Publications

MCM: Mamba-Based Cardiac Motion Tracking Using Sequential Images in MRI
Jiahui Yin, Xinxing Cheng, Jinming Duan, Yan Pang, Declan O’Regan, Hadrien Reynaud, Qingjie Meng
International Workshop on Reconstruction and Imaging Motion Estimation (RIME), 2025.
Paper
CardiacFlow: 3D+ t Four-Chamber Cardiac Shape Completion and Generation via Flow Matching
Qiang Ma, Qingjie Meng, Mengyun Qiao, Paul M Matthews, Declan P O’Regan, Wenjia Bai
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025.
Paper
SACB-Net: Spatial-awareness Convolutions for Medical Image Registration
Xinxing Cheng, Tianyang Zhang, Wenqi Lu, Qingjie Meng, Alejandro F. Frangi, Jinming Duan
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
Paper
Echonet-synthetic: Privacy-preserving video generation for safe medical data sharing
Hadrien Reynaud, Qingjie Meng, Mischa Dombrowski, Arijit Ghosh, Thomas Day, Alberto Gomez, Paul Leeson, Bernhard Kainz
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024.
Paper Code Demo
DeepMesh: Mesh-based Cardiac Motion Tracking using Deep Learning
Qingjie Meng, Wenjia Bai, Declan P O’Regan, Daniel Rueckert
IEEE Transactions on Medical Imaging, 2023. (Journal)
Paper Code
MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI
Weitong Zhang, Berke Basaran, Qingjie Meng, Matthew Baugh, Jonathan Stelter, Phillip Lung, Uday Patel, Wenjia Bai, Dimitrios Karampinos, Bernhard Kainz
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023.
Paper
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
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023.
Paper
Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning
Qingjie Meng, Wenjia Bai, Tianrui Liu, Declan P O’Regan, Daniel Rueckert
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022.
Paper Code
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 Transactions on Medical Imaging, 2022. (Journal)
Paper Code
Exploring a new paradigm for the fetal anomaly ultrasound scan: Artificial intelligence in real time
Jacqueline Matthew, Emily Skelton, Thomas G Day, Veronika A Zimmer, Alberto Gomez, Gavin Wheeler, Nicolas Toussaint, Tianrui Liu, Samuel Budd, Karen Lloyd, Robert Wright, Shujie Deng, Nooshin Ghavami, Matthew Sinclair, Qingjie Meng, Bernhard Kainz, Julia A Schnabel, Daniel Rueckert, Reza Razavi, John Simpson, Jo Hajnal
Prenatal Diagnosis, 2022.
Paper
Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net
Tianrui Liu,Qingjie Meng, Jun-Jie Huang, Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz
IEEE Transactions on Image Processing, 2022. (Journal)
Paper
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 Gomez, David F A Lloyd, Daniel Rueckert, Bernhard Kainz
IEEE Transactions on Medical Imaging, 2020. (Journal)
Paper Code
Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment
Qingjie Meng, Daniel Rueckert, Bernhard Kainz
International Workshop on Advances in Simplifying Medical Ultrasound (ASMUS), 2020.
Paper Code
Ultrasound Video Summarization using Deep Reinforcement Learning
Tianrui Liu, Qingjie Meng, Athanasios Vlontzos, Jeremy Tan, Daniel Rueckert, Bernhard Kainz
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020.
Paper
Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening
Jeremy Tan, Anselm Au, Qingjie Meng, Sandy FinesilverSmith, John Simpson, Daniel Rueckert, Reza Razavi, Thomas Day, David Lloyd, Bernhard Kainz
International Workshop on Preterm, Perinatal and Paediatric Image Analysis (PIPPI), 2020.
Paper
Weakly supervised estimation of shadow confidence maps in fetal ultrasound imaging
Qingjie Meng, Matthew Sinclair, Veronika Zimmer, Benjamin Hou, Martin Rajchl, Nicolas Toussaint, Jeremy Tan, Jacqueline Matthew, Daniel Rueckert, Julia A Schnabel, Bernhard Kainz
IEEE Transactions on Medical Imaging, 2019. (Journal)
Paper Code
Representation disentanglement for multi-task learning with application to fetal ultrasound
Qingjie Meng, Nick Pawlowski, Daniel Rueckert, Bernhard Kainz
International Workshop on Smart Ultrasound Imaging (SUSI), 2019.
Paper Code