Ruxandra Stoean, Dominic Iliescu, Catalin Stoean, Vlad Ilie, Ciprian Patru, Mircea Hotoleanu, Rodica Nagy, Dan Ruican, Rares Trocan, Andreea Marcu, Miguel Atencia, Gonzalo Joya. Deep Learning for the Detection of Frames of Interest in Fetal Heart Assessment from First Trimester Ultrasound. In Ignacio Rojas, Gonzalo Joya, Andreu Català, editors, Advances in Computational Intelligence - 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16-18, 2021, Proceedings, Part I. Volume 12861 of Lecture Notes in Computer Science, pages 3-14, Springer, 2021. [doi]
@inproceedings{StoeanISIPHNRTM21,
title = {Deep Learning for the Detection of Frames of Interest in Fetal Heart Assessment from First Trimester Ultrasound},
author = {Ruxandra Stoean and Dominic Iliescu and Catalin Stoean and Vlad Ilie and Ciprian Patru and Mircea Hotoleanu and Rodica Nagy and Dan Ruican and Rares Trocan and Andreea Marcu and Miguel Atencia and Gonzalo Joya},
year = {2021},
doi = {10.1007/978-3-030-85030-2_1},
url = {https://doi.org/10.1007/978-3-030-85030-2_1},
researchr = {https://researchr.org/publication/StoeanISIPHNRTM21},
cites = {0},
citedby = {0},
pages = {3-14},
booktitle = {Advances in Computational Intelligence - 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16-18, 2021, Proceedings, Part I},
editor = {Ignacio Rojas and Gonzalo Joya and Andreu Català},
volume = {12861},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-85030-2},
}