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Qingjie Meng
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Journal Articles
- 2024
- [j7]Qingjie Meng
, Wenjia Bai
, Declan P. O'Regan
, Daniel Rueckert
:
DeepMesh: Mesh-Based Cardiac Motion Tracking Using Deep Learning. IEEE Trans. Medical Imaging 43(4): 1489-1500 (2024) - 2022
- [j6]Tian-Rui Liu
, Qingjie Meng
, Junjie Huang
, Athanasios Vlontzos, Daniel Rueckert
, Bernhard Kainz
:
Video Summarization Through Reinforcement Learning With a 3D Spatio-Temporal U-Net. IEEE Trans. Image Process. 31: 1573-1586 (2022) - [j5]Qingjie Meng
, Chen Qin
, Wenjia Bai
, Tianrui Liu
, Antonio de Marvao
, Declan P. O'Regan
, Daniel Rueckert
:
MulViMotion: Shape-Aware 3D Myocardial Motion Tracking From Multi-View Cardiac MRI. IEEE Trans. Medical Imaging 41(8): 1961-1974 (2022) - 2021
- [j4]Qingjie Meng
, Jacqueline Matthew
, Veronika A. Zimmer
, Alberto Gómez
, David F. A. Lloyd
, Daniel Rueckert
, Bernhard Kainz
:
Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging. IEEE Trans. Medical Imaging 40(2): 722-734 (2021) - 2020
- [j3]Jianhua Peng
, Hui Zhou, Qingjie Meng, Jingli Yang:
Big data security access control algorithm based on memory index acceleration in WSNs. EURASIP J. Wirel. Commun. Netw. 2020(1): 90 (2020) - [j2]Qingjie Meng:
Topic popularity prediction of online social network based on single objective evolution. Int. J. Auton. Adapt. Commun. Syst. 13(4): 371-388 (2020) - 2019
- [j1]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
:
Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging. IEEE Trans. Medical Imaging 38(12): 2755-2767 (2019)
Conference and Workshop Papers
- 2023
- [c12]Liu Li, Qiang Ma, Cheng Ouyang, Zeju Li, Qingjie Meng, Weitong Zhang, Mengyun Qiao, Vanessa Kyriakopoulou, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz
:
Robust Segmentation via Topology Violation Detection and Feature Synthesis. MICCAI (4) 2023: 67-77 - [c11]Weitong Zhang, Berke Doga Basaran, Qingjie Meng, Matthew Baugh, Jonathan K. Stelter, Phillip Lung, Uday Patel, Wenjia Bai, Dimitrios C. Karampinos, Bernhard Kainz
:
MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI. MICCAI (10) 2023: 121-131 - 2022
- [c10]Qingjie Meng, Wenjia Bai, Tianrui Liu, Declan P. O'Regan, Daniel Rueckert:
Mesh-Based 3D Motion Tracking in Cardiac MRI Using Deep Learning. MICCAI (6) 2022: 248-258 - 2020
- [c9]Qingjie Meng, Daniel Rueckert, Bernhard Kainz
:
Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment. ASMUS/PIPPI@MICCAI 2020: 146-157 - [c8]Jeremy Tan
, Anselm Au, Qingjie Meng, Sandy FinesilverSmith, John M. Simpson, Daniel Rueckert, Reza Razavi
, Thomas G. Day
, David Lloyd, Bernhard Kainz
:
Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening. ASMUS/PIPPI@MICCAI 2020: 243-252 - [c7]Tianrui Liu, Qingjie Meng, Athanasios Vlontzos, Jeremy Tan
, Daniel Rueckert, Bernhard Kainz
:
Ultrasound Video Summarization Using Deep Reinforcement Learning. MICCAI (3) 2020: 483-492 - 2019
- [c6]Qingjie Meng, Nick Pawlowski, Daniel Rueckert, Bernhard Kainz
:
Representation Disentanglement for Multi-task Learning with Application to Fetal Ultrasound. SUSI/PIPPI@MICCAI 2019: 47-55 - [c5]Jeremy Tan
, Anselm Au, Qingjie Meng, Bernhard Kainz
:
