H. Xue

发表

3-T diffusion tensor imaging (DTI) of normal uterus in young and middle-aged females during the menstrual cycle: evaluation of the cyclic changes of fractional anisotropy (FA) and apparent diffusion coefficient (ADC) values.

Y. Li, Y. He, N. Ding, 2015, The British journal of radiology.

Steady‐state first‐pass perfusion (SSFPP): A new approach to 3D first‐pass myocardial perfusion imaging

Richard D. White, O. Simonetti, S. Rajagopalan, 2014, Magnetic resonance in medicine.

T1 and extracellular volume mapping in the heart: estimation of error maps and the influence of noise on precision

P. Kellman, A. Arai, H. Xue, 2013, Journal of Cardiovascular Magnetic Resonance.

Variable density incoherent spatiotemporal acquisition (VISTA) for highly accelerated cardiac MRI

Yu Ding, Rizwan Ahmad, Hui Xue, 2015, Magnetic resonance in medicine.

Inline non-rigid motion-corrected t2 mapping of myocardium

O. Simonetti, Saurabh Shah, S. Raman, 2010 .

Three‐dimensional motion tracking for high‐resolution optical microscopy, in vivo

Peter Kellman, Hui Xue, Randall Pursley, 2012, Journal of microscopy.

Coronary microvascular function and visceral adiposity in patients with normal body weight and type 2 diabetes

P. Kellman, S. Plein, J. Greenwood, 2022, Obesity.

Validation of cardiac magnetic-resonance-derived left ventricular strain measurements from free-breathing motion-corrected cine imaging

P. Kellman, H. Xue, L. Olivieri, 2018, Pediatric Radiology.

Mitral annular velocity measurement with cardiac magnetic resonance imaging using a novel annular tracking algorithm: Validation against echocardiography.

M. Jolly, O. Simonetti, Xiaoguang Lu, 2019, Magnetic resonance imaging.

Non-rigid registration and KLT filter to improve SNR and CNR in GRE-EPI myocardial perfusion imaging.

Yu Ding, Jens Guehring, Hui Xue, 2012, Journal of biomedical science and engineering.

Females have higher myocardial perfusion, blood volume and extracellular volume compared to males – an adenosine stress cardiovascular magnetic resonance study

P. Kellman, A. Sigfridsson, M. Ugander, 2020, Scientific Reports.

Deep Learning Based Myocardial Segmentation for Free-Breathing Real-Time Cine MRI : Augmentation from Breath-Hold Scans

H. Xue, hxue, 2019 .

4978 Real-time distortion correction of spiral MRI using the gradient system impulse response function

R. Lederman, M. Hansen, A. Faranesh, 2013 .

Assessment of multi-vessel coronary artery disease using cardiovascular magnetic resonance pixelwise quantitative perfusion mapping Brief Title: CMR perfusion mapping for assessment multi-vessel coronary disease

Roby, P. Kellman, S. Plein, 2020 .

Fully automated, inline quantification of myocardial blood flow with cardiovascular magnetic resonance: repeatability of measurements in healthy subjects

Pankaj Garg, Peter Kellman, Hui Xue, 2018, Journal of Cardiovascular Magnetic Resonance.

Quantitative cardiovascular magnetic resonance myocardial perfusion mapping to assess hyperaemic response to adenosine stress.

P. Kellman, S. Plein, J. Moon, 2020, European heart journal cardiovascular Imaging.

CMR fluoroscopy right heart catheterization for cardiac output and pulmonary vascular resistance: results in 102 patients

P. Kellman, D. Herzka, R. Lederman, 2017, Journal of Cardiovascular Magnetic Resonance.

High Temporal Resolution Retrospective Real-time Cine Imaging : Shortened Acquisition via Nonlinear Reconstruction

P. Kellman, A. Arai, M. Hansen, 2012 .

Association of ambulatory blood pressure with coronary microvascular and cardiac dysfunction in asymptomatic type 2 diabetes

