@inproceedings {26927,
	title = {A Web-Based Software for Training and Quality Assessment in the Image Analysis Workflow for Cardiac T1 Mapping MRI},
	journal = {2019 IEEE International Symposium on Multimedia (ISM)},
	year = {2019},
	publisher = {IEEE},
	abstract = {Medical practice makes significant use of imaging scans such as Ultrasound or MRI as a diagnostic tool. They are used in the visual inspection or quantification of medical parameters computed from the images in post-processing. However, the value of such parameters depends much on the user{\textquoteright}s variability, device, and algorithmic differences. In this paper, we focus on quantifying the variability due to the human factor, which can be primarily addressed by the structured training of a human operator. We focus on a specific emerging cardiovascular \gls{mri} methodology, the T1 mapping, that has proven useful to identify a range of pathological alterations of the myocardial tissue structure. Training, especially in emerging techniques, is typically not standardized, varying dramatically across medical centers and research teams. Additionally, training assessment is mostly based on qualitative approaches. Our work aims to provide a software tool combining traditional clinical metrics and convolutional neural networks to aid the training process by gathering contours from multiple trainees, quantifying discrepancy from local gold standard or standardized guidelines, classifying trainees output based on critical parameters that affect contours variability.},
	doi = {10.1109/ISM46123.2019.00047},
	author = {Edvarda Regine {Eriksen} and Hicks, Steven and Riegler, Michael and Halvorsen, P{\r a}l and Carapella, Valentina}
}
@inproceedings {25778,
	title = {Cardiac Mesh Reconstruction from Sparse, Heterogeneous Contours},
	journal = {Medical Image Understanding and Analysis. MIUA 2017. Communications in Computer and Information Science},
	volume = {723},
	year = {2017},
	pages = {169 - 181},
	publisher = {Springer International Publishing},
	address = {Cham},
	isbn = {978-3-319-60963-8},
	issn = {1865-0929},
	doi = {10.1007/978-3-319-60964-510.1007/978-3-319-60964-5_15},
	url = {https://link.springer.com/chapter/10.1007/978-3-319-60964-5_15},
	author = {Villard, Benjamin and Carapella, Valentina and Ariga, Rina and Grau, Vicente and Zacur, Ernesto},
	editor = {Mar{\'\i}a Vald{\'e}s {Hern{\'a}ndez} and Gonz{\'a}lez-Castro, V{\'\i}ctor}
}
@article {25779,
	title = {The impact of cardiovascular risk factors on cardiac structure and function: Insights from the UK Biobank imaging enhancement study},
	journal = {PLoS ONE},
	volume = {12},
	year = {2017},
	month = {Mar-10-2017},
	pages = {e0185114},
	publisher = {PLOS ONE},
	doi = {10.1371/journal.pone.018511410.1371/},
	author = {Steffen E. {Petersen} and Mihir M. {Sanghvi} and Aung, Nay and Jackie A. {Cooper} and Jos{\'e} Miguel {Paiva} and Zemrak, Filip and Fung, Kenneth and Lukaschuk, Elena and Aaron M. {Lee} and Carapella, Valentina and Young Jin {Kim} and Stefan K. {Piechnik} and Neubauer, Stefan},
	editor = {Fukumoto, Yoshihiro}
}
@inproceedings {25777,
	title = {MRI-Based Heart and Torso Personalization for Computer Modeling and Simulation of Cardiac Electrophysiology},
	journal = {Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound. International Workshops, BIVPCS 2017 and POCUS 2017.},
	volume = {10549},
	year = {2017},
	pages = {61 - 70},
	publisher = {Springer International Publishing},
	address = {Cham},
	isbn = {978-3-319-67551-0},
	issn = {0302-9743},
	doi = {10.1007/978-3-319-67552-7_8},
	url = {https://link.springer.com/chapter/10.1007/978-3-319-67552-7_8$\#$citeas},
	author = {Zacur, Ernesto and Minchole, Ana and Villard, Benjamin and Carapella, Valentina and Ariga, Rina and Rodriguez, Blanca and Grau, Vicente},
	editor = {Cardoso, Jorge and Arbel, Tal and Jo{\~a}o Manuel R.S {Tavares} and Aylward, Stephen and Li, Shuo and Boctor, Emad and Fichtinger, Gabor and Cleary, Kevin and Freeman, Bradley and Kohli, Luv and Deborah Shipley {Kane} and Oetgen, Matt and Pujol, Sonja}
}
@inproceedings {25780,
	title = {Towards the Semantic Enrichment of Free-Text Annotation of Image Quality Assessment for UK Biobank Cardiac Cine MRI Scans},
	volume = {1000815181543481803466},
	year = {2016},
	pages = {238 - 248},
	publisher = {Springer International Publishing},
	address = {Cham},
	isbn = {978-3-319-46975-1},
	issn = {0302-9743},
	doi = {10.1007/978-3-319-46976-8_25},
	url = {http://link.springer.com/10.1007/978-3-319-46976-8},
	author = {Carapella, Valentina and Jim{\'e}nez-Ruiz, Ernesto and Lukaschuk, Elena and Aung, Nay and Fung, Kenneth and Paiva, Jose and Sanghvi, Mihir and Neubauer, Stefan and Petersen, Steffen and Horrocks, Ian and Piechnik, Stefan},
	editor = {Carneiro, Gustavo and Mateus, Diana and Peter, Lo{\"\i}c and Bradley, Andrew and Jo{\~a}o Manuel R. {Tavares} and Belagiannis, Vasileios and Jo{\~a}o Paulo {Papa} and Jacinto C. {Nascimento} and Loog, Marco and Lu, Zhi and Jaime S. {Cardoso} and Cornebise, Julien}
}
