Kathleen M. Curran

63 papers B 5C 2Misc 1Journal 35Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DyABD: the abdominal muscle segmentation in dynamic MRI benchmark. BMC Medical Imaging Niamh Belton, Victoria Joppin, Aonghus Lawlor, Catherine Masson, Thierry Bège, David Bendahan, Kathleen M. Curran
2026	J	`jnl`	Entropy-Guided Agreement-Diversity: A Semi-Supervised Active Learning Framework for Fetal Head Segmentation in Ultrasound. CoRR Fangyijie Wang, Siteng Ma, Guénolé C. M. Silvestre, Kathleen M. Curran
2026	J	`jnl`	IUGC: A benchmark of landmark detection in end-to-end intrapartum ultrasound biometry. Medical Image Anal. Jieyun Bai, Yitong Tang, Xiao Liu, Jiale Hu, Yunda Li, Xufan Chen, Yufeng Wang, Chen Ma, Yunshu Li, Bowen Guo, Jing Jiao, Yi Huang, Kun Wang, Lifei Li, Yuzhang Ma, Xiaoxin Han, Haochen Shao, Zi Yang, Qingchen Liu, Yuchen Hu, Jingfan Kuang, Shanglin Song, Anirvan Krishna, Zaid Ahmed Khan, Zelan Li, Zhengyang Zhang, Hansen Zhang, Yan Cheng, Xuezhi Zhang, Xi Chen, Hao Yan, Lyuyang Tong, Bo Du, Bo Deng, Yu Chen, Zilun Peng, Saeid Rezaei, Jie Gan, Weidong Cai, Fangyijie Wang, Kathleen M. Curran, Guenole C. M. Silvestre, Isaac Khobo, Yaosheng Lu, Dong Ni, Yuxin Huang, Mohammad Yaqub, Jun Ma, Karim Lekadir, Shuo Li
2026	J	`jnl`	Understanding Task Aggregation for Generalizable Ultrasound Foundation Models. CoRR Fangyijie Wang, Tanya Akumu, Vien Ngoc Dang, Amelia Jiménez-Sánchez, Jieyun Bai, Guénolé C. M. Silvestre, Karim Lekadir, Kathleen M. Curran
2025	J	`jnl`	An AI system for continuous knee osteoarthritis severity grading: An anomaly detection inspired approach with few labels. Artif. Intell. Medicine Niamh Belton, Aonghus Lawlor, Kathleen M. Curran
2025	—	`conf`	Anatomy-Preserving Counterfactual Edits in Breast MRI via Guided Diffusion. Deep-Breath@MICCAI Bulat Maksudov, Kathleen M. Curran, Alessandra Mileo
2025	J	`jnl`	Corrigendum to "PSFHS challenge report: pubic symphysis and fetal head segmentation from intrapartum ultrasound images" [Medical Image Analysis 99 (2025),103353]. Medical Image Anal. 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 C. M. 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
2025	—	`conf`	Differential Diagnosis of Brain Diseases Using Ensemble Learning and Explainable AI. VISIGRAPP (2): VISAPP Nighat Bibi, Kathleen M. Curran, Jane Courtney
2025	J	`jnl`	Diffusion Model-based Data Augmentation Method for Fetal Head Ultrasound Segmentation. CoRR Fangyijie Wang, Kevin M. Whelan, Félix Balado, Guénolé C. M. Silvestre, Kathleen M. Curran
2025	—	`conf`	Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images. MICCAI (14) Fangyijie Wang, Yuan Liang, Sourav Bhattacharjee, Abey Campbell, Kathleen M. Curran, Guénolé C. M. Silvestre
2025	J	`jnl`	Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images. CoRR Fangyijie Wang, Yuan Liang, Sourav Bhattacharjee, Abey Campbell, Kathleen M. Curran, Guénolé C. M. Silvestre
2025	—	`conf`	Multi-Level Explainability in Radiomic-based Classification of Multiple Sclerosis and Ischemic Lesions. xAI (Late-breaking Work, Demos, Doctoral Consortium) Nighat Bibi, Kathleen M. Curran, Ronan P. Killeen, Jane Courtney
2025	J	`jnl`	PSFHS challenge report: Pubic symphysis and fetal head segmentation from intrapartum ultrasound images. Medical Image Anal. 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 C. M. 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
2025	J	`jnl`	Parameter-Free Bio-Inspired Channel Attention for Enhanced Cardiac MRI Reconstruction. CoRR Anam Hashmi, Julia Dietlmeier, Kathleen M. Curran, Noel E. O'Connor
2025	—	`conf`	Semi-Supervised Cervical Segmentation on Ultrasound by a Dual Framework for Neural Networks. ISBI Fangyijie Wang, Kathleen M. Curran, Guénolé C. M. Silvestre
2025	J	`jnl`	Semi-supervised Cervical Segmentation on Ultrasound by A Dual Framework for Neural Networks. CoRR Fangyijie Wang, Kathleen M. Curran, Guénolé C. M. Silvestre
2025	—	`conf`	Spatial Aggregation for Semi-supervised Active Learning in 3D Medical Image Segmentation. MICCAI (8) Siteng Ma, Honghui Du, Dairui Liu, Kathleen M. Curran, Aonghus Lawlor, Ruihai Dong
2025	J	`jnl`	Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays. CoRR Bulat Maksudov, Kathleen M. Curran, Alessandra Mileo
