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

Quinjie Meng; Jacqueline Matthew; VA Zimmer; A Gomez; DFA Lloyd; D Rueckert; B Kainz

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

Quinjie Meng, Jacqueline Matthew, VA Zimmer, A Gomez, DFA Lloyd, D Rueckert, B Kainz

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	Ieee Transactions on Medical Imaging
Publication status	Accepted/In press - 2020

Cite this

@article{59cc18b8e8b94fe6ae1917a8f3c8b902,

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

author = "Quinjie Meng and Jacqueline Matthew and VA Zimmer and A Gomez and DFA Lloyd and D Rueckert and B Kainz",

year = "2020",

language = "English",

journal = "Ieee Transactions on Medical Imaging",

issn = "0278-0062",

publisher = "I E E E",

}

TY - JOUR

T1 - Mutual Information-based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging

AU - Meng, Quinjie

AU - Matthew, Jacqueline

AU - Zimmer, VA

AU - Gomez, A

AU - Lloyd, DFA

AU - Rueckert, D

AU - Kainz, B

PY - 2020

Y1 - 2020

M3 - Article

SN - 0278-0062

JO - Ieee Transactions on Medical Imaging

JF - Ieee Transactions on Medical Imaging

ER -