/mutual-information-based-disentangled-neural-networks

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

Primary LanguagePython

mutual-information-based-disentangled-neural-networks

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

@article{meng2020MIDNet,
 author = {Qingjie Meng and Jacqueline Matthew and Veronika A. Zimmer and Alberto Gomez and David F. A. Lloyd and Daniel Rueckert and Bernhard Kainz},
 title = {Mutual Information-based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging},
 journal = {IEEE Transactions on Medical Imaging},
 month = October,
 year = {2020},
 issn = {0278-0062},
 publisher = {IEEE},
}

If you make use of the code, please cite the paper in any resulting publications.

This code (residual_def.py) uses the residual unit from toolkit DLTK (https://dltk.github.io/). Please install the DLTK before using residual_modef.py