Learned Local Attention Maps for Synthesising Vessel Segmentations from T2 MRI. - Yash Deo; Rodrigo Bonazzola; Haoran Dou; Yan Xia 002; Tianyou Wei; Nishant Ravikumar; Alejandro F. Frangi; Toni Lassila (SASHIMI@MICCAI, 2023)

Shape-Guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature. - Yash Deo; Haoran Dou; Nishant Ravikumar; Alejandro F. Frangi; Toni Lassila (DGM4MICCAI, 2023)

Learned Local Attention Maps for Synthesising Vessel Segmentations. - Yash Deo; Rodrigo Bonazzola; Haoran Dou; Yan Xia 002; Tianyou Wei; Nishant Ravikumar; Alejandro F. Frangi; Toni Lassila (CoRR, 2023)

Synthesising 3D Cardiac CINE-MR Images and Corresponding Segmentation Masks using a Latent Diffusion Model. - Nina Cheng; Zhengji Liu; Yash Deo; Haoran Dou; Ning Bi; Kun Wu; Fengming Lin; Zeike A. Taylor; Nishant Ravikumar; Alejandro F. Frangi (ISBI, 2024)

Few-Shot Learning in Diffusion Models for Generating Cerebral Aneurysm Geometries. - Yash Deo; Fengming Lin; Haoran Dou; Nina Cheng; Nishant Ravikumar; Alejandro F. Frangi; Toni Lassila (ISBI, 2024)

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)

Metrics that matter: Evaluating image quality metrics for medical image generation. - Yash Deo; Yan Jia 008; Toni Lassila; William A. P. Smith; Tom Lawton; Siyuan Kang; Alejandro F. Frangi; Ibrahim Habli (CoRR, 2025)