Characterization of path loss and absorption for a wireless radio frequency link between an in-body endoscopy capsule and a receiver outside the body. - Karen López-Linares Román; Günter Vermeeren; Arno Thielens; Wout Joseph; Luc Martens (EURASIP J. Wirel. Commun. Netw., 2014)

DCNN-Based Automatic Segmentation and Quantification of Aortic Thrombus Volume: Influence of the Training Approach. - Karen López-Linares; Luis Kabongo; Nerea Lete; Gregory Maclair; Mario Ceresa; Ainhoa García-Familiar; Iván Macía; Miguel Ángel González Ballester (CVII-STENT/LABELS@MICCAI, 2017)

Comparison of regularization techniques for DCNN-based abdominal aortic aneurysm segmentation. - Karen López-Linares; Nerea Lete; Luis Kabongo; Mario Ceresa; Gregory Maclair; Ainhoa García-Familiar; Iván Macía; Miguel Ángel González Ballester (ISBI, 2018)

3D Pulmonary Artery Segmentation from CTA Scans Using Deep Learning with Realistic Data Augmentation. - 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 (RAMBO+BIA+TIA@MICCAI, 2018)

Fully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using Deep Convolutional Neural Networks. - Karen López-Linares; Nerea Aranjuelo; Luis Kabongo; Gregory Maclair; Nerea Lete; Mario Ceresa; Ainhoa García-Familiar; Iván Macía; Miguel Ángel González Ballester (Medical Image Anal., 2018)

Abdominal Aortic Aneurysm Segmentation Using Convolutional Neural Networks Trained with Images Generated with a Synthetic Shape Model. - Karen López-Linares; Maialen Stephens; Inmaculada García; Iván Macía; Miguel Ángel González Ballester; Raúl San José Estépar (MLMECH/CVII-STENT@MICCAI, 2019)

Prediction of Failure of Induction of Labor from Ultrasound Images Using Radiomic Features. - María Inmaculada García Ocaña; Karen López-Linares Román; Jorge Burgos San Cristóbal; Ana del Campo Real; Iván Macía Oliver (SUSI/PIPPI@MICCAI, 2019)

3D convolutional neural network for abdominal aortic aneurysm segmentation. - Karen López-Linares; Inmaculada García; Ainhoa García-Familiar; Iván Macía; Miguel Ángel González Ballester (CoRR, 2019)

Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network. - Andrik Rampun; Karen López-Linares; Philip J. Morrow; Bryan W. Scotney; Hui Wang 001; Inmaculada Garcia Ocaña; Gregory Maclair; Reyer Zwiggelaar; Miguel Ángel González Ballester; Iván Macía (Medical Image Anal., 2019)

Image analysis and deep learning to support endovascular repair of abdominal aortic aneurysms. - Karen López-Linares Román (2019)

MRI to CTA Translation for Pulmonary Artery Evaluation Using CycleGANs Trained with Unpaired Data. - Maialen Stephens; Raúl San José Estépar; Jesús Ruiz-Cabello; Ignacio Arganda-Carreras; Iván Macía; Karen López-Linares (TIA@MICCAI, 2020)

Fully Automatic Cardiac Segmentation And Quantification For Pulmonary Hypertension Analysis Using Mice Cine Mr Images. - Blanca Zufiria; Maialen Stephens; Maria Jesús Sánchez; Jesús Ruiz-Cabello; Karen López-Linares; Iván Macía (ISBI, 2021)

Unsupervised domain adaptation for the segmentation of breast tissue in mammography images. - 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 (Comput. Methods Programs Biomed., 2021)

CADIA: A Success Story in Breast Cancer Diagnosis with Digital Pathology and AI Image Analysis. - 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 (AMAI@MICCAI, 2022)

Analysis of Potential Biases on Mammography Datasets for Deep Learning Model Development. - 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 (AMAI@MICCAI, 2022)

Automated anatomical labeling of a topologically variant abdominal arterial system via probabilistic hypergraph matching. - Yue Liu; Xingce Wang; Zhongke Wu; Karen López-Linares; Iván Macía; Xudong Ru; Haichuan Zhao; Miguel Ángel González Ballester; Chong Zhang 001 (Medical Image Anal., 2022)

Automatic Tool for Pulmonary Artery Hemodynamic Assessment from 4D flow MRI. - Javier Bóbeda; Haizea Erostarbe; Maialen Stephens; Ángel Gaitán; Rahul Kumar; Jorge Nuche; Irene Marco; Juan Delgado; Jesús Ruiz-Cabello; Karen López-Linares (ISBI, 2023)

Fast and versatile platform for pedicle screw insertion planning. - Rafael Benito; Álvaro Bertelsen; Verónica de Ramos; Amaia Iribar-Zabala; Niccoló Innocenti; Nicolò Castelli; Karen López-Linares; Davide Scorza (Int. J. Comput. Assist. Radiol. Surg., 2023)

MIGHTY: a comprehensive platform for the development of medical image-guided holographic therapy. - Amaia Iribar-Zabala; Rafael Benito; Gaspar Sánchez-Merino; Camilo Cortés; M. Angeles Garcia-Fidalgo; Karen López-Linares; Álvaro Bertelsen (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

AI-Driven Integration of Histological and Genomic Data for Understanding Breast Cancer Survival. - 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 (ISBI, 2024)

Text-Conditioned Abdominal CT Slice Generation Using Stable Diffusion. - Paola Martínez-Arias; Alexander Platas; Elena Zotova; Montse Cuadros; Iván Macía; Karen López-Linares (MICAD, 2024)

Synthetic Annotated Data for Named Entity Recognition in Computed Tomography Scan Reports. - Alexander Platas; Elena Zotova; Paola Martínez-Arias; Karen López-Linares; Montse Cuadros (SEPLN Posters, 2024)

Blood flow visualization from 4D flow Magnetic Resonance Imaging using the ISO X3D standard. - Ander Arbelaiz; Javier Bóbeda; Sara García; Jesús Ruiz-Cabello; M. Dolores García-Cosío; Karen López-Linares; Jorge Posada 001 (Web3D, 2024)

An intensity-based self-supervised domain adaptation method for intervertebral disc segmentation in magnetic resonance imaging. - Maria Chiara Fiorentino; Francesca Pia Villani; Rafael Benito Herce; Miguel Ángel González Ballester; Adriano Mancini; Karen López-Linares Román (Int. J. Comput. Assist. Radiol. Surg., 2024)

Deep Learning Characterization of Volatile Organic Compounds with Spectrometer-on-Card. - Ander Cejudo; Markel Arrojo; Miriam Gutiérrez; Karen López-Linares; Hossam Haick; Iván Macía; Cristina Martin 002 (ICT4AWE, 2025)