Yan Xia

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 15

Top Topics

Cardiac Mr Images

Probability Maps

Vessel Segmentation

Top Venues

Medical Image Anal.

Biomed. Signal Process. Control.

Publications

Kun Wu, Yan Xia, Nishant Ravikumar, Alejandro F. Frangi
Compressed sensing using a deep adaptive perceptual generative adversarial network for MRI reconstruction from undersampled K-space data. Biomed. Signal Process. Control. 96 (2024)
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)
Rodrigo Bonazzola, Enzo Ferrante, Nishant Ravikumar, Yan Xia, Bernard D. Keavney, Sven Plein, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi
Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology. Nat. Mac. Intell. 6 (3) (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)
Yash Deo, Rodrigo Bonazzola, Haoran Dou, Yan Xia, Tianyou Wei, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila
Learned Local Attention Maps for Synthesising Vessel Segmentations. CoRR (2023)
Yan Xia, Nishant Ravikumar, Toni Lassila, Alejandro F. Frangi
Virtual high-resolution MR angiography from non-angiographic multi-contrast MRIs: synthetic vascular model populations for in-silico trials. Medical Image Anal. 87 (2023)
Rodrigo Bonazzola, Enzo Ferrante, Nishant Ravikumar, Yan Xia, Bernard Keavney, Sven Plein, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi
Unsupervised ensemble-based phenotyping helps enhance the discoverability of genes related to heart morphology. 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. CoRR (2023)
Yash Deo, Rodrigo Bonazzola, Haoran Dou, Yan Xia, Tianyou Wei, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila
Learned Local Attention Maps for Synthesising Vessel Segmentations from T2 MRI. SASHIMI@MICCAI (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)
Nicolás Gaggion, Benjamin A. Matheson, Yan Xia, Rodrigo Bonazzola, Nishant Ravikumar, Zeike A. Taylor, Diego H. Milone, Alejandro F. Frangi, Enzo Ferrante
Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI. CoRR (2023)
Fengming Lin, Yan Xia, Shuang Song, Nishant Ravikumar, Alejandro F. Frangi
High-throughput 3DRA segmentation of brain vasculature and aneurysms using deep learning. Comput. Methods Programs Biomed. 230 (2023)
Xiang Chen, Yan Xia, Nishant Ravikumar, Alejandro F. Frangi
Joint segmentation and discontinuity-preserving deformable registration: Application to cardiac cine-MR images. CoRR (2022)
Yan Xia, Nishant Ravikumar, Alejandro F. Frangi
Learning to complete incomplete hearts for population analysis of cardiac MR images. Medical Image Anal. 77 (2022)
Yan Xia, Xiang Chen, Nishant Ravikumar, Christopher Kelly, Rahman Attar, Nay Aung, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
Automatic 3D+t four-chamber CMR quantification of the UK biobank: integrating imaging and non-imaging data priors at scale. Medical Image Anal. 80 (2022)