Semi-supervised Learning of Fetal Anatomy from Ultrasound. DART/MIL3ID@MICCAI 2019: 157-164 - 2018
- [c4]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
:
Automatic Shadow Detection in 2D Ultrasound Images. DATRA/PIPPI@MICCAI 2018: 66-75 - 2013
- [c3]Lei Zhang, Yanning Zhang, Wei Wei, Qingjie Meng:
An associative saliency segmentation method for infrared targets. ICIP 2013: 4264-4268 - [c2]Qingjie Meng, Yanning Zhang, Wei Wei, Lei Zhang:
Spectral Unmixing for Hyperspectral Image Classification with an Adaptive Endmember Selection. IScIDE 2013: 359-367 - 2012
- [c1]Yuemei Ren, Yanning Zhang, Qingjie Meng, Lei Zhang:
Hyperspectral image classification based on Multiple Improved particle swarm cooperative optimization and SVM. ICPR 2012: 2274-2277
Informal and Other Publications
- 2024
- [i13]Hadrien Reynaud, Qingjie Meng, Mischa Dombrowski, Arijit Ghosh, Thomas G. Day, Alberto Gómez, Paul Leeson, Bernhard Kainz:
EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing. CoRR abs/2406.00808 (2024) - 2023
- [i12]Qingjie Meng, Wenjia Bai, Declan P. O'Regan, Daniel Rueckert:
DeepMesh: Mesh-based Cardiac Motion Tracking using Deep Learning. CoRR abs/2309.14306 (2023) - 2022
- [i11]Qingjie Meng, Chen Qin, Wenjia Bai, Tianrui Liu, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert:
MulViMotion: Shape-aware 3D Myocardial Motion Tracking from Multi-View Cardiac MRI. CoRR abs/2208.00034 (2022) - [i10]Qingjie Meng, Wenjia Bai, Tianrui Liu, Declan P. O'Regan, Daniel Rueckert:
Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning. CoRR abs/2209.02004 (2022) - 2021
- [i9]Tianrui Liu, Qingjie Meng, Junjie Huang, Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz:
Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net. CoRR abs/2106.10528 (2021) - 2020
- [i8]Qingjie Meng, Daniel Rueckert, Bernhard Kainz:
Learning Cross-domain Generalizable Features by Representation Disentanglement. CoRR abs/2003.00321 (2020) - [i7]Tianrui Liu, Qingjie Meng, Athanasios Vlontzos, Jeremy Tan, Daniel Rueckert, Bernhard Kainz:
Ultrasound Video Summarization using Deep Reinforcement Learning. CoRR abs/2005.09531 (2020) - [i6]Jeremy Tan, Anselm Au, Qingjie Meng, Sandy FinesilverSmith, John M. Simpson, Daniel Rueckert, Reza Razavi, Thomas G. Day, David Lloyd, Bernhard Kainz:
Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening. CoRR abs/2008.06966 (2020) - [i5]Qingjie Meng, Daniel Rueckert, Bernhard Kainz:
Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment. CoRR abs/2008.08433 (2020) - [i4]Qingjie Meng, Jacqueline Matthew, Veronika A. Zimmer, Alberto Gómez, David F. A. Lloyd, Daniel Rueckert, Bernhard Kainz:
Mutual Information-based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging. CoRR abs/2011.00739 (2020) - 2019
- [i3]Qingjie Meng, Nick Pawlowski, Daniel Rueckert, Bernhard Kainz:
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound. CoRR abs/1908.07885 (2019) - [i2]Jeremy Tan, Anselm Au, Qingjie Meng, Bernhard Kainz:
Semi-supervised Learning of Fetal Anatomy from Ultrasound. CoRR abs/1908.11624 (2019) - 2018
- [i1]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:
Weakly Supervised Estimation of Shadow Confidence Maps in Ultrasound Imaging. CoRR abs/1811.08164 (2018)
Coauthor Index
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