P. Kellman, M. Davies, E. Brady, 2022, Cardiovascular Diabetology.

Motion-corrected cardiac MRI is associated with decreased anesthesia exposure in children

H. Xue, L. Olivieri, Rachel E. Quinn, 2020, Pediatric Radiology.

The Interfield Strength Agreement of Left Ventricular Strain Measurements at 1.5 T and 3 T Using Cardiac MRI Feature Tracking

P. Kellman, G. McCann, A. Moss, 2022, Journal of magnetic resonance imaging : JMRI.

Normal right and left ventricular volumes prospectively obtained from cardiovascular magnetic resonance in awake, healthy, 0- 12 year old children

Jiji Jiang, R. McCarter, H. Xue, 2020, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.

Myocardial T2* mapping: influence of noise on accuracy and precision

Christopher M. Sandino, P. Kellman, A. Arai, 2015, Journal of Cardiovascular Magnetic Resonance.

Phase‐sensitive inversion recovery for myocardial T1 mapping with motion correction and parametric fitting

Marie-Pierre Jolly, Jens Guehring, Peter Kellman, 2013, Magnetic resonance in medicine.

Motion correction for myocardial T1 mapping using image registration with synthetic image estimation

Marie-Pierre Jolly, Saurabh Shah, Arne Littmann, 2012, Magnetic resonance in medicine.

A method for fast determination of a spatially resolved magnetic resonance relaxation parameter in an examination area

H. Xue, P. Schmitt, A. Greiser, 2012 .

T 2 mapping using T 2 prepared-SSFP : Optimizing echo time , flip angle and parameter fitting

O. Simonetti, Y. Chung, S. Giri, 2009 .

Inline myocardial t2* mapping with iterative robust fitting

D. Pennell, P. Weale, Saurabh Shah, 2011, Journal of Cardiovascular Magnetic Resonance.

Automated detection of left ventricle in arterial input function images for inline perfusion mapping using deep learning: A study of 15,000 patients

P. Kellman, S. Plein, J. Moon, 2019, Magnetic resonance in medicine.

Motion-corrected free-breathing LGE delivers high quality imaging and reduces scan time by half: an independent validation study

P. Kellman, R. Boubertakh, J. Moon, 2019, The International Journal of Cardiovascular Imaging.

013 Free-breathing MOCO LGE leads to better image quality and faster scanning times in clinical practice

P. Kellman, R. Boubertakh, A. Eke, 2017, Heart.

Blood volume measurement using cardiovascular magnetic resonance and ferumoxytol: preclinical validation

P. Kellman, D. Herzka, R. Lederman, 2018, Journal of Cardiovascular Magnetic Resonance.

Imaging gravity-induced lung water redistribution with automated inline processing at 0.55 T cardiovascular magnetic resonance

R. Lederman, H. Xue, R. Ramasawmy, 2022, Journal of Cardiovascular Magnetic Resonance.

T1 mapping for detection of left ventricular myocardial fibrosis in hypertrophic cardiomyopathy: a preliminary study.

Saurabh Shah, H. Xue, Xiuyu Chen, 2013, European journal of radiology.

Clinical associations with stage B heart failure in adults with type 2 diabetes

K. Khunti, P. Kellman, M. Davies, 2021, Therapeutic advances in endocrinology and metabolism.

Automated Pixel-Wise Quantitative Myocardial Perfusion Mapping by Cardiovascular Magnetic Resonance to Detect Obstructive Coronary Artery Disease and Coronary Microvascular Dysfunction: Validation Against Invasive Coronary Physiology

P. Kellman, S. Plein, P. Hawkins, 2019 .

Assessment of Multivessel Coronary Artery Disease Using Cardiovascular Magnetic Resonance Pixelwise Quantitative Perfusion Mapping.

