Transfer learning based detection of diabetic retinopathy from small dataset MT Hagos, S Kant arXiv preprint arXiv:1905.07203, 2019 | 131 | 2019 |
Optimising knee injury detection with spatial attention and validating localisation ability N Belton, I Welaratne, A Dahlan, RT Hearne, MT Hagos, A Lawlor, ... Annual conference on medical image understanding and analysis, 71-86, 2021 | 13 | 2021 |
Fewsome: One-class few shot anomaly detection with siamese networks N Belton, MT Hagos, A Lawlor, KM Curran Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 12 | 2023 |
Posture Prediction for Healthy Sitting Using a Smart Chair TA Gelaw, MT Hagos Advances of Science and Technology: 9th EAI International Conference, ICAST …, 2021 | 12 | 2021 |
Automated Gastrointestinal Disease Recognition for Endoscopic Images AK Gebreslassie, YG Gezahegn, MT Hagos, A Ibenthal, Pooja 2019 International Conference on Computing, Communication, and Intelligent …, 2019 | 11 | 2019 |
Identifying Spurious Correlations and Correcting them with an Explanation-based Learning MT Hagos, KM Curran, B Mac Namee NeurIPS 2022 workshop on Human-in-the-Loop Learning (HILL), 2022 | 9 | 2022 |
Automated Smartphone Based System for Diagnosis of Diabetic Retinopathy MT Hagos, S Kant, SA Bala International Conference on Computing, Communication, and Intelligent …, 2019 | 7 | 2019 |
Impact of Feedback Type on Explanatory Interactive Learning MT Hagos, KM Curran, B Mac Namee International Symposium on Methodologies for Intelligent Systems, 127-137, 2022 | 6 | 2022 |
Point-of-Care Diabetic Retinopathy Diagnosis: A Standalone Mobile Application Approach MT Hagos arXiv preprint arXiv:2002.04066, 2020 | 5 | 2020 |
Transfer learning based detection of diabetic retinopathy from small dataset M Tsighe Hagos, S Kant arXiv e-prints, arXiv: 1905.07203, 2019 | 5 | 2019 |
Interpretable identification of mild cognitive impairment progression using stereotactic surface projections MT Hagos, RP Killeen, KM Curran, B Mac Namee, ... PAIS 2022, 153-156, 2022 | 2 | 2022 |
Towards a unified approach for unsupervised brain MRI Motion Artefact Detection with few shot Anomaly Detection N Belton, MT Hagos, A Lawlor, KM Curran Computerized Medical Imaging and Graphics 115, 102391, 2024 | 1 | 2024 |
Interpretable Weighted Siamese Network to Predict the Time to Onset of Alzheimer’s Disease from MRI Images MT Hagos, N Belton, RP Killeen, KM Curran, B Mac Namee, ... International Conference on Innovative Techniques and Applications of …, 2023 | 1* | 2023 |
Learning from Exemplary Explanations MT Hagos, KM Curran, B Mac Namee 25th Irish Machine Vision and Image Processing Conference, 2023 | 1 | 2023 |
Rethinking Knee Osteoarthritis Severity Grading: A Few Shot Self-Supervised Contrastive Learning Approach N Belton, MT Hagos, A Lawlor, KM Curran arXiv preprint arXiv:2407.09515, 2024 | | 2024 |
Distance-Aware eXplanation Based Learning MT Hagos, N Belton, KM Curran, B Mac Namee IEEE International Conference on Tools with Artificial Intelligence (ICTAI) 2023, 2023 | | 2023 |
Unlearning Spurious Correlations in Chest X-ray Classification MT Hagos, KM Curran, B Mac Namee Discovery Science 2023, 2023 | | 2023 |
Predicting progression levels of mild cognitive impairment M Learning, MT Hagos, N Belton, RP Killeen, KM Curran, BM Namee 27th Conference on Medical Image Understanding and Analysis 2023, 22, 2023 | | 2023 |
Diagnosis of Diabetic Retinopathy in Ethiopia: Before the Deep Learning based Automation MT Hagos arXiv.org, 2020 | | 2020 |
Intelligent License Plate Recognition YG Gezahegn, MT Hagos, DHMW Gebreal, Z Teklay Gebreslassie, ... Information and Communication Technology for Development for Africa: First …, 2018 | | 2018 |