Qingjie Meng

Qingjie Meng

Imperial College London

H-index: 10

Europe-United Kingdom

About Qingjie Meng

Qingjie Meng, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Machine Learning, Deep Learning, Medical Image Analysis.

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

DeepMesh: Mesh-based Cardiac Motion Tracking using Deep Learning

Robust Segmentation via Topology Violation Detection and Feature Synthesis

MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI

Cardiac age prediction using graph neural networks

Mesh-based 3d motion tracking in cardiac mri using deep learning

Mulvimotion: Shape-aware 3d myocardial motion tracking from multi-view cardiac mri

Video summarization through reinforcement learning with a 3D spatio-temporal u-net

Exploring a new paradigm for the fetal anomaly ultrasound scan: Artificial intelligence in real time

Qingjie Meng Information

University

Position

___

Citations(all)

288

Citations(since 2020)

280

Cited By

55

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

12

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Qingjie Meng Skills & Research Interests

Machine Learning

Deep Learning

Medical Image Analysis

Top articles of Qingjie Meng

DeepMesh: Mesh-based Cardiac Motion Tracking using Deep Learning

IEEE Transactions on Medical Imaging

2023/12/8

Qingjie Meng
Qingjie Meng

H-Index: 4

Daniel Rueckert
Daniel Rueckert

H-Index: 85

Robust Segmentation via Topology Violation Detection and Feature Synthesis

2023/10/1

MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI

2023/10/1

Cardiac age prediction using graph neural networks

2023/4/20

Mesh-based 3d motion tracking in cardiac mri using deep learning

2022/9/17

Mulvimotion: Shape-aware 3d myocardial motion tracking from multi-view cardiac mri

IEEE transactions on medical imaging

2022/2/24

Video summarization through reinforcement learning with a 3D spatio-temporal u-net

IEEE transactions on image processing

2022/1/25

VP17. 01: Exploring a new paradigm for the fetal anomaly ultrasound scan: artificial intelligence in real‐time.

Ultrasound in Obstetrics & Gynecology

2021/10/2

Mutual information-based disentangled neural networks for classifying unseen categories in different domains: Application to fetal ultrasound imaging

IEEE transactions on medical imaging

2020/11/3

Learning cross-domain generalizable features by representation disentanglement

arXiv preprint arXiv:2003.00321

2020/2/29

Unsupervised cross-domain image classification by distance metric guided feature alignment

2020

Automated detection of congenital heart disease in fetal ultrasound screening

2020

Ultrasound video summarization using deep reinforcement learning

2020

See List of Professors in Qingjie Meng University(Imperial College London)

Co-Authors

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