneke; Rosa Tsegaye Aga; Mesay Samuel; Abel Mulat; Ashenafi Mulat; Abel Abebe; Rahel Mekonnen; Hiwot Mulugeta; Taye Girma Debelee; Worku Gachena (PanAfriCon AI (1), 2023)

Multitask Deep Convolutional Neural Network with Attention for Pulmonary Tuberculosis Detection and Weak Localization of Pathological Manifestations in Chest X-Ray. - Degaga Wolde Feyisa; Yehualashet Megersa Ayano; Taye Girma Debelee; Samuel Sisay Hailu (PanAfriCon AI (1), 2023)

DNN-Based Supervised Spontaneous Court Hearing Transcription for Amharic. - Martha Yifiru Tachbelie; Solomon Teferra Abate; Rosa Tsegaye Aga; Rahel Mekonnen; Hiwot Mulugeta; Abel Mulat; Ashenafi Mulat; Solomon Merkebu; Taye Girma Debelee; Worku Gachena (PanAfriCon AI (1), 2023)

Deep Learning and Machine Learning Techniques for Credit Scoring: A Review. - Hana Demma Wube; Sintayehu Zekarias Esubalew; Firesew Fayiso Weldesellasie; Taye Girma Debelee (PanAfriCon AI (2), 2023)

Machine Learning Based Stroke Segmentation and Classification from CT-Scan: A Survey. - Elbetel Taye Zewde; Mersibon Melese Motuma; Yehualashet Megersa Ayano; Taye Girma Debelee; Degaga Wolde Feyisa (PanAfriCon AI (1), 2023)

Weak Localization of Radiographic Manifestations in Pulmonary Tuberculosis from Chest X-ray: A Systematic Review. - Degaga Wolde Feyisa; Yehualashet Megersa Ayano; Taye Girma Debelee; Friedhelm Schwenker (Sensors, 2023)

Interpretable Hybrid Multichannel Deep Learning Model for Heart Disease Classification Using 12-Lead ECG Signal. - Yehualashet Megersa Ayano; Friedhelm Schwenker; Bisrat Derebssa Dufera; Taye Girma Debelee; Yitagesu Getachew Ejegu (IEEE Access, 2024)

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)

State of artificial intelligence eco-system in Ethiopia. - Wegene Demisie Jima; Tesfaye Adisu Tarekegn; Taye Girma Debelee (AI Ethics, 2025)