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 (IPMI, 2023)

Adaptive Semi-supervised Segmentation of Brain Vessels with Ambiguous Labels. - Fengming Lin; Yan Xia 002; Nishant Ravikumar; Qiongyao Liu; Michael MacRaild; Alejandro F. Frangi (DALI@MICCAI, 2023)

Unsupervised Domain Adaptation for Brain Vessel Segmentation Through Transwarp Contrastive Learning. - Fengming Lin; Yan Xia 002; Yash Deo; Michael MacRaild; Haoran Dou; Qiongyao Liu; Kun Wu; Nishant Ravikumar; Alejandro F. Frangi (ISBI, 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 002; Michael MacRaild; Yash Deo; Haoran Dou; Qiongyao Liu; Nina Cheng; Nishant Ravikumar; Alejandro F. Frangi (ISBI, 2024)

From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction. - Fengming Lin; Arezoo Zakeri; Yidan Xue; Michael MacRaild; Haoran Dou; Zherui Zhou; Ziwei Zou; Ali Sarrami-Foroushani; Jinming Duan 001; Alejandro F. Frangi (CoRR, 2025)