Claudia Mazo

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Assistant Professor

Dublin City University

Ireland

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About

Claudia Mazo is an Assistant Professor at Dublin City University, Ireland. Her research primarily focuses on the applications of machine learning in medical imaging, specifically in areas such as cognitive impairment, multiple sclerosis, and tumor detection. She has contributed to numerous articles exploring the intersection of artificial intelligence and healthcare, including systematic reviews on cancer recurrence prediction and multimodal image fusion techniques.

Recent Grants

Grant: Close

Application of Artificial Intelligence in Digital Breast Pathology to Better Predict Risk of Recurrence

Open Date: 2022-12-01

Close Date: 2023-11-01

Grant: Close

Development of OncoEngine - A Bespoke Clinical Decision-Making Tool for Stratification of Early Stage Breast Cancer Patients

Open Date: 2018-02-01

Close Date:

Grant: Close

NUBIA - NUevos Biomarcadores Imagen pAtológica / / New Biomarkers in Pathology Image

Open Date: 2017-07-01

Close Date: 2018-03-01

Grant: Close

Automatic Classification of Histological Images and Histological Knowledge Modelling of the Human Cardiovascular System

Open Date: 2017-02-01

Close Date: 2017-02-01

Grant: Close

Automatic Classification of Histological Images and Histological Knowledge Modelling of the Human Cardiovascular System

Open Date: 2016-11-01

Close Date: 2016-11-01

Articles (13)

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2025

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2024

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2024

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2023

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2022

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2022

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2021

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2021

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2021

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2020

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2020

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2020

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2020

Collaborators (6)

Catherine Mooney

Associate Professor

Dublin City University

IRELAND

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Jose Bernal

Junior (Assistant) Professor

Friedrich-Alexander Universität Erlangen-Nürnberg

GERMANY

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Valerie Lohner

University of Cologne

GERMANY

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Arman Rahman

Assistant Professor

Dublin City University

IRELAND

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AmanPreet Badhwar

Professor

Université de Montréal

CANADA

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Lan Wei

Dublin City University

IRELAND

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Claudia Mazo

Research Interests

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About

Recent Grants

Articles (13)

Machine learning applications in vascular neuroimaging for the diagnosis and prognosis of cognitive impairment and dementia: a systematic review and meta-analysis

XAI-ResUNet: analysing the impact of pre-training in ResUNet architectures for multiple sclerosis lesion segmentation using EigenGradCAM

XAIMed-Net: towards explainable brain tumour detection in 2D T1-weighted CE-MRI images using transfer learning

MRI and CT Fusion in Stereotactic Electroencephalography (SEEG)

Application of Artificial Intelligence Techniques to Predict Risk of Recurrence of Breast Cancer: A Systematic Review

Transparency of Artificial Intelligence in Healthcare: Insights from Professionals in Computing and Healthcare Worldwide

Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems: A Systematic Review

Future of biomarker evaluation in the realm of artificial intelligence algorithms: Application in improved therapeutic stratification of patients with breast and prostate cancer

MRI and CT Fusion in Stereotactic Electroencephalography: A Literature Review

Multimodal medical image fusion in stereotactic electroencephalography

Using an ontology of the human cardiovascular system to improve the classification of histological images

Multi-Gene Prognostic Signatures and Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in ER-positive, HER2-negative Breast Cancer Patients

Clinical Decision Support Systems in Breast Cancer: A Systematic Review

Collaborators (6)

Catherine Mooney

Jose Bernal

Valerie Lohner

Arman Rahman

AmanPreet Badhwar

Lan Wei

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