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Mutual Information-based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging


Oct 30, 2020
Qingjie Meng, Jacqueline Matthew, Veronika A. Zimmer, Alberto Gomez, David F. A. Lloyd, Daniel Rueckert, Bernhard Kainz

* arXiv admin note: substantial text overlap with arXiv:2003.00321 

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Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment


Aug 19, 2020
Qingjie Meng, Daniel Rueckert, Bernhard Kainz


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Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening


Aug 18, 2020
Jeremy Tan, Anselm Au, Qingjie Meng, Sandy FinesilverSmith, John Simpson, Daniel Rueckert, Reza Razavi, Thomas Day, David Lloyd, Bernhard Kainz


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Automated Detection of Congenital HeartDisease in Fetal Ultrasound Screening


Aug 16, 2020
Jeremy Tan, Anselm Au, Qingjie Meng, Sandy FinesilverSmith, John Simpson, Daniel Rueckert, Reza Razavi, Thomas Day, David Lloyd, Bernhard Kainz


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Ultrasound Video Summarization using Deep Reinforcement Learning


May 19, 2020
Tianrui Liu, Qingjie Meng, Athanasios Vlontzos, Jeremy Tan, Daniel Rueckert, Bernhard Kainz

* Accepted by MICCAI'20 

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Learning Cross-domain Generalizable Features by Representation Disentanglement


Feb 29, 2020
Qingjie Meng, Daniel Rueckert, Bernhard Kainz


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Semi-supervised Learning of Fetal Anatomy from Ultrasound


Aug 30, 2019
Jeremy Tan, Anselm Au, Qingjie Meng, Bernhard Kainz


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Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound


Aug 21, 2019
Qingjie Meng, Nick Pawlowski, Daniel Rueckert, Bernhard Kainz


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Weakly Supervised Estimation of Shadow Confidence Maps in Ultrasound Imaging


Nov 21, 2018
Qingjie Meng, Matthew Sinclair, Veronika Zimmer, Benjamin Hou, Martin Rajchl, Nicolas Toussaint, Alberto Gomez, James Housden, Jacqueline Matthew, Daniel Rueckert, Julia Schnabel, Bernhard Kainz


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