Catherine Mooney

Associate Professor

Dublin City University

Ireland

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Dr. Catherine Mooney is an Associate Professor at University College Dublin, Ireland. Her research focuses on multi-omics analysis in autism, EEG abnormalities classification, and the sense of belonging among undergraduate computing students. Recent publications include studies on epilepsy prediction, breast cancer lesion segmentation, and machine learning applications in pregnancy care.

Articles (19)

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2025

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2021

Collaborators (7)

Fionnuala M. McAuliffe

IRELAND

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Bodil Hammer Bech

Aarhus University

DENMARK

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Tine Brink Henriksen

Professor, Consultant, PhD

Aarhus University Hospital

DENMARK

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Arman Rahman

Assistant Professor

Dublin City University

IRELAND

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Dr Jane A English

Lecturer and PI

University College Cork

IRELAND

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Claudia Mazo

Assistant Professor

Dublin City University

IRELAND

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Lan Wei

Dublin City University

IRELAND

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Catherine Mooney

Research Interests

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About

Articles (19)

DenseNet-Based Classification of EEG Abnormalities Using Spectrograms

Classification System for Predicting Emergent Epilepsy Phenotype in the Intra-Amygdala Kainic Acid Mouse Model of Epilepsy

Longitudinal multi-omics analysis of umbilical cord blood and childhood serum in Autism

Sense of belonging in undergraduate computing students: A scoping review

Transformer-Based Explainable Model for Breast Cancer Lesion Segmentation

Pathways to Belonging: Understanding How University Entry Routes Shape the Sense of Belonging of Undergraduate Computing Students

AI-Based Electroencephalogram Analysis in Rodent Models of Epilepsy: A Systematic Review

Pediatric and Adolescent Seizure Detection: A Machine Learning Approach Exploring the Influence of Age and Sex in Electroencephalogram Analysis

Transfer Learning for the Identification of Paediatric EEGs With Interictal Epileptiform Abnormalities

Machine learning-based clinical decision support systems for pregnancy care: A systematic review

Towards an explainable clinical decision support system for large-for-gestational-age births

Deep-spindle: An automated sleep spindle detection system for analysis of infant sleep spindles

The Role of XAI in Advice-Taking from a Clinical Decision Support System: A Comparative User Study of Feature Contribution-Based and Example-Based Explanations

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

A Clinical Decision Support System for the Prediction of Quality of Life in ALS

SCLpred‐MEM: Subcellular localization prediction of membrane proteins by deep N‐to‐1 convolutional neural networks

Predictive modelling of hypoxic ischaemic encephalopathy risk following perinatal asphyxia

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

Collaborators (7)

Fionnuala M. McAuliffe

Bodil Hammer Bech

Tine Brink Henriksen

Arman Rahman

Dr Jane A English

Claudia Mazo

Lan Wei

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