Kathleen Curran

Prof.

Dublin City University

Ireland

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Professor Kathleen Curran is a faculty member at University College Dublin, Ireland. Her research primarily focuses on the application of artificial intelligence and machine learning in medical imaging, specifically in areas such as Alzheimer’s disease identification, knee osteoarthritis grading, and placenta accreta spectrum analysis. She is also involved in advancing techniques for unsupervised brain MRI motion artifact detection and exploring muscle phenotyping in musculoskeletal research.

Articles (13)

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2025

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2023

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2023

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2022

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2022

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2021

Collaborators (9)

Derek Greene

Associate Professor

Dublin City University

IRELAND

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Robert Martí

Associate Professor.

Universitat de Girona

SPAIN

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Vadim Zhernovkov

Dublin City University

IRELAND

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Aonghus Lawlor

IRELAND

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Víctor Manuel Campello

Valencian International University

SPAIN

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Raquel Rabionet

Professor Agregat

University of Barcelona

SPAIN

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Fernando Rivadeneira

Professor Translational Skeletal Genomics

Erasmus MC

NETHERLANDS

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Marcus Butler

St. Vincent's University Hospital

IRELAND

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Eleni Douni

Agricultural University of Athens

GREECE

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Kathleen Curran

Research Interests

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About

Articles (13)

Reducing inference cost of Alzheimer’s disease identification using an uncertainty-aware ensemble of uni-modal and multi-modal learners

An AI system for continuous knee osteoarthritis severity grading: An anomaly detection inspired approach with few labels

Corrigendum to “PSFHS challenge report: pubic symphysis and fetal head segmentation from intrapartum ultrasound images” [Medical Image Analysis 99 (2025),103353] (Medical Image Analysis (2025) 99, (S1361841524002780), (10.1016/j.media.2024.103353))

A Novel Composite Serum Protein Biomarker of Lymphangioleiomyomatosis Identified by Machine Learning

A perspective on muscle phenotyping in musculoskeletal research.

Radiomic study of antenatal prediction of severe placenta accreta spectrum from MR imaging.

Towards a unified approach for unsupervised brain MRI Motion Artefact Detection with few shot Anomaly Detection

Spatial proteomics and transcriptomics of the maternal-fetal interface in placenta accreta spectrum

Correction: Radiomics-based prediction of FIGO grade for placenta accreta spectrum (European Radiology Experimental, (2023), 7, 1, (54), 10.1186/s41747-023-00369-2)

Radiomics-based prediction of FIGO grade for placenta accreta spectrum

Bone segmentation in contrast enhanced whole-body computed tomography.

Extended D-dimer cut-offs and machine learning for ruling out pulmonary embolism in individuals undergoing computed tomography pulmonary angiography.

Enterprise imaging and big data: A review from a medical physics perspective

Collaborators (9)

Derek Greene

Robert Martí

Vadim Zhernovkov

Aonghus Lawlor

Víctor Manuel Campello

Raquel Rabionet

Fernando Rivadeneira

Marcus Butler

Eleni Douni

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