Kathleen M. Curran

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 36

Top Topics

Handwritten Digit Recognition

Image Segmentation

Anomaly Detection

Top Venues

Publications

Niamh Belton, Aonghus Lawlor, Kathleen M. Curran
An AI System for Continuous Knee Osteoarthritis Severity Grading Using Self-Supervised Anomaly Detection with Limited Data. CoRR (2024)
Niamh Belton, Misgina Tsighe Hagos, Aonghus Lawlor, Kathleen M. Curran
Towards a unified approach for unsupervised brain MRI Motion Artefact Detection with few shot Anomaly Detection. Comput. Medical Imaging Graph. 115 (2024)
Niamh Belton, Misgina Tsighe Hagos, Aonghus Lawlor, Kathleen M. Curran
Rethinking Knee Osteoarthritis Severity Grading: A Few Shot Self-Supervised Contrastive Learning Approach. CoRR (2024)
Carles García-Cabrera, Eric Arazo Sanchez, Enric Moreu, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness
Synthetic Balancing of Cardiac MRI Datasets. MIUA (2) (2024)
Fangyijie Wang, Guénolé Silvestre, Kathleen M. Curran
Segmenting Fetal Head with Efficient Fine-tuning Strategies in Low-resource Settings: an empirical study with U-Net. CoRR (2024)
Fangyijie Wang, Guénolé Silvestre, Kathleen M. Curran
MiTU-Net: A fine-tuned U-Net with SegFormer backbone for segmenting pubic symphysis-fetal head. CoRR (2024)
Sidra Aleem, Fangyijie Wang, Mayug Maniparambil, Eric Arazo, Julia Dietlmeier, Guénolé Silvestre, Kathleen M. Curran, Noel E. O'Connor, Suzanne Little
Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image Segmentation. CoRR (2024)
Anam Hashmi, Julia Dietlmeier, Kathleen M. Curran, Noel E. O'Connor
Accelerating Cardiac MRI Reconstruction with CMRatt: An Attention-Driven Approach. CoRR (2024)
Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee
Unlearning Spurious Correlations in Chest X-ray Classification. CoRR (2023)
Niamh Belton, Misgina Tsighe Hagos, Aonghus Lawlor, Kathleen M. Curran
FewSOME: One-Class Few Shot Anomaly Detection with Siamese Networks. CVPR Workshops (2023)
Misgina Tsighe Hagos, Niamh Belton, Kathleen M. Curran, Brian Mac Namee
Distance-Aware eXplanation Based Learning. CoRR (2023)
Fangyijie Wang, Guénolé Silvestre, Kathleen M. Curran
Evaluate Fine-tuning Strategies for Fetal Head Ultrasound Image Segmentation with U-Net. CoRR (2023)
Misgina Tsighe Hagos, Niamh Belton, Kathleen M. Curran, Brian Mac Namee
Distance-Aware eXplanation Based Learning. ICTAI (2023)
Carles García-Cabrera, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness
Cardiac Magnetic Resonance Phase Detection Using Neural Networks. AICS (2023)
Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee
Unlearning Spurious Correlations in Chest X-Ray Classification. DS (2023)
Misgina Tsighe Hagos, Niamh Belton, Ronan P. Killeen, Kathleen M. Curran, Brian Mac Namee
Weighted Siamese Network to Predict the Time to Onset of Alzheimer's Disease from MRI Images. CoRR (2023)
Misgina Tsighe Hagos, Niamh Belton, Ronan P. Killeen, Kathleen M. Curran, Brian Mac Namee
Interpretable Weighted Siamese Network to Predict the Time to Onset of Alzheimer's Disease from MRI Images. SGAI Conf. (2023)
Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee
Learning from Exemplary Explanations. CoRR (2023)
Niamh Belton, Misgina Tsighe Hagos, Aonghus Lawlor, Kathleen M. Curran
FewSOME: Few Shot Anomaly Detection. CoRR (2023)
Julia Dietlmeier, Carles García-Cabrera, Anam Hashmi, Kathleen M. Curran, Noel E. O'Connor
Cardiac MRI Reconstruction from Undersampled K-Space Using Double-Stream IFFT and a Denoising GNA-UNET Pipeline. STACOM@MICCAI (2023)
Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee
Identifying Spurious Correlations and Correcting them with an Explanation-based Learning. CoRR (2022)
Carles García-Cabrera, Eric Arazo, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness
Cardiac Segmentation using Transfer Learning under Respiratory Motion Artifacts. CoRR (2022)
Carles García-Cabrera, Eric Arazo, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness
Cardiac Segmentation Using Transfer Learning Under Respiratory Motion Artifacts. STACOM@MICCAI (2022)
Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee
Impact of Feedback Type on Explanatory Interactive Learning. CoRR (2022)
Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee
Impact of Feedback Type on Explanatory Interactive Learning. ISMIS (2022)
Misgina Tsighe Hagos, Ronan P. Killeen, Kathleen M. Curran, Brian Mac Namee
Interpretable Identification of Mild Cognitive Impairment Progression Using Stereotactic Surface Projections. PAIS@ECAI (2022)
Adrianna Janik, Jonathan Dodd, Georgiana Ifrim, Kris Sankaran, Kathleen M. Curran
Interpretability of a Deep Learning Model in the Application of Cardiac MRI Segmentation with an ACDC Challenge Dataset. CoRR (2021)
Niamh Belton, Ivan Welaratne, Adil Dahlan, Ronan T. Hearne, Misgina Tsighe Hagos, Aonghus Lawlor, Kathleen M. Curran
Optimising Knee Injury Detection with Spatial Attention and Validating Localisation Ability. MIUA (2021)
Niamh Belton, Aonghus Lawlor, Kathleen M. Curran
Semi-Supervised Siamese Network for Identifying Bad Data in Medical Imaging Datasets. CoRR (2021)
Adrianna Janik, Jonathan Dodd, Georgiana Ifrim, Kris Sankaran, Kathleen M. Curran
Interpretability of a deep learning model in the application of cardiac MRI segmentation with an ACDC challenge dataset. Medical Imaging: Image Processing (2021)
Niamh Belton, Ivan Welaratne, Adil Dahlan, Ronan T. Hearne, Misgina Tsighe Hagos, Aonghus Lawlor, Kathleen M. Curran
Optimising Knee Injury Detection with Spatial Attention and Validating Localisation Ability. CoRR (2021)
Xuanhui Xu, Eleni E. Mangina, David Kilroy, Kathleen M. Curran, John J. Healy, Abraham G. Campbell
Doctoral Colloquium - A Snapshot of the Future: Virtual and Augmented Reality Training for Radiology. iLRN (2020)
Patrick Leydon, Martin O'Connell, Derek Greene, Kathleen M. Curran
Bone Segmentation in Contrast Enhanced Whole-Body Computed Tomography. CoRR (2020)
Diego Pereira Botelho, Kathleen M. Curran, Madeleine M. Lowery
Anatomically accurate model of EMG during index finger flexion and abduction derived from diffusion tensor imaging. PLoS Comput. Biol. 15 (8) (2019)
Patrick Leydon, Martin O'Connell, Derek Greene, Kathleen M. Curran
Semi-automatic Bone Marrow Evaluation in PETCT for Multiple Myeloma. MIUA (2017)
Alexandros Agapitos, Michael O'Neill, Miguel Nicolau, David Fagan, Ahmed Kattan, Anthony Brabazon, Kathleen M. Curran
Deep evolution of image representations for handwritten digit recognition. CEC (2015)
Carla Gil, Adrianus J. Bakermans, Baastian J. van Nierop, Gustav J. Strijkers, Hans C. van Assen, Kathleen M. Curran
Similarity Measures for Cardiac Diffusion Tensor Imaging Registration. IMVIP (2011)
Vasanth R. Singan, Thouis R. Jones, Kathleen M. Curran, Jeremy C. Simpson
Dual channel rank-based intensity weighting for quantitative co-localization of microscopy images. BMC Bioinform. 12 (2011)
Kathleen M. Curran, Daniel C. Alexander
Diffusion Tensor Orientation Matching for Image Registration. Medical Imaging: Image Processing (2003)