Selected Projects

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 (TMI), 2023
[Paper] [Code]

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]

Multi-view Self-supervised Disentanglement for General Image Denoising
Qingjie Meng, Chen Qin, Wenjia Bai, Tianrui Liu, Antonio De Marvao, Declan P O’Regan, Daniel Rueckert
IEEE Transactions on Medical Imaging (TMI), 2022
[Paper] [Code]

Mutual Information-based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains
Qingjie Meng, Jacqueline Matthew, Veronika A Zimmer, Alberto Gomez, David FA Lloyd, Daniel Rueckert, Bernhard Kainz
IEEE Transactions on Medical Imaging (TMI), 2020
[Paper] [Code]

Weakly supervised estimation of shadow confidence maps in fetal ultrasound imaging
Qingjie Meng, Matthew Sinclair, Veronika Zimmer, Benjamin Hou, Martin Rajchl, Nicolas Toussaint, Ozan Oktay, Jo Schlemper, Alberto Gomez, James Housden, Jacqueline Matthew, Daniel Rueckert, Julia A Schnabel, Bernhard Kainz.
IEEE Transactions on Medical Imaging (TMI), 2019
[Paper] [Code]