P. Kellman, S. Plein, J. Moon, 2020, JACC. Cardiovascular imaging.

Improved motion correction using image registration based on variational synthetic image estimation: application to inline t1 mapping of myocardium

P. Kellman, Saurabh Shah, A. Greiser, 2011, Journal of Cardiovascular Magnetic Resonance.

Correcting T2* effects in the myocardial perfusion arterial input function avoids overestimation of myocardial blood flow

P. Kellman, A. Arai, M. Hansen, 2016, Journal of Cardiovascular Magnetic Resonance.

Coexistent Diabetes Is Associated With the Presence of Adverse Phenotypic Features in Patients With Hypertrophic Cardiomyopathy

P. Kellman, S. Plein, J. Greenwood, 2022, Diabetes care.

The Prognostic Significance of Quantitative Myocardial Perfusion: An Artificial Intelligence Based Approach Using Perfusion Mapping

P. Kellman, S. Plein, S. Petersen, 2020 .

COVID-19: Myocardial injury in survivors.

P. Kellman, J. Moon, D. Knight, 2020, Circulation.

Cardiovascular magnetic resonance imaging and spectroscopy in clinical long-COVID-19 syndrome: a prospective case–control study

P. Kellman, S. Plein, J. Greenwood, 2022, Journal of Cardiovascular Magnetic Resonance.

Free-breathing motion-corrected late-gadolinium-enhancement imaging improves image quality in children

P. Kellman, M. Hansen, H. Xue, 2016, Pediatric Radiology.

Cardiovascular magnetic resonance in light-chain amyloidosis to guide treatment

P. Kellman, A. Petrie, P. Hawkins, 2022, European heart journal.

Extracellular volume fraction mapping in the myocardium, part 1: evaluation of an automated method

Peter Kellman, Andrew E Arai, Hui Xue, 2012, Journal of Cardiovascular Magnetic Resonance.

Quantitative myocardial perfusion during stress using CMR is impaired in healthy Middle Eastern immigrants without CV risk factors

P. Kellman, A. Aletras, H. Xue, 2022, Scientific Reports.

VALIDATION OF CMR-DERIVED LEFT VENTRICULAR STRAIN MEASUREMENTS BY FREE-BREATHING MOTION-CORRECTED CINE IMAGING

P. Kellman, M. Hansen, H. Xue, 2017 .

Simultaneous 13N-Ammonia and gadolinium first-pass myocardial perfusion with quantitative hybrid PET-MR imaging: a phantom and clinical feasibility study

P. Kellman, S. Plein, T. Schaeffter, 2019, European Journal of Hybrid Imaging.

Opportunities in Interventional and Diagnostic Imaging by Using High-performance Low-Field-Strength MRI.

Waqas Majeed, Himanshu Bhat, Rainer Schneider, 2019, Radiology.

Patterns of myocardial injury in recovered troponin-positive COVID-19 patients assessed by cardiovascular magnetic resonance

P. Kellman, J. Moon, J. Mayet, 2021, European heart journal.

Prognostic Value of Pulmonary Transit Time and Pulmonary Blood Volume Estimation Using Myocardial Perfusion CMR

A. Hughes, P. Kellman, S. Petersen, 2021, JACC. Cardiovascular imaging.

Fat deposition in dilated cardiomyopathy assessed by CMR.

Saurabh Shah, H. Xue, Xiuyu Chen, 2013, JACC. Cardiovascular imaging.

Evaluation of Hepatic Iron Overload Using a Contemporary 0.55 T MRI System

P. Kellman, S. Thein, C. Mancini, 2021, Journal of magnetic resonance imaging : JMRI.

Extracellular volume fraction mapping in the myocardium, part 2: initial clinical experience

Peter Kellman, Andrew E Arai, Hui Xue, 2012, Journal of Cardiovascular Magnetic Resonance.

