| 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 | 13 | 2023 |
| 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 |
| A simplistic machine learning approach to contact tracing C Gómez, N Belton, B Quach, J Nicholls, D Anand NIST Workshop: Challenges for Digital Proximity Detection in Pandemics …, 2020 | 6 | 2020 |
| A causal convolutional approach for packet loss concealment in low powered devices S Davy, N Belton, J Tobin, OB Zuber, L Dong, Y Xuewen ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 3 | 2023 |
| Semi-supervised siamese network for identifying bad data in medical imaging datasets N Belton, A Lawlor, KM Curran Short Paper presented at Medical Imaging with Deep Learning (MIDL), 2021 | 2 | 2021 |
| An ai system for continuous knee osteoarthritis severity grading using self-supervised anomaly detection with limited data N Belton, A Lawlor, KM Curran arXiv preprint arXiv:2407.11500, 2024 | 1 | 2024 |
| 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 |
| Rethinking Knee Osteoarthritis Severity Grading: A Few Shot Self-Supervised Contrastive Learning Approach N Belton, MT Hagos, A Lawlor, KM Curran 37th Conference on Neural Information Processing Systems, Medical Imaging …, 2024 | | 2024 |
| Automatic muscle segmentation on healthy abdominal MRI using nnUNet V Joppin, N Belton, MA Hostin, ME Bellemare, A Lawlor, KM Curran, ... Medical Imaging with Deep Learning, 2024 | | 2024 |
| DyABD: A Dataset and Technique for Synthetically Generating Dynamic Abdominal MRIs with Dual Class and Anatomically Conditioned Diffusion Models N Belton, V Joppin, A Lawlor, KM Curran, C Masson, T Bege, ... Medical Imaging with Deep Learning, 2024 | | 2024 |
| Distance-Aware eXplanation Based Learning MT Hagos, N Belton, KM Curran, B Mac Namee 2023 IEEE 35th International Conference on Tools with Artificial …, 2023 | | 2023 |
| Cybersecurity considerations for radiology departments involved with artificial intelligence BS Kelly, C Quinn, N Belton, A Lawlor, RP Killeen, J Burrell European Radiology 33, 8833–8841, 2023 | | 2023 |
| Integrating feature attribution methods into the loss function of deep learning classifiers J Callanan, C Garcia-Cabrera, N Belton, G Roshchupkin, K Curran Irish Pattern Recognition & Classification Society (IPRCS), 2022 | | 2022 |
| 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, 0 | | |
