Tetiana Biloborodova, Inna Skarga-Bandurova, Mark Koverha, Illia Skarha-Bandurov, Yelyzaveta Yevsieieva. A Learning Framework for Medical Image-Based Intelligent Diagnosis from Imbalanced Datasets. In Jaime Delgado, Arriel Benis, Paula de Toledo, Parisis Gallos, Mauro Giacomini, Alicia Martinez-García, Dario Salvi, editors, Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era - Proceedings of the 2021 EFMI Special Topic Conference, EFMI-STC 2021, Virtual Event / Seville, Spain, 22 - 24 November 2021. Volume 287 of Studies in Health Technology and Informatics, pages 13-17, IOS Press, 2021. [doi]
@inproceedings{BiloborodovaSKS21-0,
title = {A Learning Framework for Medical Image-Based Intelligent Diagnosis from Imbalanced Datasets},
author = {Tetiana Biloborodova and Inna Skarga-Bandurova and Mark Koverha and Illia Skarha-Bandurov and Yelyzaveta Yevsieieva},
year = {2021},
doi = {10.3233/SHTI210801},
url = {https://doi.org/10.3233/SHTI210801},
researchr = {https://researchr.org/publication/BiloborodovaSKS21-0},
cites = {0},
citedby = {0},
pages = {13-17},
booktitle = {Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era - Proceedings of the 2021 EFMI Special Topic Conference, EFMI-STC 2021, Virtual Event / Seville, Spain, 22 - 24 November 2021},
editor = {Jaime Delgado and Arriel Benis and Paula de Toledo and Parisis Gallos and Mauro Giacomini and Alicia Martinez-García and Dario Salvi},
volume = {287},
series = {Studies in Health Technology and Informatics},
publisher = {IOS Press},
isbn = {978-1-64368-237-2},
}