Precision measurement of cardiac structure and function in cardiovascular magnetic resonance using machine learning

D. Rueckert, P. Kellman, Wenjia Bai, 2022, Journal of Cardiovascular Magnetic Resonance.

A comparison of cine CMR imaging at 0.55 T and 1.5 T

P. Kellman, Marcus Y. Chen, S. Thein, 2020, Journal of Cardiovascular Magnetic Resonance.

Improved Workflow for Quantification of Right Ventricular Volumes Using Free-Breathing Motion Corrected Cine Imaging

P. Kellman, H. Xue, L. Olivieri, 2018, Pediatric Cardiology.

Improved workflow for quantification of left ventricular volumes and mass using free-breathing motion corrected cine imaging

Laura Olivieri, Peter Kellman, Hui Xue, 2016, Journal of Cardiovascular Magnetic Resonance.

Maternal Cardiac Changes in Women With Obesity and Gestational Diabetes Mellitus

P. Kellman, S. Plein, M. Dweck, 2022, Diabetes care.

Dark blood late enhancement imaging

James C Moon, Peter Kellman, Hui Xue, 2016, Journal of Cardiovascular Magnetic Resonance.

Fully quantitative cardiovascular magnetic resonance myocardial perfusion ready for clinical use: a comparison between cardiovascular magnetic resonance imaging and positron emission tomography

Anthony H. Aletras, Marcus Carlsson, Peter Kellman, 2017, Journal of Cardiovascular Magnetic Resonance.

Quantitative Myocardial Perfusion Predicts Outcomes in Patients With Prior Surgical Revascularization.

P. Kellman, C. Manisty, G. Cole, 2022, Journal of the American College of Cardiology.

Apical Ischemia Is a Universal Feature of Apical Hypertrophic Cardiomyopathy

P. Kellman, G. Captur, W. McKenna, 2023, Circulation. Cardiovascular imaging.

Empagliflozin Treatment Is Associated With Improvements in Cardiac Energetics and Function and Reductions in Myocardial Cellular Volume in Patients With Type 2 Diabetes

P. Kellman, S. Plein, J. Greenwood, 2021, Diabetes.

Stress native T1 and native T2 mapping compared to myocardial perfusion reserve in long-term follow-up of severe Covid-19

P. Kellman, J. Nickander, H. Xue, 2023, Scientific Reports.

Bright-blood and dark-blood phase sensitive inversion recovery late gadolinium enhancement and T1 and T2 maps in a single free-breathing scan: an all-in-one approach

P. Kellman, G. Cole, K. Chow, 2021, Journal of Cardiovascular Magnetic Resonance.

Optimized saturation recovery protocols for T1-mapping in the heart: influence of sampling strategies on precision

Peter Kellman, Andrew E Arai, Hui Xue, 2014, Journal of Cardiovascular Magnetic Resonance.

The relative contributions of myocardial perfusion, blood volume and extracellular volume to native T1 and native T2 at rest and during adenosine stress in normal physiology

P. Kellman, A. Sigfridsson, M. Ugander, 2019, Journal of Cardiovascular Magnetic Resonance.

Landmark Detection in Cardiac MRI by Using a Convolutional Neural Network

Peter Kellman, Hui Xue, Marianna Fontana, 2021, Radiology. Artificial intelligence.

Females have higher myocardial perfusion, blood volume and extracellular volume compared to males – an adenosine stress cardiovascular magnetic resonance study

P. Kellman, A. Sigfridsson, M. Ugander, 2020, Scientific Reports.

Automated Inline Analysis of Myocardial Perfusion MRI with Deep Learning

P. Kellman, S. Plein, J. Moon, 2019, Radiology. Artificial intelligence.

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, Peter Kellman, Sonia Nielles-Vallespin, 2019, Magnetic resonance in medicine.

Myocardial perfusion cardiovascular magnetic resonance: optimized dual sequence and reconstruction for quantification

Sonia Nielles-Vallespin, Peter Kellman, Hui Xue, 2017, Journal of Cardiovascular Magnetic Resonance.

