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ORCIDKathleen M. Curran
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2020 – today
- 2025
[j4]Jieyun Bai
, Zihao Zhou, Zhanhong Ou, Gregor Köhler, Raphael Stock, Klaus H. Maier-Hein, Marawan Elbatel, Robert Martí, Xiaomeng Li, Yaoyang Qiu, Panjie Gou, Gongping Chen, Lei Zhao, Jianxun Zhang, Yu Dai, Fangyijie Wang, Guénolé Silvestre, Kathleen M. Curran, Hongkun Sun, Jing Xu, Pengzhou Cai, Lu Jiang, Libin Lan, Dong Ni, Mei Zhong, Gaowen Chen, Víctor M. Campello, Yaosheng Lu, Karim Lekadir:
PSFHS challenge report: Pubic symphysis and fetal head segmentation from intrapartum ultrasound images. Medical Image Anal. 99: 103353 (2025)- 2024
- [j3]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: 102391 (2024) - [c21]Sidra Aleem, Fangyijie Wang, Mayug Maniparambil, Eric Arazo, Julia Dietlmeier, 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. CVPR Workshops 2024: 5184-5193 - [c20]Anam Hashmi, Julia Dietlmeier, Kathleen M. Curran, Noel E. O'Connor:
Cardiac MRI Reconstruction with CMRatt: An Attention-Driven Approach. EUSIPCO 2024: 1666-1670 - [c19]Siteng Ma, Honghui Du, Kathleen M. Curran, Aonghus Lawlor, Ruihai Dong:
Adaptive Curriculum Query Strategy for Active Learning in Medical Image Classification. MICCAI (11) 2024: 48-57 - [c18]Fangyijie Wang, Kevin M. Whelan, Guénolé Silvestre, Kathleen M. Curran:
Generative Diffusion Model Bootstraps Zero-Shot Classification of Fetal Ultrasound Images in Underrepresented African Populations. PIPPI@MICCAI 2024: 143-154 - [c17]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: 353-365 - [i20]Fangyijie Wang, Guénolé Silvestre, Kathleen M. Curran:
MiTU-Net: A fine-tuned U-Net with SegFormer backbone for segmenting pubic symphysis-fetal head. CoRR abs/2401.15513 (2024) - [i19]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 abs/2404.06362 (2024) - [i18]Anam Hashmi, Julia Dietlmeier, Kathleen M. Curran, Noel E. O'Connor:
Accelerating Cardiac MRI Reconstruction with CMRatt: An Attention-Driven Approach. CoRR abs/2404.06941 (2024) - [i17]Niamh Belton, Misgina Tsighe Hagos, Aonghus Lawlor, Kathleen M. Curran:
Rethinking Knee Osteoarthritis Severity Grading: A Few Shot Self-Supervised Contrastive Learning Approach. CoRR abs/2407.09515 (2024) - [i16]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 abs/2407.11500 (2024) - [i15]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 abs/2407.20086 (2024) - [i14]Jieyun Bai, Zihao Zhou, Zhanhong Ou, Gregor Köhler, Raphael Stock, Klaus H. Maier-Hein, Marawan Elbatel, Robert Martí, Xiaomeng Li, Yaoyang Qiu, Panjie Gou, Gongping Chen, Lei Zhao, Jianxun Zhang, Yu Dai, Fangyijie Wang, Guénolé Silvestre, Kathleen M. Curran, Hongkun Sun, Jing Xu, Pengzhou Cai, Lu Jiang, Libin Lan, Dong Ni, Mei Zhong, Gaowen Chen, Víctor M. Campello, Yaosheng Lu, Karim Lekadir:
PSFHS Challenge Report: Pubic Symphysis and Fetal Head Segmentation from Intrapartum Ultrasound Images. CoRR abs/2409.10980 (2024) - 2023
- [c16]Carles García-Cabrera, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness:
Cardiac Magnetic Resonance Phase Detection Using Neural Networks. AICS 2023: 1-4 - [c15]Niamh Belton, Misgina Tsighe Hagos, Aonghus Lawlor, Kathleen M. Curran:
FewSOME: One-Class Few Shot Anomaly Detection with Siamese Networks. CVPR Workshops 2023: 2978-2987 - [c14]Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee:
Unlearning Spurious Correlations in Chest X-Ray Classification. DS 2023: 387-397 - [c13]Misgina Tsighe Hagos, Niamh Belton, Kathleen M. Curran, Brian Mac Namee:
Distance-Aware eXplanation Based Learning. ICTAI 2023: 279-286 - [c12]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: 391-403 - [c11]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: 326-338 - [i13]Niamh Belton, Misgina Tsighe Hagos, Aonghus Lawlor, Kathleen M. Curran:
FewSOME: Few Shot Anomaly Detection. CoRR abs/2301.06957 (2023) - [i12]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 abs/2304.07097 (2023) - [i11]Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee:
Learning from Exemplary Explanations. CoRR abs/2307.06026 (2023) - [i10]Fangyijie Wang, Guénolé Silvestre, Kathleen M. Curran:
Evaluate Fine-tuning Strategies for Fetal Head Ultrasound Image Segmentation with U-Net. CoRR abs/2307.09067 (2023) - [i9]Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee:
Unlearning Spurious Correlations in Chest X-ray Classification. CoRR abs/2308.01119 (2023) - [i8]Misgina Tsighe Hagos, Niamh Belton, Kathleen M. Curran, Brian Mac Namee:
Distance-Aware eXplanation Based Learning. CoRR abs/2309.05548 (2023) - 2022
- [c10]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: 153-156 - [c9]Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee:
Impact of Feedback Type on Explanatory Interactive Learning. ISMIS 2022: 127-137 - [c8]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: 392-398 - [i7]Carles García-Cabrera, Eric Arazo, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness:
Cardiac Segmentation using Transfer Learning under Respiratory Motion Artifacts. CoRR abs/2209.09714 (2022) - [i6]Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee:
Impact of Feedback Type on Explanatory Interactive Learning. CoRR abs/2209.12476 (2022) - [i5]Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee:
Identifying Spurious Correlations and Correcting them with an Explanation-based Learning. CoRR abs/2211.08285 (2022) - 2021
- [c7]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 - [c6]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: 71-86 - [i4]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 abs/2103.08590 (2021) - [i3]Niamh Belton, Aonghus Lawlor, Kathleen M. Curran:
Semi-Supervised Siamese Network for Identifying Bad Data in Medical Imaging Datasets. CoRR abs/2108.07130 (2021) - [i2]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 abs/2108.08136 (2021) - 2020
- [c5]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: 407-410 - [i1]Patrick Leydon, Martin O'Connell, Derek Greene, Kathleen M. Curran:
Bone Segmentation in Contrast Enhanced Whole-Body Computed Tomography. CoRR abs/2008.05223 (2020)
2010 – 2019
- 2019
- [j2]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) - 2017
- [c4]Patrick Leydon, Martin O'Connell, Derek Greene, Kathleen M. Curran:
Semi-automatic Bone Marrow Evaluation in PETCT for Multiple Myeloma. MIUA 2017: 342-351 - 2015
- [c3]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: 2452-2459 - 2011
- [j1]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: 407 (2011) - [c2]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: 82-83
2000 – 2009
- 2003
- [c1]Kathleen M. Curran, Daniel C. Alexander:
Diffusion Tensor Orientation Matching for Image Registration. Medical Imaging: Image Processing 2003
Coauthor Index
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