2024	J	`jnl`	Accelerating Cardiac MRI Reconstruction with CMRatt: An Attention-Driven Approach. CoRR Anam Hashmi, Julia Dietlmeier, Kathleen M. Curran, Noel E. O'Connor
2024	—	`conf`	Adaptive Curriculum Query Strategy for Active Learning in Medical Image Classification. MICCAI (11) Siteng Ma, Honghui Du, Kathleen M. Curran, Aonghus Lawlor, Ruihai Dong
2024	J	`jnl`	An AI System for Continuous Knee Osteoarthritis Severity Grading Using Self-Supervised Anomaly Detection with Limited Data. CoRR Niamh Belton, Aonghus Lawlor, Kathleen M. Curran
2024	—	`conf`	Cardiac MRI Reconstruction with CMRatt: An Attention-Driven Approach. EUSIPCO Anam Hashmi, Julia Dietlmeier, Kathleen M. Curran, Noel E. O'Connor
2024	—	`conf`	Generative Diffusion Model Bootstraps Zero-Shot Classification of Fetal Ultrasound Images in Underrepresented African Populations. PIPPI@MICCAI Fangyijie Wang, Kevin M. Whelan, Guénolé C. M. Silvestre, Kathleen M. Curran
2024	J	`jnl`	MiTU-Net: A fine-tuned U-Net with SegFormer backbone for segmenting pubic symphysis-fetal head. CoRR Fangyijie Wang, Guénolé C. M. Silvestre, Kathleen M. Curran
2024	J	`jnl`	PSFHS Challenge Report: Pubic Symphysis and Fetal Head Segmentation from Intrapartum Ultrasound Images. CoRR 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 C. M. 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
2024	—	`conf`	Partition-Based Medical Data Synthesis via Latent Diffusion. MICAD Yannuo Wen, John J. Healy, Kathleen M. Curran
2024	J	`jnl`	Rethinking Knee Osteoarthritis Severity Grading: A Few Shot Self-Supervised Contrastive Learning Approach. CoRR Niamh Belton, Misgina Tsighe Hagos, Aonghus Lawlor, Kathleen M. Curran
2024	J	`jnl`	Segmenting Fetal Head with Efficient Fine-tuning Strategies in Low-resource Settings: an empirical study with U-Net. CoRR Fangyijie Wang, Guénolé C. M. Silvestre, Kathleen M. Curran
2024	—	`conf`	Synthetic Balancing of Cardiac MRI Datasets. MIUA (2) Carles García-Cabrera, Eric Arazo Sanchez, Enric Moreu, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness
2024	J	`jnl`	Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image Segmentation. CoRR Sidra Aleem, Fangyijie Wang, Mayug Maniparambil, Eric Arazo, Julia Dietlmeier, Guénolé C. M. Silvestre, Kathleen M. Curran, Noel E. O'Connor, Suzanne Little
2024	—	`conf`	Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero-shot Medical Image Segmentation. CVPR Workshops Sidra Aleem, Fangyijie Wang, Mayug Maniparambil, Eric Arazo, Julia Dietlmeier, Kathleen M. Curran, Noel E. O'Connor, Suzanne Little
2024	J	`jnl`	Towards a unified approach for unsupervised brain MRI Motion Artefact Detection with few shot Anomaly Detection. Comput. Medical Imaging Graph. Niamh Belton, Misgina Tsighe Hagos, Aonghus Lawlor, Kathleen M. Curran
2023	—	`conf`	Cardiac MRI Reconstruction from Undersampled K-Space Using Double-Stream IFFT and a Denoising GNA-UNET Pipeline. STACOM@MICCAI Julia Dietlmeier, Carles García-Cabrera, Anam Hashmi, Kathleen M. Curran, Noel E. O'Connor
2023	—	`conf`	Cardiac Magnetic Resonance Phase Detection Using Neural Networks. AICS Carles García-Cabrera, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness
2023	B	`conf`	Distance-Aware eXplanation Based Learning. ICTAI Misgina Tsighe Hagos, Niamh Belton, Kathleen M. Curran, Brian Mac Namee
2023	J	`jnl`	Distance-Aware eXplanation Based Learning. CoRR Misgina Tsighe Hagos, Niamh Belton, Kathleen M. Curran, Brian Mac Namee
2023	J	`jnl`	Evaluate Fine-tuning Strategies for Fetal Head Ultrasound Image Segmentation with U-Net. CoRR Fangyijie Wang, Guénolé C. M. Silvestre, Kathleen M. Curran
2023	J	`jnl`	FewSOME: Few Shot Anomaly Detection. CoRR Niamh Belton, Misgina Tsighe Hagos, Aonghus Lawlor, Kathleen M. Curran
2023	—	`conf`	FewSOME: One-Class Few Shot Anomaly Detection with Siamese Networks. CVPR Workshops Niamh Belton, Misgina Tsighe Hagos, Aonghus Lawlor, Kathleen M. Curran
2023	—	`conf`	Interpretable Weighted Siamese Network to Predict the Time to Onset of Alzheimer's Disease from MRI Images. SGAI Conf. Misgina Tsighe Hagos, Niamh Belton, Ronan P. Killeen, Kathleen M. Curran, Brian Mac Namee
