Oliver Díaz

Orcid: 0000-0001-6789-5177

  • University of Girona, Spain

According to our database1, Oliver Díaz authored at least 37 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:

On csauthors.net:


Image Quality Assessment Tool for Conventional and Dynamic Magnetic Resonance Imaging Acquisitions.
J. Imaging, May, 2024

MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations.
CoRR, 2024

Mitigating annotation shift in cancer classification using single image generative models.
CoRR, 2024

Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models.
CoRR, 2024

Cardiometabolic risk estimation using exposome data and machine learning.
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

Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation.
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

Revisiting Skin Tone Fairness in Dermatological Lesion Classification.
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023

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

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

Deep learning for mass detection in Full Field Digital Mammograms.
Comput. Biol. Medicine, 2020

DCGANs for realistic breast mass augmentation in x-ray mammography.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Breast MRI and X-ray mammography registration using gradient values.
Medical Image Anal., 2019

Quality analysis of DCGAN-generated mammography lesions.
CoRR, 2019

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

Breast tomosynthesis reconstruction using TIGRE software tool.
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

Digital breast tomosynthesis: impact of a new beam quality on dose to patients.
Proceedings of the 14th International Workshop on Breast Imaging, 2018

Mass detection in mammograms using pre-trained deep learning models.
Proceedings of the 14th International Workshop on Breast Imaging, 2018

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

Similarity Metrics for Intensity-Based Registration Using Breast Density Maps.
Proceedings of the Pattern Recognition and Image Analysis - 8th Iberian Conference, 2017

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

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

Phantoms for Quality Control Procedures of Digital Breast Tomosynthesis.
Proceedings of the Breast Imaging, 2012

Monte Carlo Simulation of Scatter Field for Calculation of Contrast of Discs in Synthetic CDMAM Images.
Proceedings of the Digital Mammography, 2010