A novel approach to accurate 3D high resolution and high SNR fetal brain imaging. - Shuzhou Jiang; Hui Xue 006; Alan Glover; Mary A. Rutherford; Joseph V. Hajnal (ISBI, 2006)

Automatic extraction and matching of neonatal cerebral vasculature. - Hui Xue 006; Christina Malamateniou; Joanna M. Allsop; Latha Srinivasan; Joseph V. Hajnal; Daniel Rueckert (ISBI, 2006)

Automatic Cortical Segmentation in the Developing Brain. - Hui Xue 006; Latha Srinivasan; Shuzhou Jiang; Mary A. Rutherford; A. David Edwards; Daniel Rueckert; Joseph V. Hajnal (IPMI, 2007)

In-utero Three Dimension High Resolution Fetal Brain Diffusion Tensor Imaging. - Shuzhou Jiang; Hui Xue 006; Serena J. Counsell; Mustafa Anjari; Joanna M. Allsop; Mary A. Rutherford; Daniel Rueckert; Joseph V. Hajnal (MICCAI (1), 2007)

Longitudinal Cortical Registration for Developing Neonates. - Hui Xue 006; Latha Srinivasan; Shuzhou Jiang; Mary A. Rutherford; A. David Edwards; Daniel Rueckert; Joseph V. Hajnal (MICCAI (2), 2007)

Automatic segmentation and reconstruction of the cortex from neonatal MRI. - Hui Xue 006; Latha Srinivasan; Shuzhou Jiang; Mary A. Rutherford; A. David Edwards; Daniel Rueckert; Joseph V. Hajnal (NeuroImage, 2007)

MRI of Moving Subjects Using Multislice Snapshot Images With Volume Reconstruction (SVR): Application to Fetal, Neonatal, and Adult Brain Studies. - Shuzhou Jiang; Hui Xue 006; Alan Glover; Mary A. Rutherford; Daniel Rueckert; Joseph V. Hajnal (IEEE Trans. Medical Imaging, 2007)

Evaluation of Rigid and Non-rigid Motion Compensation of Cardiac Perfusion MRI. - Hui Xue 006; Jens Guehring; Latha Srinivasan; Sven Zühlsdorff; Kinda Anna Saddi; Christophe Chefd'Hotel; Joseph V. Hajnal; Daniel Rueckert (MICCAI (2), 2008)

Combining Registration and Minimum Surfaces for the Segmentation of the Left Ventricle in Cardiac Cine MR Images. - Marie-Pierre Jolly; Hui Xue 006; Leo J. Grady; Jens Guehring (MICCAI (1), 2009)

Unsupervised Inline Analysis of Cardiac Perfusion MRI. - Hui Xue 006; Sven Zühlsdorff; Peter Kellman; Andrew E. Arai; Sonia Nielles-Vallespin; Christophe Chefd'Hotel; Christine H. Lorenz; Jens Guehring (MICCAI (1), 2009)

Efficient symmetric and inverse-consistent deformable registration through interleaved optimization. - Christoph Guetter; Hui Xue 006; Christophe Chefd'Hotel; Jens Guehring (ISBI, 2011)

Moving propagation of suspicious myocardial infarction from delayed enhanced cardiac imaging to CINE MRI using hybrid image registration. - Yixun Liu; Hui Xue 006; Christoph Guetter; Marie-Pierre Jolly; Nikos Chrisochoides; Jens Guehring (ISBI, 2011)

Automatic Segmentation of the Myocardium in Cine MR Images Using Deformable Registration. - Marie-Pierre Jolly; Christoph Guetter; Xiaoguang Lu; Hui Xue 006; Jens Guehring (STACOM, 2011)

Motion Compensated Magnetic Resonance Reconstruction Using Inverse-Consistent Deformable Registration: Application to Real-Time Cine Imaging. - Hui Xue 006; Yu Ding; Christoph Guetter; Marie-Pierre Jolly; Jens Guehring; Sven Zühlsdorff; Orlando P. Simonetti (MICCAI (1), 2011)

Simultaneous detection of landmarks and key-frame in cardiac perfusion MRI using a joint spatial-temporal context model. - Xiaoguang Lu; Hui Xue 006; Marie-Pierre Jolly; Christoph Guetter; Peter Kellman; Li-yueh Hsu; Andrew E. Arai; Sven Zühlsdorff; Arne Littmann; Bogdan Georgescu; Jens Guehring (Image Processing, 2011)

Assessment of Cardiac Motion Effects on the Fiber Architecture of the Human Heart In Vivo. - Hongjiang Wei; Magalie Viallon; Bénédicte M. A. Delattre; Lihui Wang 002; Vinay M. Pai; Han Wen; Hui Xue 006; Christoph Guetter; Pierre Croisille; Yuemin Zhu (IEEE Trans. Medical Imaging, 2013)

Automated Detection of Left Ventricle in Arterial Input Function Images for Inline Perfusion Mapping using Deep Learning: A study of 15, 000 Patients. - Hui Xue 006; Ethan Tseng; Kristopher D. Knott; Tushar Kotecha; Louise Brown; Sven Plein; Marianna Fontana; James C. Moon; Peter Kellman (CoRR, 2019)

Automated Inline Analysis of Myocardial Perfusion MRI with Deep Learning. - Hui Xue 006; Rhodri H. Davies; Louis A. E. Brown; Kristopher D. Knott; Tushar Kotecha; Marianna Fontana; Sven Plein; James C. Moon; Peter Kellman (CoRR, 2019)

Landmark detection in Cardiac Magnetic Resonance Imaging Using A Convolutional Neural Network. - Hui Xue 006; Jessica Artico; Marianna Fontana; James C. Moon; Rhodri H. Davies; Peter Kellman (CoRR, 2020)

Cut out the annotator, keep the cutout: better segmentation with weak supervision. - Sarah M. Hooper; Michael Wornow; Ying Hang Seah; Peter Kellman; Hui Xue 006; Frederic Sala; Curtis P. Langlotz; Christopher Ré (ICLR, 2021)

An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar. - Daniele M. Papetti; Kirsten van Abeelen; Rhodri H. Davies; Roberto Menè; Francesca Heilbron; Francesco P. Perelli; Jessica Artico; Andreas Seraphim; James C. Moon; Gianfranco Parati; Hui Xue 006; Peter Kellman; et al. (Comput. Methods Programs Biomed., 2023)

Recurrent inference machine for medical image registration. - Yi Zhang 120; Yidong Zhao; Hui Xue 006; Peter Kellman; Stefan Klein 001; Qian Tao (Medical Image Anal., 2025)

A Study on Context Length and Efficient Transformers for Biomedical Image Analysis. - Sarah M. Hooper; Hui Xue 006 (CoRR, 2025)

SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation. - Hui Xue 006; Sarah M. Hooper; Iain Pierce; Rhodri H. Davies; John Stairs; Joseph Naegele; Adrienne E. Campbell-Washburn; Charlotte Manisty; James C. Moon; Thomas A. Treibel; Peter Kellman; Michael S. Hansen (CoRR, 2025)