Michael MacRaild

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 5

Top Topics

Tubular Structures

Partially Labeled

Vessel Segmentation

Top Venues

Publications

Fengming Lin, Yan Xia, Michael MacRaild, Yash Deo, Haoran Dou, Qiongyao Liu, Kun Wu, Nishant Ravikumar, Alejandro F. Frangi
Unsupervised Domain Adaptation for Brain Vessel Segmentation through Transwarp Contrastive Learning. CoRR (2024)
Fengming Lin, Yan Xia, Michael MacRaild, Yash Deo, Haoran Dou, Qiongyao Liu, Nina Cheng, Nishant Ravikumar, Alejandro F. Frangi
GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation. CoRR (2024)
Fergus Shone, Nishant Ravikumar, Toni Lassila, Michael MacRaild, Yongxing Wang, Zeike A. Taylor, Peter K. Jimack, Erica Dall' Armellina, Alejandro F. Frangi
Deep Physics-Informed Super-Resolution of Cardiac 4D-Flow MRI. IPMI (2023)
Fengming Lin, Yan Xia, Nishant Ravikumar, Qiongyao Liu, Michael MacRaild, Alejandro F. Frangi
Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous Labels. CoRR (2023)
Fengming Lin, Yan Xia, Nishant Ravikumar, Qiongyao Liu, Michael MacRaild, Alejandro F. Frangi
Adaptive Semi-supervised Segmentation of Brain Vessels with Ambiguous Labels. DALI@MICCAI (2023)