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Karen López-Linares Román

Karen López-Linares

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2020 – today

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2024
[j8]
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Maria Chiara Fiorentino, Francesca Pia Villani, Rafael Benito Herce, Miguel Ángel González Ballester, Adriano Mancini, Karen López-Linares Román:
An intensity-based self-supervised domain adaptation method for intervertebral disc segmentation in magnetic resonance imaging. Int. J. Comput. Assist. Radiol. Surg. 19(9): 1753-1761 (2024)
[c12]
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Laura Valeria Perez-Herrera, Aurora Sucre, Xabier Calle Sanchez, María Jesús García-González, Guillermo de Celis, Alba Garín-Muga, Maria dM Vivanco, Eduardo Alonso, Karen López-Linares:
AI-Driven Integration of Histological and Genomic Data for Understanding Breast Cancer Survival. ISBI 2024: 1-5
[c11]
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Ander Arbelaiz, Javier Bóbeda, Sara García, Jesús Ruiz-Cabello, M. Dolores García-Cosío, Karen López-Linares, Jorge Posada:
Blood flow visualization from 4D flow Magnetic Resonance Imaging using the ISO X3D standard. Web3D 2024: 15:1-15:5
2023
[j7]
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Rafael Benito, Álvaro Bertelsen, Verónica de Ramos, Amaia Iribar-Zabala, Niccoló Innocenti, Nicolò Castelli, Karen López-Linares, Davide Scorza:
Fast and versatile platform for pedicle screw insertion planning. Int. J. Comput. Assist. Radiol. Surg. 18(7): 1151-1157 (2023)
[j6]
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Amaia Iribar-Zabala, Rafael Benito, Gaspar Sánchez-Merino, Camilo Cortés, M. Angeles Garcia-Fidalgo, Karen López-Linares, Álvaro Bertelsen:
MIGHTY: a comprehensive platform for the development of medical image-guided holographic therapy. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(4): 1081-1089 (2023)
[c10]
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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
2022
[j5]
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Yue Liu, Xingce Wang, Zhongke Wu, Karen López-Linares, Iván Macía, Xudong Ru, Haichuan Zhao, Miguel Ángel González Ballester, Chong Zhang:
Automated anatomical labeling of a topologically variant abdominal arterial system via probabilistic hypergraph matching. Medical Image Anal. 75: 102249 (2022)
[c9]
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Blanca Zufiria, Karen López-Linares, María Jesús García González, Kristin May Rebescher, Iván Lalaguna, Esther Albertín, Maria B. Cimadevila, Javier Garcia, María J. Ledesma-Carbayo, Iván Macía:
Analysis of Potential Biases on Mammography Datasets for Deep Learning Model Development. AMAI@MICCAI 2022: 59-67
[c8]
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María Jesús García González, Rodrigo Cilla Ugarte, Blanca Zufiria Gerbolés, Kristin May Rebescher, Esther Albertin Marco, Iván Lalaguna, Javier García Navas, Maria Blanca Cimadevila Alvarez, Iván Macía Oliver, Karen López-Linares Román, Valery Naranjo Ornedo:
CADIA: A Success Story in Breast Cancer Diagnosis with Digital Pathology and AI Image Analysis. AMAI@MICCAI 2022: 79-87
2021
[j4]
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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)
[c7]
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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
[c6]
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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

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2019
[b1]
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Karen López-Linares Román:
Image analysis and deep learning to support endovascular repair of abdominal aortic aneurysms. Pompeu Fabra University, Spain, 2019
[j3]
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Andrik Rampun, Karen López-Linares, Philip J. Morrow, Bryan W. Scotney, Hui Wang, Inmaculada Garcia Ocaña, Gregory Maclair, Reyer Zwiggelaar, Miguel Ángel González Ballester, Iván Macía:
Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network. Medical Image Anal. 57: 1-17 (2019)
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María Inmaculada García Ocaña, Karen López-Linares Román, Jorge Burgos San Cristóbal, Ana del Campo Real, Iván Macía Oliver:
Prediction of Failure of Induction of Labor from Ultrasound Images Using Radiomic Features. SUSI/PIPPI@MICCAI 2019: 153-160
[c4]
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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
[i2]
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  - journals/corr/abs-1903-00879
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Karen López-Linares, Inmaculada García, Ainhoa García-Familiar, Iván Macía, Miguel Ángel González Ballester:
3D convolutional neural network for abdominal aortic aneurysm segmentation. CoRR abs/1903.00879 (2019)
2018
[j2]
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Karen López-Linares, Nerea Aranjuelo, Luis Kabongo, Gregory Maclair, Nerea Lete, Mario Ceresa, Ainhoa García-Familiar, Iván Macía, Miguel Ángel González Ballester:
Fully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using Deep Convolutional Neural Networks. Medical Image Anal. 46: 202-214 (2018)
[c3]
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Karen López-Linares, Nerea Lete, Luis Kabongo, Mario Ceresa, Gregory Maclair, Ainhoa García-Familiar, Iván Macía, Miguel Ángel González Ballester:
Comparison of regularization techniques for DCNN-based abdominal aortic aneurysm segmentation. ISBI 2018: 864-867
[c2]
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Karen López-Linares Román, Isaac de La Bruere, Jorge Onieva, Lasse Andresen, Jakob Qvortrup Holsting, Farbod N. Rahaghi, Iván Macía, Miguel Ángel González Ballester, Raúl San José Estépar:
3D Pulmonary Artery Segmentation from CTA Scans Using Deep Learning with Realistic Data Augmentation. RAMBO+BIA+TIA@MICCAI 2018: 225-237
[i1]
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  - journals/corr/abs-1804-00304
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Karen López-Linares, Nerea Aranjuelo, Luis Kabongo, Gregory Maclair, Nerea Lete, Mario Ceresa, Ainhoa García-Familiar, Iván Macía, Miguel Ángel González Ballester:
Fully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using deep convolutional neural networks. CoRR abs/1804.00304 (2018)
2017
[c1]
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Karen López-Linares, Luis Kabongo, Nerea Lete, Gregory Maclair, Mario Ceresa, Ainhoa García-Familiar, Iván Macía, Miguel Ángel González Ballester:
DCNN-Based Automatic Segmentation and Quantification of Aortic Thrombus Volume: Influence of the Training Approach. CVII-STENT/LABELS@MICCAI 2017: 29-38
2014
[j1]
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Karen López-Linares Román, Günter Vermeeren, Arno Thielens, Wout Joseph, Luc Martens:
Characterization of path loss and absorption for a wireless radio frequency link between an in-body endoscopy capsule and a receiver outside the body. EURASIP J. Wirel. Commun. Netw. 2014: 21 (2014)

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