Karen López-Linares Román
Orcid: 0000-0002-4800-6052
According to our database1,
Karen López-Linares Román
authored at least 19 papers
between 2014 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
MIGHTY: a comprehensive platform for the development of medical image-guided holographic therapy.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023
Int. J. Comput. Assist. Radiol. Surg., July, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Automated anatomical labeling of a topologically variant abdominal arterial system via probabilistic hypergraph matching.
Medical Image Anal., 2022
Analysis of Potential Biases on Mammography Datasets for Deep Learning Model Development.
Proceedings of the Applications of Medical Artificial Intelligence, 2022
CADIA: A Success Story in Breast Cancer Diagnosis with Digital Pathology and AI Image Analysis.
Proceedings of the Applications of Medical Artificial Intelligence, 2022
2021
Unsupervised domain adaptation for the segmentation of breast tissue in mammography images.
Comput. Methods Programs Biomed., 2021
Fully Automatic Cardiac Segmentation And Quantification For Pulmonary Hypertension Analysis Using Mice Cine Mr Images.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
MRI to CTA Translation for Pulmonary Artery Evaluation Using CycleGANs Trained with Unpaired Data.
Proceedings of the Thoracic Image Analysis - Second International Workshop, 2020
2019
Image analysis and deep learning to support endovascular repair of abdominal aortic aneurysms.
PhD thesis, 2019
Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network.
Medical Image Anal., 2019
CoRR, 2019
Prediction of Failure of Induction of Labor from Ultrasound Images Using Radiomic Features.
Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019
Abdominal Aortic Aneurysm Segmentation Using Convolutional Neural Networks Trained with Images Generated with a Synthetic Shape Model.
Proceedings of the Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting, 2019
2018
Fully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using Deep Convolutional Neural Networks.
Medical Image Anal., 2018
3D Pulmonary Artery Segmentation from CTA Scans Using Deep Learning with Realistic Data Augmentation.
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018
Comparison of regularization techniques for DCNN-based abdominal aortic aneurysm segmentation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
DCNN-Based Automatic Segmentation and Quantification of Aortic Thrombus Volume: Influence of the Training Approach.
Proceedings of the Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2017
2014
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