Kathleen M. Curran

According to our database, Kathleen M. Curran authored at least 26 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

MiTU-Net: A fine-tuned U-Net with SegFormer backbone for segmenting pubic symphysis-fetal head.

Fangyijie Wang, Guénolé Silvestre, Kathleen M. Curran

CoRR, 2024

2023

Evaluate Fine-tuning Strategies for Fetal Head Ultrasound Image Segmentation with U-Net.

Fangyijie Wang, Guénolé Silvestre, Kathleen M. Curran

CoRR, 2023

Learning from Exemplary Explanations.

Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee

CoRR, 2023

Weighted Siamese Network to Predict the Time to Onset of Alzheimer's Disease from MRI Images.

Misgina Tsighe Hagos, Niamh Belton, Ronan P. Killeen, Kathleen M. Curran, Brian Mac Namee

CoRR, 2023

FewSOME: Few Shot Anomaly Detection.

Niamh Belton, Misgina Tsighe Hagos, Aonghus Lawlor, Kathleen M. Curran

CoRR, 2023

Cardiac MRI Reconstruction from Undersampled K-Space Using Double-Stream IFFT and a Denoising GNA-UNET Pipeline.

Julia Dietlmeier, Carles García-Cabrera, Anam Hashmi, Kathleen M. Curran, Noel E. O'Connor

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

Interpretable Weighted Siamese Network to Predict the Time to Onset of Alzheimer's Disease from MRI Images.

Misgina Tsighe Hagos, Niamh Belton, Ronan P. Killeen, Kathleen M. Curran, Brian Mac Namee

Proceedings of the Artificial Intelligence XL, 2023

Distance-Aware eXplanation Based Learning.

Misgina Tsighe Hagos, Niamh Belton, Kathleen M. Curran, Brian Mac Namee

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Unlearning Spurious Correlations in Chest X-Ray Classification.

Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee

Proceedings of the Discovery Science - 26th International Conference, 2023

FewSOME: One-Class Few Shot Anomaly Detection with Siamese Networks.

Niamh Belton, Misgina Tsighe Hagos, Aonghus Lawlor, Kathleen M. Curran

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Cardiac Magnetic Resonance Phase Detection Using Neural Networks.

Carles García-Cabrera, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness

Proceedings of the 31st Irish Conference on Artificial Intelligence and Cognitive Science, 2023

2022

Identifying Spurious Correlations and Correcting them with an Explanation-based Learning.

Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee

CoRR, 2022

Cardiac Segmentation Using Transfer Learning Under Respiratory Motion Artifacts.

Carles García-Cabrera, Eric Arazo, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Impact of Feedback Type on Explanatory Interactive Learning.

Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee

Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

Interpretable Identification of Mild Cognitive Impairment Progression Using Stereotactic Surface Projections.

Misgina Tsighe Hagos, Ronan P. Killeen, Kathleen M. Curran, Brian Mac Namee

Proceedings of the PAIS 2022, 2022

2021

Semi-Supervised Siamese Network for Identifying Bad Data in Medical Imaging Datasets.

Niamh Belton, Aonghus Lawlor, Kathleen M. Curran

CoRR, 2021

Optimising Knee Injury Detection with Spatial Attention and Validating Localisation Ability.

Niamh Belton, Ivan Welaratne, Adil Dahlan, Ronan T. Hearne, Misgina Tsighe Hagos, Aonghus Lawlor, Kathleen M. Curran

Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

Interpretability of a deep learning model in the application of cardiac MRI segmentation with an ACDC challenge dataset.

Adrianna Janik, Jonathan Dodd, Georgiana Ifrim, Kris Sankaran, Kathleen M. Curran

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

2020

Bone Segmentation in Contrast Enhanced Whole-Body Computed Tomography.

Patrick Leydon, Martin O'Connell, Derek Greene, Kathleen M. Curran

CoRR, 2020

Doctoral Colloquium - A Snapshot of the Future: Virtual and Augmented Reality Training for Radiology.

Xuanhui Xu, Eleni E. Mangina, David Kilroy, Kathleen M. Curran, John J. Healy, Abraham G. Campbell

Proceedings of the 6th International Conference of the Immersive Learning Research Network, 2020

2019

Anatomically accurate model of EMG during index finger flexion and abduction derived from diffusion tensor imaging.

Diego Pereira Botelho, Kathleen M. Curran, Madeleine M. Lowery

PLoS Comput. Biol., 2019

2017

Semi-automatic Bone Marrow Evaluation in PETCT for Multiple Myeloma.

Patrick Leydon, Martin O'Connell, Derek Greene, Kathleen M. Curran

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

2015

Deep evolution of image representations for handwritten digit recognition.

Alexandros Agapitos, Michael O'Neill, Miguel Nicolau, David Fagan, Ahmed Kattan, Anthony Brabazon, Kathleen M. Curran

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2011

Dual channel rank-based intensity weighting for quantitative co-localization of microscopy images.

Vasanth R. Singan, Thouis R. Jones, Kathleen M. Curran, Jeremy C. Simpson

BMC Bioinform., 2011

Similarity Measures for Cardiac Diffusion Tensor Imaging Registration.

Carla Gil, Adrianus J. Bakermans, Baastian J. van Nierop, Gustav J. Strijkers, Hans C. van Assen, Kathleen M. Curran

Proceedings of the 2011 Irish Machine Vision and Image Processing Conference, 2011

2003

Diffusion Tensor Orientation Matching for Image Registration.

Kathleen M. Curran, Daniel C. Alexander

Proceedings of the Medical Imaging 2003: Image Processing, 2003