Use of quantitative cardiovascular magnetic resonance myocardial perfusion mapping for characterization of ischemia in patients with left internal mammary coronary artery bypass grafts

P. Kellman, J. Moon, C. Manisty, 2021, Journal of Cardiovascular Magnetic Resonance.

Automated Pixel-Wise Quantitative Myocardial Perfusion Mapping by CMR to Detect Obstructive Coronary Artery Disease and Coronary Microvascular Dysfunction: Validation Against Invasive Coronary Physiology.

P. Kellman, S. Plein, R. Rakhit, 2019, JACC. Cardiovascular imaging.

Quantitative Myocardial Perfusion in Fabry Disease.

P. Kellman, S. Plein, J. Moon, 2019, Circulation. Cardiovascular imaging.

1171Myocardial perfusion mapping in cardiac amyloidosis - exploring the spectrum from infiltration to ischaemia

P. Kellman, C. Little, R. Rakhit, 2019, European Heart Journal.

Prospective comparison of novel dark blood late gadolinium enhancement with conventional bright blood imaging for the detection of scar

P. Kellman, M. Hansen, J. Moon, 2017, Journal of Cardiovascular Magnetic Resonance.

Myocardial T2 mapping with respiratory navigator and automatic nonrigid motion correction

Jens Guehring, Hui Xue, Sven Zuehlsdorff, 2012, Magnetic resonance in medicine.

High spatial and temporal resolution retrospective cine cardiovascular magnetic resonance from shortened free breathing real-time acquisitions

Peter Kellman, Andrew E Arai, Hui Xue, 2013, Journal of Cardiovascular Magnetic Resonance.

Automated Inline Myocardial Segmentation of Joint T1 and T2 Mapping Using Deep Learning.

P. Kellman, G. Cole, K. Chow, 2023, Radiology. Artificial intelligence.

An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar

Marco S. Nobile, D. Besozzi, P. Kellman, 2022, Comput. Methods Programs Biomed..

Study protocol: MyoFit46—the cardiac sub-study of the MRC National Survey of Health and Development

P. Lambiase, P. Kellman, M. Orini, 2022, BMC Cardiovascular Disorders.

Myocardial Perfusion Defects in Hypertrophic Cardiomyopathy Mutation Carriers

P. Kellman, P. Elliott, J. Moon, 2021, Journal of the American Heart Association.

Efficient symmetric and inverse-consistent deformable registration through interleaved optimization

Christophe Chefd'Hotel, Hui Xue, Jens Guehring, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

The Prognostic Significance of Quantitative Myocardial Perfusion

P. Kellman, S. Plein, S. Petersen, 2020, Circulation.

Myocardial Perfusion Imaging After Severe COVID-19 Infection Demonstrates Regional Ischemia Rather Than Global Blood Flow Reduction

P. Kellman, C. Manisty, G. Cole, 2021, Frontiers in Cardiovascular Medicine.

Quantitative myocardial perfusion in coronary artery disease: A perfusion mapping study

P. Kellman, S. Plein, J. Moon, 2019, Journal of magnetic resonance imaging : JMRI.

Free-breathing T2* mapping using respiratory motion corrected averaging

Christopher M. Sandino, P. Kellman, D. Pennell, 2015, Journal of Cardiovascular Magnetic Resonance.

Evaluation of Myocardial Infarction by Cardiovascular Magnetic Resonance at 0.55-T Compared to 1.5-T.

P. Kellman, Marcus Y. Chen, C. Mancini, 2021, JACC. Cardiovascular imaging.

Assessment of Cardiac Motion Effects on the Fiber Architecture of the Human Heart In Vivo

Pierre Croisille, Han Wen, Lihui Wang, 2013, IEEE Transactions on Medical Imaging.

Automated In‐Line Artificial Intelligence Measured Global Longitudinal Shortening and Mitral Annular Plane Systolic Excursion: Reproducibility and Prognostic Significance

P. Kellman, E. Schelbert, T. Wong, 2022, Journal of the American Heart Association.

Dual echo positive contrast bSSFP for real-time visualization of passive devices duringmagnetic resonance guided cardiovascular catheterization

R. Lederman, M. Hansen, A. Faranesh, 2014, Journal of Cardiovascular Magnetic Resonance.

Fast implementation for compressive recovery of highly accelerated cardiac cine MRI using the balanced sparse model

Ning Jin, Rizwan Ahmad, Hui Xue, 2017, Magnetic resonance in medicine.

