Convolution-Based Truncation Correction for C-Arm CT Using Scattered Radiation. - Bastian Bier; Chris Schwemmer; Andreas K. Maier; Hannes G. Hofmann; Yan Xia 002; Joachim Hornegger; Tobias Struffert (Bildverarbeitung für die Medizin, 2013)

Scaling Calibration in the ATRACT Algorithm. - Yan Xia 002; Andreas K. Maier; Frank Dennerlein; Hannes G. Hofmann; Joachim Hornegger (Bildverarbeitung für die Medizin, 2013)

Region of Interest Reconstruction from Dose-Minimized Super Short Scan Data. - Yan Xia 002; Andreas K. Maier; Martin Berger 002; Joachim Hornegger (Bildverarbeitung für die Medizin, 2014)

Scaling calibration in region of interest reconstruction with the 1D and 2D ATRACT algorithm. - Yan Xia 002; Frank Dennerlein; Sebastian Bauer 001; Hannes G. Hofmann; Joachim Hornegger; Andreas K. Maier (Int. J. Comput. Assist. Radiol. Surg., 2014)

Towards Clinical Application of a Laplace Operator-Based Region of Interest Reconstruction Algorithm in C-Arm CT. - Yan Xia 002; Hannes G. Hofmann; Frank Dennerlein; Kerstin Müller 002; Chris Schwemmer; Sebastian Bauer 001; Gouthami Chintalapani; Ponraj Chinnadurai; Joachim Hornegger; Andreas K. Maier (IEEE Trans. Medical Imaging, 2014)

Truncation Robust C-Arm CT Reconstruction for Dynamic Collimation Acquisition Schemes. - Thomas Kästner; Joachim Hornegger; Andreas K. Maier; Yan Xia 002; Sebastian Bauer 001 (Bildverarbeitung für die Medizin, 2015)

Over-Exposure Correction in CT Using Optimization-Based Multiple Cylinder Fitting. - Alexander Preuhs; Martin Berger 002; Yan Xia 002; Andreas K. Maier; Joachim Hornegger; Rebecca Fahrig (Bildverarbeitung für die Medizin, 2015)

Region-of-Interest Imaging with C-arm Computed Tomography - Yan Xia 002 (2016)

Overexposure Correction by Mixed One-Bit Compressive Sensing for C-Arm CT. - Xiaolin Huang; Yan Xia 002; Yixing Huang; Joachim Hornegger; Andreas K. Maier (Bildverarbeitung für die Medizin, 2017)

Mixed one-bit compressive sensing with applications to overexposure correction for CT reconstruction. - Xiaolin Huang; Yan Xia 002; Lei Shi 010; Yixing Huang; Ming Yan 006; Joachim Hornegger; Andreas K. Maier (CoRR, 2017)

An Improved Extrapolation Scheme for Truncated CT Data Using 2D Fourier-Based Helgason-Ludwig Consistency Conditions. - Yan Xia 002; Martin Berger 002; Sebastian Bauer 001; Shiyang Hu; André Aichert; Andreas K. Maier (Int. J. Biomed. Imaging, 2017)

Computed Tomography. - Oliver Taubmann; Martin Berger 002; Marco Bögel; Yan Xia 002; Michael Balda; Andreas K. Maier (Medical Imaging Systems, 2018)

A Deep Discontinuity-Preserving Image Registration Network. - Xiang Chen 008; Yan Xia 002; Nishant Ravikumar; Alejandro F. Frangi (MICCAI (4), 2021)

CAR-Net: Unsupervised Co-Attention Guided Registration Network for Joint Registration and Structure Learning. - Xiang Chen 008; Yan Xia 002; Nishant Ravikumar; Alejandro F. Frangi (CoRR, 2021)

Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds. - Xiang Chen 008; Nishant Ravikumar; Yan Xia 002; Rahman Attar; Andres Diaz-Pinto; Stefan K. Piechnik; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (Medical Image Anal., 2021)

Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning. - Yan Xia 002; Nishant Ravikumar; John P. Greenwood; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (Medical Image Anal., 2021)

Recovering from missing data in population imaging - Cardiac MR image imputation via conditional generative adversarial nets. - Yan Xia 002; Le Zhang 005; Nishant Ravikumar; Rahman Attar; Stefan K. Piechnik; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (Medical Image Anal., 2021)

PMS-GAN: Parallel Multi-Stream Generative Adversarial Network for Multi-Material Decomposition in Spectral Computed Tomography. - Mufeng Geng; Zifeng Tian; Zhe Jiang; Yunfei You; Ximeng Feng; Yan Xia 002; Kun Yang; Qiushi Ren; Xiangxi Meng 001; Andreas Maier 001; Yanye Lu (IEEE Trans. Medical Imaging, 2021)

Joint segmentation and discontinuity-preserving deformable registration: Application to cardiac cine-MR images. - Xiang Chen 008; Yan Xia 002; Nishant Ravikumar; Alejandro F. Frangi (CoRR, 2022)

Automatic 3D+t four-chamber CMR quantification of the UK biobank: integrating imaging and non-imaging data priors at scale. - Yan Xia 002; Xiang Chen 008; Nishant Ravikumar; Christopher Kelly; Rahman Attar; Nay Aung; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (Medical Image Anal., 2022)

Learning to complete incomplete hearts for population analysis of cardiac MR images. - Yan Xia 002; Nishant Ravikumar; Alejandro F. Frangi (Medical Image Anal., 2022)

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)

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 ensemble-based phenotyping helps enhance the discoverability of genes related to heart morphology. - Rodrigo Bonazzola; Enzo Ferrante; Nishant Ravikumar; Yan Xia 002; Bernard D. Keavney; Sven Plein; Tanveer F. Syeda-Mahmood; Alejandro F. Frangi (CoRR, 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)

Virtual high-resolution MR angiography from non-angiographic multi-contrast MRIs: synthetic vascular model populations for in-silico trials. - Yan Xia 002; Nishant Ravikumar; Toni Lassila; Alejandro F. Frangi (Medical Image Anal., 2023)

High-throughput 3DRA segmentation of brain vasculature and aneurysms using deep learning. - Fengming Lin; Yan Xia 002; Shuang Song 005; Nishant Ravikumar; Alejandro F. Frangi (Comput. Methods Programs Biomed., 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)

Compressed sensing using a deep adaptive perceptual generative adversarial network for MRI reconstruction from undersampled K-space data. - Kun Wu; Yan Xia 002; Nishant Ravikumar; Alejandro F. Frangi (Biomed. Signal Process. Control., 2024)

Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology. - Rodrigo Bonazzola; Enzo Ferrante; Nishant Ravikumar; Yan Xia 002; Bernard D. Keavney; Sven Plein; Tanveer F. Syeda-Mahmood; Alejandro F. Frangi (Nat. Mac. Intell., 2024)

Multi-view hybrid graph convolutional network for volume-to-mesh reconstruction in cardiovascular MRI. - Nicolás Gaggion; Benjamin A. Matheson; Yan Xia 002; Rodrigo Bonazzola; Nishant Ravikumar; Zeike A. Taylor; Diego H. Milone; Alejandro F. Frangi; Enzo Ferrante (Medical Image Anal., 2025)