The fully convolutional transformer for medical image segmentation A Tragakis, C Kaul, R Murray-Smith, D Husmeier Proceedings of the IEEE/CVF winter conference on applications of computer …, 2023 | 116 | 2023 |
GLFNET: Global-Local (frequency) Filter Networks for efficient medical image segmentation A Tragakis, Q Liu, C Kaul, SK Roy, H Dai, F Deligianni, R Murray-Smith, ... 2024 IEEE 21th International Symposium on Biomedical Imaging (ISBI), 2024 | 2 | 2024 |
AI-Enabled sensor fusion of time of flight imaging and mmwave for concealed metal detection C Kaul, KJ Mitchell, K Kassem, A Tragakis, V Kapitany, I Starshynov, ... Sensors (Chosen as the cover issue 🚀) 24 (18), 5865, 2024 | 1 | 2024 |
Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models A Tragakis, M Aversa, C Kaul, R Murray-Smith, D Faccio Advances in Neural Information Processing Systems 37, 2024 | 1 | 2024 |
IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution A Tragakis, C Kaul, KJ Mitchell, H Dai, R Murray-Smith, D Faccio Sensors 25 (1), 24, 2024 | | 2024 |
Computational Methods for Augmenting the Echocardiographic Assessment of Low-Flow, Low-Gradient Aortic Valve Stenosis M Illyes, A Tragakis, C Kaul, R Good, A McBride, A Aggarwal SINAPSE ASM 2023, 2023 | | 2023 |
The Fully Convolutional Transformer for Medical Image Segmentation Supplementary Material A Tragakis, C Kaul, RMSD Husmeier Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 0 | | |