2024

• 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]

2023

• 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]

2022

• 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]

2021

• 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, 2021. (Journal)
  [Paper]

2020

• 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 FA 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]

2019

• 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, 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]

• Semi-supervised Learning of Fetal Anatomy from Ultrasound
  Jeremy Tan, Anselm Au, Qingjie Meng, Bernhard Kainz
  International Workshop on Medical Image Learning with Less Labels and Imperfect Data (MIL3ID), 2019.
  [Paper]

2018

• Automatic Shadow Detection in 2D Ultrasound Images
  Qingjie Meng, Christian Baumgartner, Matthew Sinclair, James Housden, Martin Rajchl, Alberto Gomez, Benjamin Hou, Nicolas Toussaint, Jeremy Tan, Jacqueline Matthew, Daniel Rueckert, Julia Schnabel, Bernhard Kainz
  International Workshop on Preterm, Perinatal and Paediatric Image Analysis (PIPPI), 2018.
  [Paper]

Before 2013

• Spectral Unmixing for Hyperspectral Image Classification with an Adaptive Endmember Selection
  Qingjie Meng, Yanning Zhang, Wei Wei, Lei Zhang
  Intelligence Science and Big Data Engineering: 4th International Conference (IScIDE), 2013.
  [Paper]

• Class-specific artificial immune recognition method for hyperspectral image classification
  Qingjie Meng, Yanning Zhang, Yuemei Ren, Hongwei She
  IEEE 11th International Conference on Signal Processing (ICSP), 2012.
  [Paper]

• An associative saliency segmentation method for infrared targets
  Lei Zhang, Yanning Zhang, Wei Wei, Qingjie Meng
  2013 IEEE International Conference on Image Processing (ICIP), 2013.
  [Paper]

• Hyperspectral image classification based on Multiple Improved particle swarm cooperative optimization and SVM
  Yuemei Ren, Yanning Zhang, Qingjie Meng, Lei Zhang
  International Conference on Pattern Recognition (ICPR2012), 2012.
  [Paper]

• Subspace Divided Semi-Supervised SVM Classification for Hyperspectral Images
  She Hongwei, Meng Qingjie, Ren Yuemei
  International Conference on Intelligent Science and Intelligent Data Engineering (IScIDE), 2011.
  [Paper]