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Maialen Stephens
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2020 – today
- 2023
- [j2]Irem Cetin, Maialen Stephens, Oscar Camara, Miguel Ángel González Ballester:
Attri-VAE: Attribute-based interpretable representations of medical images with variational autoencoders. Comput. Medical Imaging Graph. 104: 102158 (2023) - [c4]Javier Bóbeda, Haizea Erostarbe, Maialen Stephens, Ángel Gaitán, Rahul Kumar, Jorge Nuche, Irene Marco, Juan Delgado, Jesús Ruiz-Cabello, Karen López-Linares:
Automatic Tool for Pulmonary Artery Hemodynamic Assessment from 4D flow MRI. ISBI 2023: 1-5 - 2021
- [j1]Frances Ryan, Karen López-Linares Román, Blanca Zufiria Gerbolés, Kristin May Rebescher, Maialen Stephens Txurio, Rodrigo Cilla Ugarte, María Jesús García González, Iván Macía Oliver:
Unsupervised domain adaptation for the segmentation of breast tissue in mammography images. Comput. Methods Programs Biomed. 211: 106368 (2021) - [c3]Blanca Zufiria, Maialen Stephens, Maria Jesús Sánchez, Jesús Ruiz-Cabello, Karen López-Linares, Iván Macía:
Fully Automatic Cardiac Segmentation And Quantification For Pulmonary Hypertension Analysis Using Mice Cine Mr Images. ISBI 2021: 1411-1415 - 2020
- [c2]Maialen Stephens, Raúl San José Estépar, Jesús Ruiz-Cabello, Ignacio Arganda-Carreras, Iván Macía, Karen López-Linares:
MRI to CTA Translation for Pulmonary Artery Evaluation Using CycleGANs Trained with Unpaired Data. TIA@MICCAI 2020: 118-129
2010 – 2019
- 2019
- [c1]Karen López-Linares, Maialen Stephens, Inmaculada García, Iván Macía, Miguel Ángel González Ballester, Raúl San José Estépar:
Abdominal Aortic Aneurysm Segmentation Using Convolutional Neural Networks Trained with Images Generated with a Synthetic Shape Model. MLMECH/CVII-STENT@MICCAI 2019: 167-174
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last updated on 2024-10-07 21:25 CEST by the dblp team
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