Eloy García
Orcid: 0000-0002-0587-1919Affiliations:
- University of Girona, Institute of Computer Vision and Robotics, Girona, Spain
According to our database1,
Eloy García
authored at least 14 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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on orcid.org
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Bibliography
2024
Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2024
A Generative Adversarial Approach to Remove Moiré Artifacts in Dark-Field and Phase-Contrast X-Ray Images.
Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2024
Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2024
2023
End-to-end mammographic breast density quantification with deep learning: preliminary study on simulated mammograms.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
2022
medigan: A Python Library of Pretrained Generative Models for Enriched Data Access in Medical Imaging.
CoRR, 2022
2021
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation.
Medical Image Anal., 2021
2019
Medical Image Anal., 2019
2018
PhD thesis, 2018
Multimodal Breast Parenchymal Patterns Correlation Using a Patient-Specific Biomechanical Model.
IEEE Trans. Medical Imaging, 2018
Changes in breast density over time using automatic density measures: preliminary analysis.
Proceedings of the 14th International Workshop on Breast Imaging, 2018
2017
Mapping 3D breast lesions from full-field digital mammograms using subject-specific finite element models.
Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017
Proceedings of the Pattern Recognition and Image Analysis - 8th Iberian Conference, 2017
2016
Comparison of Four Breast Tissue Segmentation Algorithms for Multi-modal MRI to X-ray Mammography Registration.
Proceedings of the Breast Imaging, 2016
Feasibility of Depth Sensors to Study Breast Deformation During Mammography Procedures.
Proceedings of the Breast Imaging, 2016