Qiang Zhang

Qiang Zhang

University of Oxford

H-index: 11

Europe-United Kingdom

About Qiang Zhang

Qiang Zhang, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at University of Oxford,

His recent articles reflect a diverse array of research interests and contributions to the field:

Myocardial strain measurements derived from MR feature-tracking: influence of sex, age, field strength, and vendor

Gadolinium-FBee Virtual Native Enhancement for Chronic Myocardial Infarction Assessment: Independent Blinded Validation and Reproducibility Between Two Centres

Automated CMR index of left ventricular diastolic function (e'): a validation study against echocardiography in the large-scale Beta3-LVH trial

Deep learning for automated insertion point annotation of CMR late gadolinium enhancement and virtual native enhancement images

Frontiers in Cardiovascular Medicine Editorial: Generative Adversarial Networks in Cardiovascular Research

TVnet: a deep-learning approach for enhanced right ventricular function analysis through tricuspid valve motion tracking

Quality control-driven framework for reliable automated segmentation of cardiac magnetic resonance LGE and VNE images

Acute response in the noninfarcted myocardium predicts long-term major adverse cardiac events after STEMI

Qiang Zhang Information

University

Position

___

Citations(all)

354

Citations(since 2020)

334

Cited By

56

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

11

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Top articles of Qiang Zhang

Title

Journal

Author(s)

Publication Date

Myocardial strain measurements derived from MR feature-tracking: influence of sex, age, field strength, and vendor

JACC: Cardiovascular Imaging

Wenjing Yang

Jing Xu

Leyi Zhu

Qiang Zhang

Yining Wang

...

2024/4/1

Gadolinium-FBee Virtual Native Enhancement for Chronic Myocardial Infarction Assessment: Independent Blinded Validation and Reproducibility Between Two Centres

Journal of Cardiovascular Magnetic Resonance

Peter Swoboda

Patrick Thompson

Qiang Zhang

Mubien Shabi

Stefan Neubauer

...

2024/3/1

Automated CMR index of left ventricular diastolic function (e'): a validation study against echocardiography in the large-scale Beta3-LVH trial

Ricardo A Gonzales

Per M Arvidsson

Elena Lukaschuk

Jean-Luc Balligand

Einar Heiberg

...

2024

Deep learning for automated insertion point annotation of CMR late gadolinium enhancement and virtual native enhancement images

Ricardo A Gonzales

Qiang Zhang

Matthew K Burrage

İ Altun

Einar Heiberg

...

2023/1/25

Frontiers in Cardiovascular Medicine Editorial: Generative Adversarial Networks in Cardiovascular Research

Frontiers in Cardiovascular Medicine

Qiang Zhang

Tolga Cukur

Hayit Greenspan

Guang Yang

2023

TVnet: a deep-learning approach for enhanced right ventricular function analysis through tricuspid valve motion tracking

Ricardo A Gonzales

Jérôme Lamy

Katharine E Thomas

Kit Yiu

Qiang Zhang

...

2023

Quality control-driven framework for reliable automated segmentation of cardiac magnetic resonance LGE and VNE images

Ricardo A Gonzales

Daniel H Ibáñez

Evan Hann

Iulia A Popescu

Matthew K Burrage

...

2023

Acute response in the noninfarcted myocardium predicts long-term major adverse cardiac events after STEMI

Cardiovascular Imaging

Mayooran Shanmuganathan

Ambra Masi

Matthew K Burrage

Rafail A Kotronias

Alessandra Borlotti

...

2023/1/1

Quality control-driven deep ensemble for accountable automated segmentation of cardiac magnetic resonance LGE and VNE images

Frontiers in Cardiovascular Medicine

Ricardo A Gonzales

Daniel H Ibáñez

Evan Hann

Iulia A Popescu

Matthew K Burrage

...

2023/9/11

TVnet: automated global analysis of tricuspid valve plane motion in CMR long-axis cines with residual neural networks for assessment of right ventricular function

European Heart Journal-Cardiovascular Imaging

Ricardo A Gonzales

J Lamy

Katharine E Thomas

Qiang Zhang

Mayooran Shanmuganathan

...

2022/1/1

Enhancement of medical images

2022/10/27

Method and apparatus for quality prediction

2022/4/21

Development of deep learning virtual native enhancement for gadolinium-free myocardial infarction and viability assessment

Qiang Zhang

Matthew K Burrage

Mayooran Shanmuganathan

Ricardo A Gonzales

Chrysovalantou Nikolaidou

...

2022/2/2

Fast and robust motion correction of cardiovascular magnetic resonance T1-mapping using data-driven convolutional neural networks for generalisability

Ricardo A Gonzales

Qiang Zhang

BW Papież

Konrad Werys

Elena Lukaschuk

...

2022/2/2

Quality control-driven artificial intelligence for reliable automatic segmentation of LGE images in clinical practice

Ricardo A Gonzales

Qiang Zhang

Evan Hann

V Ferreira

S Piechnik

2022/1/1

Artificial intelligence for contrast-free MRI: scar assessment in myocardial infarction using deep learning–based virtual native enhancement

Circulation

Qiang Zhang

Matthew K Burrage

Mayooran Shanmuganathan

Ricardo A Gonzales

Elena Lukaschuk

...

2022/11/15

Standardization of T1-mapping in cardiovascular magnetic resonance using clustered structuring for benchmarking normal ranges

international Journal of cardiology

Iulia A Popescu

Konrad Werys

Qiang Zhang

Henrike Puchta

Evan Hann

...

2021/3/1

Ensemble of deep convolutional neural networks with monte carlo dropout sampling for automated image segmentation quality control and robust deep learning using small datasets

Evan Hann

Ricardo A Gonzales

Iulia A Popescu

Qiang Zhang

Vanessa M Ferreira

...

2021/7/6

Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping

Medical image analysis

Evan Hann

Iulia A Popescu

Qiang Zhang

Ricardo A Gonzales

Ahmet Barutçu

...

2021/7/1

Endogenous T1ρ cardiovascular magnetic resonance in hypertrophic cardiomyopathy

Journal of Cardiovascular Magnetic Resonance

Elizabeth W Thompson

Srikant Kamesh Iyer

Michael P Solomon

Zhaohuan Li

Qiang Zhang

...

2021/12

See List of Professors in Qiang Zhang University(University of Oxford)

Co-Authors

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