Hyperspectral image classification based on Multiple Improved particle swarm cooperative optimization and SVM. - Yuemei Ren; Yanning Zhang 001; Qingjie Meng; Lei Zhang 054 (ICPR, 2012)

An associative saliency segmentation method for infrared targets. - Lei Zhang 054; Yanning Zhang 001; Wei Wei 008; Qingjie Meng (ICIP, 2013)

Spectral Unmixing for Hyperspectral Image Classification with an Adaptive Endmember Selection. - Qingjie Meng; Yanning Zhang 001; Wei Wei 008; Lei Zhang 054 (IScIDE, 2013)

Automatic Shadow Detection in 2D Ultrasound Images. - Qingjie Meng; Christian F. Baumgartner; Matthew Sinclair; James Housden; Martin Rajchl; Alberto Gómez 002; Benjamin Hou; Nicolas Toussaint; Veronika A. M. Zimmer; Jeremy Tan; Jacqueline Matthew; Daniel Rueckert; et al. (DATRA/PIPPI@MICCAI, 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 002; James Housden; Jacqueline Matthew; Daniel Rueckert; Julia A. Schnabel; Bernhard Kainz (CoRR, 2018)

Representation Disentanglement for Multi-task Learning with Application to Fetal Ultrasound. - Qingjie Meng; Nick Pawlowski; Daniel Rueckert; Bernhard Kainz (SUSI/PIPPI@MICCAI, 2019)

Semi-supervised Learning of Fetal Anatomy from Ultrasound. - Jeremy Tan; Anselm Au; Qingjie Meng; Bernhard Kainz (DART/MIL3ID@MICCAI, 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; et al. (IEEE Trans. Medical Imaging, 2019)

Ultrasound Video Summarization Using Deep Reinforcement Learning. - Tianrui Liu; Qingjie Meng; Athanasios Vlontzos; Jeremy Tan; Daniel Rueckert; Bernhard Kainz (MICCAI (3), 2020)

Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment. - Qingjie Meng; Daniel Rueckert; Bernhard Kainz (ASMUS/PIPPI@MICCAI, 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 003; Bernhard Kainz (ASMUS/PIPPI@MICCAI, 2020)

Learning Cross-domain Generalizable Features by Representation Disentanglement. - Qingjie Meng; Daniel Rueckert; Bernhard Kainz (CoRR, 2020)

Big data security access control algorithm based on memory index acceleration in WSNs. - Jianhua Peng; Hui Zhou 003; Qingjie Meng; Jingli Yang (EURASIP J. Wirel. Commun. Netw., 2020)

Topic popularity prediction of online social network based on single objective evolution. - Qingjie Meng (Int. J. Auton. Adapt. Commun. Syst., 2020)

Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net. - Tianrui Liu; Qingjie Meng; Junjie Huang 001; Athanasios Vlontzos; Daniel Rueckert; Bernhard Kainz (CoRR, 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 002; David F. A. Lloyd; Daniel Rueckert; Bernhard Kainz (IEEE Trans. Medical Imaging, 2021)

Mesh-Based 3D Motion Tracking in Cardiac MRI Using Deep Learning. - Qingjie Meng; Wenjia Bai; Tianrui Liu; Declan P. O'Regan; Daniel Rueckert (MICCAI (6), 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 (CoRR, 2022)

Video Summarization Through Reinforcement Learning With a 3D Spatio-Temporal U-Net. - Tianrui Liu 001; Qingjie Meng; Junjie Huang 001; Athanasios Vlontzos; Daniel Rueckert; Bernhard Kainz (IEEE Trans. Image Process., 2022)

MulViMotion: Shape-Aware 3D Myocardial Motion Tracking From Multi-View Cardiac MRI. - Qingjie Meng; Chen Qin; Wenjia Bai; Tianrui Liu 001; Antonio de Marvao; Declan P. O'Regan; Daniel Rueckert (IEEE Trans. Medical Imaging, 2022)

Robust Segmentation via Topology Violation Detection and Feature Synthesis. - Liu Li; Qiang Ma 004; Cheng Ouyang; Zeju Li; Qingjie Meng; Weitong Zhang; Mengyun Qiao; Vanessa Kyriakopoulou; Joseph V. Hajnal; Daniel Rueckert; Bernhard Kainz (MICCAI (4), 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 (MICCAI (10), 2023)

EchoNet-Synthetic: Privacy-Preserving Video Generation for Safe Medical Data Sharing. - Hadrien Reynaud; Qingjie Meng; Mischa Dombrowski; Arijit Ghosh; Thomas G. Day; Alberto Gómez 002; Paul Leeson; Bernhard Kainz (MICCAI (7), 2024)

JVID: Joint Video-Image Diffusion for Visual-Quality and Temporal-Consistency in Video Generation. - Hadrien Reynaud; Matthew Baugh; Mischa Dombrowski; Sarah Cechnicka; Qingjie Meng; Bernhard Kainz (CoRR, 2024)

DeepMesh: Mesh-Based Cardiac Motion Tracking Using Deep Learning. - Qingjie Meng; Wenjia Bai; Declan P. O'Regan; Daniel Rueckert (IEEE Trans. Medical Imaging, 2024)

SACB-Net: Spatial-awareness Convolutions for Medical Image Registration. - Xinxing Cheng; Tianyang Zhang 003; Wenqi Lu 001; Qingjie Meng; Alejandro F. Frangi; Jinming Duan 001 (CVPR, 2025)

EchoFlow: A Foundation Model for Cardiac Ultrasound Image and Video Generation. - Hadrien Reynaud; Alberto Gómez 002; Paul Leeson; Qingjie Meng; Bernhard Kainz (CoRR, 2025)

MCM: Mamba-based Cardiac Motion Tracking using Sequential Images in MRI. - Jiahui Yin; Xinxing Cheng; Jinming Duan 001; Yan Pang; Declan P. O'Regan; Hadrien Reynaud; Qingjie Meng (CoRR, 2025)