2023	J	`jnl`	Learning from Exemplary Explanations. CoRR Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee
2023	B	`conf`	Unlearning Spurious Correlations in Chest X-Ray Classification. DS Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee
2023	J	`jnl`	Unlearning Spurious Correlations in Chest X-ray Classification. CoRR Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee
2023	J	`jnl`	Weighted Siamese Network to Predict the Time to Onset of Alzheimer's Disease from MRI Images. CoRR Misgina Tsighe Hagos, Niamh Belton, Ronan P. Killeen, Kathleen M. Curran, Brian Mac Namee
2022	—	`conf`	Cardiac Segmentation Using Transfer Learning Under Respiratory Motion Artifacts. STACOM@MICCAI Carles García-Cabrera, Eric Arazo, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness
2022	J	`jnl`	Cardiac Segmentation using Transfer Learning under Respiratory Motion Artifacts. CoRR Carles García-Cabrera, Eric Arazo, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness
2022	J	`jnl`	Identifying Spurious Correlations and Correcting them with an Explanation-based Learning. CoRR Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee
2022	C	`conf`	Impact of Feedback Type on Explanatory Interactive Learning. ISMIS Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee
2022	J	`jnl`	Impact of Feedback Type on Explanatory Interactive Learning. CoRR Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee
2022	—	`conf`	Interpretable Identification of Mild Cognitive Impairment Progression Using Stereotactic Surface Projections. PAIS@ECAI Misgina Tsighe Hagos, Ronan P. Killeen, Kathleen M. Curran, Brian Mac Namee
2021	J	`jnl`	Interpretability of a Deep Learning Model in the Application of Cardiac MRI Segmentation with an ACDC Challenge Dataset. CoRR Adrianna Janik, Jonathan Dodd, Georgiana Ifrim, Kris Sankaran, Kathleen M. Curran
2021	B	`conf`	Interpretability of a deep learning model in the application of cardiac MRI segmentation with an ACDC challenge dataset. Image Processing Adrianna Janik, Jonathan Dodd, Georgiana Ifrim, Kris Sankaran, Kathleen M. Curran
2021	—	`conf`	Optimising Knee Injury Detection with Spatial Attention and Validating Localisation Ability. MIUA Niamh Belton, Ivan Welaratne, Adil Dahlan, Ronan T. Hearne, Misgina Tsighe Hagos, Aonghus Lawlor, Kathleen M. Curran
2021	J	`jnl`	Optimising Knee Injury Detection with Spatial Attention and Validating Localisation Ability. CoRR Niamh Belton, Ivan Welaratne, Adil Dahlan, Ronan T. Hearne, Misgina Tsighe Hagos, Aonghus Lawlor, Kathleen M. Curran
2021	J	`jnl`	Semi-Supervised Siamese Network for Identifying Bad Data in Medical Imaging Datasets. CoRR Niamh Belton, Aonghus Lawlor, Kathleen M. Curran
2020	J	`jnl`	Bone Segmentation in Contrast Enhanced Whole-Body Computed Tomography. CoRR Patrick Leydon, Martin O'Connell, Derek Greene, Kathleen M. Curran
2020	C	`conf`	Doctoral Colloquium - A Snapshot of the Future: Virtual and Augmented Reality Training for Radiology. iLRN Xuanhui Xu, Eleni E. Mangina, David Kilroy, Kathleen M. Curran, John J. Healy, Abraham G. Campbell
2019	J	`jnl`	Anatomically accurate model of EMG during index finger flexion and abduction derived from diffusion tensor imaging. PLoS Comput. Biol. Diego Pereira Botelho, Kathleen M. Curran, Madeleine M. Lowery
2017	—	`conf`	Semi-automatic Bone Marrow Evaluation in PETCT for Multiple Myeloma. MIUA Patrick Leydon, Martin O'Connell, Derek Greene, Kathleen M. Curran
2015	B	`conf`	Deep evolution of image representations for handwritten digit recognition. CEC Alexandros Agapitos, Michael O'Neill, Miguel Nicolau, David Fagan, Ahmed Kattan, Anthony Brabazon, Kathleen M. Curran
2011	J	`jnl`	Dual channel rank-based intensity weighting for quantitative co-localization of microscopy images. BMC Bioinform. Vasanth R. Singan, Thouis R. Jones, Kathleen M. Curran, Jeremy C. Simpson
2011	Misc	`conf`	Similarity Measures for Cardiac Diffusion Tensor Imaging Registration. IMVIP Carla Gil, Adrianus J. Bakermans, Baastian J. van Nierop, Gustav J. Strijkers, Hans C. van Assen, Kathleen M. Curran
2003	B	`conf`	Diffusion Tensor Orientation Matching for Image Registration. Image Processing Kathleen M. Curran, Daniel C. Alexander