@conference {cSancheza,
	title = {Brain MRI Super-Resolution using Generative Adversarial Networks},
	booktitle = {International Conference on Medical Imaging with Deep Learning},
	year = {2018},
	month = {07/2018},
	address = {Amsterdam, The Netherlands},
	author = {Irina S{\'a}nchez and Ver{\'o}nica Vilaplana}
}
@inbook {bCasamitjana18,
	title = {Cascaded V-Net Using ROI Masks for Brain Tumor Segmentation},
	booktitle = {Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2017},
	volume = { 10670},
	number = {Lecture Notes in Computer Science},
	year = {2018},
	pages = {381-391},
	publisher = {Springer},
	organization = {Springer},
	edition = {Crimi A., Bakas S., Kuijf H., Menze B., Reyes M. (eds)},
	address = {Cham},
	abstract = {<p class="p1">In this work we approach the brain tumor segmentation problem with a cascade of two CNNs inspired in the V-Net architecture, reformulating residual connections and making use of ROI masks to constrain the networks to train only on relevant voxels. This architecture allows dense training on problems with highly skewed class distributions, such as brain tumor segmentation, by focusing training only on the vecinity of the tumor area. We report results on BraTS2017 Training and Validation sets.</p>},
	isbn = {978-3-319-75238-9},
	issn = {978-3-319-75237-2},
	doi = {https://doi.org/10.1007/978-3-319-75238-9_33},
	url = {https://link.springer.com/chapter/10.1007/978-3-319-75238-9_33},
	author = {Adri{\`a} Casamitjana and Marcel Cat{\`a} and Irina S{\'a}nchez and Marc Combalia and Ver{\'o}nica Vilaplana}
}
@conference {cSanchez,
	title = {3D Medical Image Synthesis using Generative Adversarial Networks},
	booktitle = {ACM Europe Celebration of Women in Computing, womENcourage 2017, Barcelona, Spain},
	year = {2017},
	month = {09/2017},
	author = {Irina S{\'a}nchez and Ver{\'o}nica Vilaplana}
}
@conference {cCasamitjanaa,
	title = {Augmented V-Net for infant brain segmentation},
	booktitle = {MICCAI Grand Challenge on 6-month Infant Brain MRI Segmentation, MICCAI 2017},
	year = {2017},
	month = {09/2017},
	author = {Adri{\`a} Casamitjana and Irina S{\'a}nchez and Marc Combalia and Ver{\'o}nica Vilaplana}
}
@conference {cCasamitjana,
	title = {Augmented V-Net for White Matter Hyperintensities segmentation},
	booktitle = {WMH Segmentation Challenge, Brain-lesion Workshop, MICCAI 2017 },
	year = {2017},
	month = {09/2017},
	author = {Adri{\`a} Casamitjana and Irina S{\'a}nchez and Marc Combalia and Ver{\'o}nica Vilaplana}
}
@conference {cCata,
	title = {Masked V-Net: an approach to brain tumor segmentation},
	booktitle = {Multimodal Brain Tumor Segmentation Benchmark, Brain-lesion Workshop, MICCAI 2017 },
	year = {2017},
	month = {09/2017},
	author = {Marcel Cat{\`a} and Adri{\`a} Casamitjana and Irina S{\'a}nchez and Marc Combalia and Ver{\'o}nica Vilaplana}
}
