Oliver Diaz

About Oliver Diaz

Oliver Diaz, With an exceptional h-index of 19 and a recent h-index of 16 (since 2020), a distinguished researcher at Universidad de Barcelona, specializes in the field of Medical Imaging, Medical Physics, Artificial Intelligence, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Artificial Intelligence for breast cancer detection: Technology, challenges, and prospects

Public data homogenization for AI model development in breast cancer

Pre-to post-contrast breast MRI synthesis for enhanced tumour segmentation

Leveraging epistemic uncertainty to improve tumour segmentation in breast MRI: an exploratory analysis

Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models

ChatGPT y educación universitaria: posibilidades y límites de ChatGPT como herramienta docente [vídeo]

Joint AAPM Task Group 282/EFOMP Working Group Report: Breast dosimetry for standard and contrast‐enhanced mammography and breast tomosynthesis

End-to-end mammographic breast density quantification with deep learning: preliminary study on simulated mammograms

Oliver Diaz Information

University

Position

Lecturer (Assistant Professor) at (Spain)

Citations(all)

1201

Citations(since 2020)

923

Cited By

538

hIndex(all)

19

hIndex(since 2020)

16

i10Index(all)

31

i10Index(since 2020)

24

Email

University Profile Page

Google Scholar

Oliver Diaz Skills & Research Interests

Medical Imaging

Medical Physics

Artificial Intelligence

Machine Learning

Top articles of Oliver Diaz

Artificial Intelligence for breast cancer detection: Technology, challenges, and prospects

arXiv preprint arXiv:2110.00942

2021/10/3

Public data homogenization for AI model development in breast cancer

European Radiology Experimental

2024/4/9

Pre-to post-contrast breast MRI synthesis for enhanced tumour segmentation

arXiv preprint arXiv:2311.10879

2023/11/17

Leveraging epistemic uncertainty to improve tumour segmentation in breast MRI: an exploratory analysis

2024/4/2

Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models

arXiv preprint arXiv:2403.13890

2024/3/20

ChatGPT y educación universitaria: posibilidades y límites de ChatGPT como herramienta docente [vídeo]

2024

Joint AAPM Task Group 282/EFOMP Working Group Report: Breast dosimetry for standard and contrast‐enhanced mammography and breast tomosynthesis

Medical physics

2024/2

End-to-end mammographic breast density quantification with deep learning: preliminary study on simulated mammograms

2023/4/7

Reviews in cancer imaging and image-directed interventions

Frontiers in Oncology

2023/3/16

Oliver Diaz
Oliver Diaz

H-Index: 12

Abstract Number‐11: Automated Measurement Of Vascular Tortuosity: Association With Baseline Clinical Characteristics And Impact On Mechanical Thrombectomy

Stroke: Vascular and Interventional Neurology

2023/3

A fully automatic method for vascular tortuosity feature extraction in the supra-aortic region: unraveling possibilities in stroke treatment planning

Computerized Medical Imaging and Graphics

2023/3/1

Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging

2023/2/1

High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection

Frontiers in Oncology

2023/1/23

La inteligencia artificial y la radiología: dos mundos llamados a entenderse

Imagen Diagnóstica

2023

From the clinic: A survey on trustworthy AI in breast cancer*

2023/12/7

SELF-QuestionnAIre

Revista del Congrés Internacional de Docència Universitària i Innovació (CIDUI)

2023/12/4

Pre‐procedural 3D visualization of deep‐learning vascular segmentation enhances identification of difficult femoral access in thrombectomy

Stroke: Vascular and Interventional Neurology

2023/11

Cardiometabolic risk estimation using exposome data and machine learning

International Journal of Medical Informatics

2023/11/1

Polyxeni Gkontra
Polyxeni Gkontra

H-Index: 5

Oliver Diaz
Oliver Diaz

H-Index: 12

medigan: a Python library of pretrained generative models for medical image synthesis

Journal of Medical Imaging

2023/11/1

Revisiting Skin Tone Fairness in Dermatological Lesion Classification

2023/10/8

See List of Professors in Oliver Diaz University(Universidad de Barcelona)

Co-Authors

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