Oliver Díaz
Orcid: 0000-0001-6789-5177Affiliations:
- University of Girona, Spain
According to our database1,
Oliver Díaz
authored at least 34 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CoRR, 2024
2023
Int. J. Medical Informatics, November, 2023
Problem-Based Learning. Application to a Laboratory Practice in the Degree of Industrial Chemical Engineering.
Int. J. Eng. Pedagog., September, 2023
A fully automatic method for vascular tortuosity feature extraction in the supra-aortic region: unraveling possibilities in stroke treatment planning.
Comput. Medical Imaging Graph., March, 2023
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging.
Medical Image Anal., 2023
CoRR, 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, 2023
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023
2022
medigan: A Python Library of Pretrained Generative Models for Enriched Data Access in Medical Imaging.
CoRR, 2022
High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection.
CoRR, 2022
Sharing Generative Models Instead of Private Data: A Simulation Study on Mammography Patch Classification.
CoRR, 2022
Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study.
Artif. Intell. Medicine, 2022
2021
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation.
Medical Image Anal., 2021
A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions.
CoRR, 2021
CoLe-CNN+: Context learning - Convolutional neural network for COVID-19-Ground-Glass-Opacities detection and segmentation.
Comput. Biol. Medicine, 2021
2020
Comput. Biol. Medicine, 2020
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
Medical Image Anal., 2019
2018
Multimodal Breast Parenchymal Patterns Correlation Using a Patient-Specific Biomechanical Model.
IEEE Trans. Medical Imaging, 2018
A deep learning framework for micro-calcification detection in 2D mammography and C-view.
Proceedings of the 14th International Workshop on Breast Imaging, 2018
Proceedings of the 14th International Workshop on Breast Imaging, 2018
Changes in breast density over time using automatic density measures: preliminary analysis.
Proceedings of the 14th International Workshop on Breast Imaging, 2018
Proceedings of the 14th International Workshop on Breast Imaging, 2018
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
Detailed Analysis of Scatter Contribution from Different Simulated Geometries of X-ray Detectors.
Proceedings of the Breast Imaging, 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
2012
Converting One Set of Mammograms to Simulate a Range of Detector Imaging Characteristics for Observer Studies.
Proceedings of the Breast Imaging, 2012
A Modelling Framework for Evaluation of 2D-Mammography and Breast Tomosynthesis Systems.
Proceedings of the Breast Imaging, 2012
Proceedings of the Breast Imaging, 2012
2010
Monte Carlo Simulation of Scatter Field for Calculation of Contrast of Discs in Synthetic CDMAM Images.
Proceedings of the Digital Mammography, 2010