Michael MacRaild

According to our database, Michael MacRaild authored at least 4 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation.

Fengming Lin, Yan Xia, Michael MacRaild, Yash Deo, Haoran Dou, Qiongyao Liu, Nina Cheng, Nishant Ravikumar, Alejandro F. Frangi

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Unsupervised Domain Adaptation for Brain Vessel Segmentation Through Transwarp Contrastive Learning.

Fengming Lin, Yan Xia, Yash Deo, Michael MacRaild, Haoran Dou, Qiongyao Liu, Kun Wu, Nishant Ravikumar, Alejandro F. Frangi

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Adaptive Semi-supervised Segmentation of Brain Vessels with Ambiguous Labels.

Fengming Lin, Yan Xia, Nishant Ravikumar, Qiongyao Liu, Michael MacRaild, Alejandro F. Frangi

Proceedings of the Data Augmentation, Labelling, and Imperfections - Third MICCAI Workshop, 2023

Deep Physics-Informed Super-Resolution of Cardiac 4D-Flow MRI.

Fergus Shone, Nishant Ravikumar, Toni Lassila, Michael MacRaild, Yongxing Wang, Zeike A. Taylor, Peter K. Jimack, Erica Dall' Armellina, Alejandro F. Frangi

Proceedings of the Information Processing in Medical Imaging, 2023