Qingjie Meng

According to our database, Qingjie Meng authored at least 22 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DeepMesh: Mesh-Based Cardiac Motion Tracking Using Deep Learning.

Qingjie Meng, Wenjia Bai, Declan P. O'Regan, Daniel Rueckert

IEEE Trans. Medical Imaging, April, 2024

2023

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

Weitong Zhang, Berke Doga Basaran, Qingjie Meng, Matthew Baugh, Jonathan K. Stelter, Phillip Lung, Uday Patel, Wenjia Bai, Dimitrios C. Karampinos, Bernhard Kainz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Robust Segmentation via Topology Violation Detection and Feature Synthesis.

Liu Li, Qiang Ma, Cheng Ouyang, Zeju Li, Qingjie Meng, Weitong Zhang, Mengyun Qiao, Vanessa Kyriakopoulou, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

MulViMotion: Shape-Aware 3D Myocardial Motion Tracking From Multi-View Cardiac MRI.

Qingjie Meng, Chen Qin, Wenjia Bai, Tianrui Liu, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert

IEEE Trans. Medical Imaging, 2022

Video Summarization Through Reinforcement Learning With a 3D Spatio-Temporal U-Net.

Tian-Rui Liu, Qingjie Meng, Junjie Huang, Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz

IEEE Trans. Image Process., 2022

Mesh-Based 3D Motion Tracking in Cardiac MRI Using Deep Learning.

Qingjie Meng, Wenjia Bai, Tianrui Liu, Declan P. O'Regan, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging.

Qingjie Meng, Jacqueline Matthew, Veronika A. Zimmer, Alberto Gómez, David F. A. Lloyd, Daniel Rueckert, Bernhard Kainz

IEEE Trans. Medical Imaging, 2021

Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net.

Tianrui Liu, Qingjie Meng, Junjie Huang, Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz

CoRR, 2021

2020

Topic popularity prediction of online social network based on single objective evolution.

Qingjie Meng

Int. J. Auton. Adapt. Commun. Syst., 2020

Big data security access control algorithm based on memory index acceleration in WSNs.

Jianhua Peng, Hui Zhou, Qingjie Meng, Jingli Yang

EURASIP J. Wirel. Commun. Netw., 2020

Learning Cross-domain Generalizable Features by Representation Disentanglement.

Qingjie Meng, Daniel Rueckert, Bernhard Kainz

CoRR, 2020

Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening.

Jeremy Tan, Anselm Au, Qingjie Meng, Sandy FinesilverSmith, John M. Simpson, Daniel Rueckert, Reza Razavi, Thomas G. Day, David Lloyd, Bernhard Kainz

Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment.

Qingjie Meng, Daniel Rueckert, Bernhard Kainz

Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

Ultrasound Video Summarization Using Deep Reinforcement Learning.

Tianrui Liu, Qingjie Meng, Athanasios Vlontzos, Jeremy Tan, Daniel Rueckert, Bernhard Kainz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging.

Qingjie Meng, James Housden, Jacqueline Matthew, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz, Matthew Sinclair, Veronika A. Zimmer, Benjamin Hou, Martin Rajchl, Nicolas Toussaint, Ozan Oktay, Jo Schlemper, Alberto Gómez

IEEE Trans. Medical Imaging, 2019

Semi-supervised Learning of Fetal Anatomy from Ultrasound.

Jeremy Tan, Anselm Au, Qingjie Meng, Bernhard Kainz

Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

Representation Disentanglement for Multi-task Learning with Application to Fetal Ultrasound.

Qingjie Meng, Nick Pawlowski, Daniel Rueckert, Bernhard Kainz

Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019

2018

Weakly Supervised Estimation of Shadow Confidence Maps in Ultrasound Imaging.

Qingjie Meng, Matthew Sinclair, Veronika A. M. Zimmer, Benjamin Hou, Martin Rajchl, Nicolas Toussaint, Alberto Gómez, James Housden, Jacqueline Matthew, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz

CoRR, 2018

Automatic Shadow Detection in 2D Ultrasound Images.

Qingjie Meng, Christian F. Baumgartner, Matthew Sinclair, James Housden, Martin Rajchl, Alberto Gómez, Benjamin Hou, Nicolas Toussaint, Veronika A. M. Zimmer, Jeremy Tan, Jacqueline Matthew, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz

Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018

2013

Spectral Unmixing for Hyperspectral Image Classification with an Adaptive Endmember Selection.

Qingjie Meng, Yanning Zhang, Wei Wei, Lei Zhang

Proceedings of the Intelligence Science and Big Data Engineering, 2013

An associative saliency segmentation method for infrared targets.

Lei Zhang, Yanning Zhang, Wei Wei, Qingjie Meng

Proceedings of the IEEE International Conference on Image Processing, 2013

2012

Hyperspectral image classification based on Multiple Improved particle swarm cooperative optimization and SVM.

Yuemei Ren, Yanning Zhang, Qingjie Meng, Lei Zhang

Proceedings of the 21st International Conference on Pattern Recognition, 2012