Archontis Giannakidis, Konstantinos Kamnitsas, Veronica Spadotto, Jennifer Keegan, Gillian Smith, Ben Glocker, Daniel Rueckert, Sabine Ernst, Michael A. Gatzoulis, Dudley J. Pennell, Sonya Babu-Narayan, David N. Firmin. Fast Fully Automatic Segmentation of the Severely Abnormal Human Right Ventricle from Cardiovascular Magnetic Resonance Images Using a Multi-Scale 3D Convolutional Neural Network. In Kokou Yétongnon, Albert Dipanda, Richard Chbeir, Giuseppe De Pietro, Luigi Gallo, editors, 12th International Conference on Signal-Image Technology & Internet-Based Systems, SITIS 2016, Naples, Italy, November 28 - December 1, 2016. pages 42-46, IEEE Computer Society, 2016. [doi]
@inproceedings{GiannakidisKSKS16,
title = {Fast Fully Automatic Segmentation of the Severely Abnormal Human Right Ventricle from Cardiovascular Magnetic Resonance Images Using a Multi-Scale 3D Convolutional Neural Network},
author = {Archontis Giannakidis and Konstantinos Kamnitsas and Veronica Spadotto and Jennifer Keegan and Gillian Smith and Ben Glocker and Daniel Rueckert and Sabine Ernst and Michael A. Gatzoulis and Dudley J. Pennell and Sonya Babu-Narayan and David N. Firmin},
year = {2016},
doi = {10.1109/SITIS.2016.16},
url = {http://dx.doi.org/10.1109/SITIS.2016.16},
researchr = {https://researchr.org/publication/GiannakidisKSKS16},
cites = {0},
citedby = {0},
pages = {42-46},
booktitle = {12th International Conference on Signal-Image Technology & Internet-Based Systems, SITIS 2016, Naples, Italy, November 28 - December 1, 2016},
editor = {Kokou Yétongnon and Albert Dipanda and Richard Chbeir and Giuseppe De Pietro and Luigi Gallo},
publisher = {IEEE Computer Society},
isbn = {978-1-5090-5698-9},
}