Inline perfusion mapping provides insights into the disease mechanism in hypertrophic cardiomyopathy

P. Kellman, S. Plein, S. Petersen, 2019, Heart.

Cardiovascular magnetic resonance phenotyping of heart failure with mildly reduced ejection fraction

P. Kellman, S. Plein, J. Greenwood, 2022, European heart journal. Cardiovascular Imaging.

Two RR myocardial perfusion acquisition achieves unbiased Myocardial Blood Flow (MBF) estimates

Sonia Nielles-Vallespin, Peter Kellman, Andrew E Arai, 2016, Journal of Cardiovascular Magnetic Resonance.

Unsupervised Inline Analysis of Cardiac Perfusion MRI

Christine H. Lorenz, Christophe Chefd'Hotel, Hui Xue, 2009, MICCAI.

Combining Registration and Minimum Surfaces for the Segmentation of the Left Ventricle in Cardiac Cine MR Images

Leo Grady, Marie-Pierre Jolly, Hui Xue, 2009, MICCAI.

Steady-state first-pass perfusion (SSFPP): A 3D TWIST in myocardial first-pass perfusion imaging

O. Simonetti, P. Kellman, G. Laub, 2012, Journal of Cardiovascular Magnetic Resonance.

The mechanical and perfusion basis of exercise limitation in apical hypertrophic cardiomyopathy

P. Kellman, G. Captur, Lopes, 2023, medRxiv.

ISMRM Raw data format: A proposed standard for MRI raw datasets

David Atkinson, Hui Xue, Peter Kellman, 2017, Magnetic resonance in medicine.

Evaluating semi-supervision methods for medical image segmentation: applications in cardiac magnetic resonance imaging

Christopher Ré, Sen Wu, P. Kellman, 2023, Journal of medical imaging.

Distributed MRI reconstruction using gadgetron‐based cloud computing

Peter Kellman, Souheil Inati, Hui Xue, 2015, Magnetic resonance in medicine.

Automatic Segmentation of the Myocardium in Cine MR Images Using Deformable Registration

Xiaoguang Lu, Marie-Pierre Jolly, Hui Xue, 2011, STACOM.

Impact of diabetes on remodelling, microvascular function and exercise capacity in aortic stenosis

P. Kellman, M. Jerosch-Herold, J. Greenwood, 2023, Open Heart.

COVID-19: Myocardial injury in survivors.

P. Kellman, J. Moon, D. Knight, 2020, Circulation.

Moving propagation of suspicious myocardial infarction from delayed enhanced cardiac imaging to CINE MRI using hybrid image registration

Marie-Pierre Jolly, Nikos Chrisochoides, Hui Xue, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Convolutional neural network transformer (CNNT) for free-breathing real-time cine imaging

P. Kellman, H. Xue, R. Davies, 2022, European Heart Journal - Cardiovascular Imaging.

Distributed MRI reconstruction using gadgetron‐based cloud computing

S. Inati, P. Kellman, T. Sørensen, 2015, Magnetic resonance in medicine.

Real‐time distortion correction of spiral and echo planar images using the gradient system impulse response function

Hui Xue, Michael S Hansen, Adrienne E Campbell-Washburn, 2016, Magnetic resonance in medicine.

Sex- and age-specific normal values for automated quantitative pixel-wise myocardial perfusion cardiovascular magnetic resonance

P. Kellman, S. Plein, J. Moon, 2022, European heart journal. Cardiovascular Imaging.

Post-COVID-19 illness and associations with sex and gender

P. Macfarlane, P. Kellman, D. Husmeier, 2023, BMC Cardiovascular Disorders.