Intelligent License Plate Recognition. - Yaecob Girmay Gezahegn; Misgina Tsighe Hagos; Dereje H. Mariam W. Gebreal; Zeferu Teklay Gebreslassie; Gereziher Niguse G. Tekele; Yakob Kiros T. Haimanot (ICT4DA, 2017)

Transfer Learning based Detection of Diabetic Retinopathy from Small Dataset. - Misgina Tsighe Hagos; Shri Kant (CoRR, 2019)

Point-of-Care Diabetic Retinopathy Diagnosis: A Standalone Mobile Application Approach. - Misgina Tsighe Hagos (CoRR, 2020)

Diagnosis of Diabetic Retinopathy in Ethiopia: Before the Deep Learning based Automation. - Misgina Tsighe Hagos (CoRR, 2020)

Automated Smartphone based System for Diagnosis of Diabetic Retinopathy. - Misgina Tsighe Hagos; Shri Kant; Surayya Ado Bala (CoRR, 2020)

Posture Prediction for Healthy Sitting Using a Smart Chair. - Tariku Adane Gelaw; Misgina Tsighe Hagos (ICAST (1), 2021)

Optimising Knee Injury Detection with Spatial Attention and Validating Localisation Ability. - Niamh Belton; Ivan Welaratne; Adil Dahlan; Ronan T. Hearne; Misgina Tsighe Hagos; Aonghus Lawlor; Kathleen M. Curran (MIUA, 2021)

Interpretable Identification of Mild Cognitive Impairment Progression Using Stereotactic Surface Projections. - Misgina Tsighe Hagos; Ronan P. Killeen; Kathleen M. Curran; Brian Mac Namee (PAIS@ECAI, 2022)

Impact of Feedback Type on Explanatory Interactive Learning. - Misgina Tsighe Hagos; Kathleen M. Curran; Brian Mac Namee (ISMIS, 2022)

Identifying Spurious Correlations and Correcting them with an Explanation-based Learning. - Misgina Tsighe Hagos; Kathleen M. Curran; Brian Mac Namee (CoRR, 2022)

FewSOME: One-Class Few Shot Anomaly Detection with Siamese Networks. - Niamh Belton; Misgina Tsighe Hagos; Aonghus Lawlor; Kathleen M. Curran (CVPR Workshops, 2023)

Unlearning Spurious Correlations in Chest X-Ray Classification. - Misgina Tsighe Hagos; Kathleen M. Curran; Brian Mac Namee (DS, 2023)

Distance-Aware eXplanation Based Learning. - Misgina Tsighe Hagos; Niamh Belton; Kathleen M. Curran; Brian Mac Namee (ICTAI, 2023)

Interpretable Weighted Siamese Network to Predict the Time to Onset of Alzheimer's Disease from MRI Images. - Misgina Tsighe Hagos; Niamh Belton; Ronan P. Killeen; Kathleen M. Curran; Brian Mac Namee (SGAI Conf., 2023)

FewSOME: Few Shot Anomaly Detection. - Niamh Belton; Misgina Tsighe Hagos; Aonghus Lawlor; Kathleen M. Curran (CoRR, 2023)

Weighted Siamese Network to Predict the Time to Onset of Alzheimer's Disease from MRI Images. - Misgina Tsighe Hagos; Niamh Belton; Ronan P. Killeen; Kathleen M. Curran; Brian Mac Namee (CoRR, 2023)

Learning from Exemplary Explanations. - Misgina Tsighe Hagos; Kathleen M. Curran; Brian Mac Namee (CoRR, 2023)

Towards a unified approach for unsupervised brain MRI Motion Artefact Detection with few shot Anomaly Detection. - Niamh Belton; Misgina Tsighe Hagos; Aonghus Lawlor; Kathleen M. Curran (Comput. Medical Imaging Graph., 2024)

Rethinking Knee Osteoarthritis Severity Grading: A Few Shot Self-Supervised Contrastive Learning Approach. - Niamh Belton; Misgina Tsighe Hagos; Aonghus Lawlor; Kathleen M. Curran (CoRR, 2024)

Validation of Conformal Prediction in Cervical Atypia Classification. - Misgina Tsighe Hagos; Antti Suutala; Dmitrii Bychkov; Hakan Kücükel; Joar von Bahr; Milda Poceviciute; Johan Lundin; Nina Linder; Claes Lundström (CoRR, 2025)