| Current state and future directions for deep learning based automatic seismic fault interpretation: A systematic review Y An, H Du, S Ma, Y Niu, D Liu, J Wang, Y Du, C Childs, J Walsh, R Dong Earth-Science Reviews 243, 104509, 2023 | 22 | 2023 |
| Breaking the Barrier: Selective Uncertainty-based Active Learning for Medical Image Segmentation S Ma, H Wu, A Lawlor, R Dong ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 4 | 2024 |
| Adaptive Adversarial Samples Based Active Learning for Medical Image Classification. S Ma, Y An, J Wang, A Lawlor, R Dong ICPRAM, 751-758, 2023 | 4 | 2023 |
| A Comparative Study of Vision Transformer and Convolutional Neural Network Models in Geological Fault Detection J Wang, S Ma, Y An, R Dong IEEE Access, 2024 | 3 | 2024 |
| Received signal strength prediction using generative adversarial networks for indoor localization H Wu, H Qin, S Ma, HD Lang, X Zhang 2023 Photonics & Electromagnetics Research Symposium (PIERS), 351-354, 2023 | 2 | 2023 |
| Model-data-driven adversarial active learning for brain tumor segmentation S Ma, P Mathur, Z Ju, A Lawlor, R Dong Computers in Biology and Medicine 176, 108585, 2024 | 1 | 2024 |
| Adaptive Curriculum Query Strategy for Active Learning in Medical Image Classification S Ma, H Du, KM Curran, A Lawlor, R Dong International Conference on Medical Image Computing and Computer-Assisted …, 2024 | | 2024 |
| Voronoi Tessellation-based Confidence Decision Boundary Visualization to Enhance Understanding of Active Learning J Chen, S Ma, D Liu, B Mac Namee, R Dong | | |