Alison Q. O'Neil

56 papers A* 1A 1Journal 34Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Anatomy-Grounded Weakly Supervised Prompt Tuning for Chest X-ray Latent Diffusion Models. CoRR Konstantinos Vilouras, Ilias Stogiannidis, Junyu Yan, Alison Q. O'Neil, Sotirios A. Tsaftaris
2025	J	`jnl`	Automated neuroradiological support systems for multiple cerebrovascular disease markers - A systematic review and meta-analysis. Comput. Methods Programs Biomed. Jesse Phitidis, Alison Q. O'Neil, William Whiteley, Beatrice Alex, Joanna M. Wardlaw, Miguel O. Bernabeu, Maria del C. Valdés Hernández
2025	J	`jnl`	Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports. CoRR Francesco Dalla Serra, Patrick Schrempf, Chaoyang Wang, Zaiqiao Meng, Fani Deligianni, Alison Q. O'Neil
2025	J	`jnl`	Zero-Shot Medical Phrase Grounding With Off-the-Shelf Diffusion Models. IEEE J. Biomed. Health Informatics Konstantinos Vilouras, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
2024	J	`jnl`	Automated neuroradiological support systems for multiple cerebrovascular disease markers - A systematic review and meta-analysis. CoRR Jesse Phitidis, Alison Q. O'Neil, William Whiteley, Beatrice Alex, Joanna M. Wardlaw, Miguel O. Bernabeu, Maria del C. Valdés Hernández
2024	J	`jnl`	Compositionally Equivariant Representation Learning. IEEE Trans. Medical Imaging Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris
2024	—	`conf`	Confounder-Aware Image Synthesis for Pathology Segmentation in New Magnetic Resonance Imaging Sequences. MIUA (2) Jesse Phitidis, Antanas Kascenas, Maria del C. Valdés Hernández, William Whiteley, Joanna M. Wardlaw, Alison Q. O'Neil
2024	J	`jnl`	Zero-Shot Medical Phrase Grounding with Off-the-shelf Diffusion Models. CoRR Konstantinos Vilouras, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
2023	—	`conf`	Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. Bildverarbeitung für die Medizin David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein
2023	J	`jnl`	Acute stroke CDS: automatic retrieval of thrombolysis contraindications from unstructured clinical letters. Frontiers Digit. Health Murray Cutforth, Hannah Watson, Cameron Brown, Chaoyang Wang, Stuart Thomson, Dickon Fell, Vismantas Dilys, Morag Scrimgeour, Patrick Schrempf, James Lesh, Keith Muir, Alexander Weir, Alison Q. O'Neil
2023	J	`jnl`	Automated clinical coding using off-the-shelf large language models. CoRR Joseph S. Boyle, Antanas Kascenas, Pat Lok, Maria Liakata, Alison Q. O'Neil
2023	—	`conf`	Clinically Focussed Evaluation of Anomaly Detection and Localisation Methods Using Inpatient CT Head Data. DALI@MICCAI Antanas Kascenas, Chaoyang Wang, Patrick Schrempf, Ryan Grech, Hui Lu Goh, Mark Hall, Alison Q. O'Neil
2023	—	`conf`	Compositional Representation Learning for Brain Tumour Segmentation. DART@MICCAI Xiao Liu, Antanas Kascenas, Hannah Watson, Sotirios A. Tsaftaris, Alison Q. O'Neil
2023	J	`jnl`	Compositional Representation Learning for Brain Tumour Segmentation. CoRR Xiao Liu, Antanas Kascenas, Hannah Watson, Sotirios A. Tsaftaris, Alison Q. O'Neil
2023	J	`jnl`	Compositionally Equivariant Representation Learning. CoRR Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris
2023	J	`jnl`	Controllable Chest X-Ray Report Generation from Longitudinal Representations. CoRR Francesco Dalla Serra, Chaoyang Wang, Fani Deligianni, Jeffrey Dalton, Alison Q. O'Neil
2023	A*	`conf`	Diffusion Models for Causal Discovery via Topological Ordering. ICLR Pedro Sanchez, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris
2023	—	`conf`	Finding-Aware Anatomical Tokens for Chest X-Ray Automated Reporting. MLMI@MICCAI (1) Francesco Dalla Serra, Chaoyang Wang, Fani Deligianni, Jeff Dalton, Alison Q. O'Neil
2023	J	`jnl`	Finding-Aware Anatomical Tokens for Chest X-Ray Automated Reporting. CoRR Francesco Dalla Serra, Chaoyang Wang, Fani Deligianni, Jeffrey Dalton, Alison Q. O'Neil
2023	—	`conf`	Group Distributionally Robust Knowledge Distillation. MLMI@MICCAI (2) Konstantinos Vilouras, Xiao Liu, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
2023	J	`jnl`	Group Distributionally Robust Knowledge Distillation. CoRR Konstantinos Vilouras, Xiao Liu, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
2023	—	`conf`	Segmentation of White Matter Hyperintensities and Ischaemic Stroke Lesions in Structural MRI. MIUA Jesse Phitidis, Alison Q. O'Neil, Stewart Wiseman, David Alexander Dickie, Eleni Sakka, Agniete Kampaite, William Whiteley, Miguel O. Bernabeu, Beatrice Alex, Joanna M. Wardlaw, Maria del C. Valdés Hernández
2023	J	`jnl`	Survey: Leakage and Privacy at Inference Time. IEEE Trans. Pattern Anal. Mach. Intell. Marija Jegorova, Chaitanya Kaul, Charlie Mayor, Alison Q. O'Neil, Alexander Weir, Roderick Murray-Smith, Sotirios A. Tsaftaris
2023	J	`jnl`	The role of noise in denoising models for anomaly detection in medical images. CoRR Antanas Kascenas, Pedro Sanchez, Patrick Schrempf, Chaoyang Wang, William Clackett, Shadia Mikhael, Jeremy P. Voisey, Keith A. Goatman, Alexander Weir, Nicolas Pugeault, Sotirios A. Tsaftaris, Alison Q. O'Neil
2023	J	`jnl`	The role of noise in denoising models for anomaly detection in medical images. Medical Image Anal. Antanas Kascenas, Pedro Sanchez, Patrick Schrempf, Chaoyang Wang, William Clackett, Shadia Mikhael, Jeremy P. Voisey, Keith A. Goatman, Alexander Weir, Nicolas Pugeault, Sotirios A. Tsaftaris, Alison Q. O'Neil
2023	J	`jnl`	Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports. Frontiers Digit. Health Arlene Casey, Emma M. Davidson, Claire Grover, Richard Tobin, Andreas Grivas, Huayu Zhang, Patrick Schrempf, Alison Q. O'Neil, Liam Lee, Michael Walsh, Freya Pellie, Karen Ferguson, Vera Cvoro, Honghan Wu, Heather Whalley, Grant Mair, William Whiteley, Beatrice Alex
2022	—	`conf`	Anomaly Detection via Context and Local Feature Matching. ISBI Antanas Kascenas, Rory Young, Bjørn Sand Jensen, Nicolas Pugeault, Alison Q. O'Neil
2022	—	`conf`	CMRE-UoG team at ImageCLEFmedical Caption 2022: Concept Detection and Image Captioning. CLEF (Working Notes) Francesco Dalla Serra, Fani Deligianni, Jeffrey Dalton, Alison Q. O'Neil
2022	J	`jnl`	Causal Machine Learning for Healthcare and Precision Medicine. CoRR Pedro Sanchez, Jeremy P. Voisey, Tian Xia, Hannah I. Watson, Alison Q. O'Neil, Sotirios A. Tsaftaris
2022	—	`conf`	Denoising Autoencoders for Unsupervised Anomaly Detection in Brain MRI. MIDL Antanas Kascenas, Nicolas Pugeault, Alison Q. O'Neil
2022	J	`jnl`	Diffusion Models for Causal Discovery via Topological Ordering. CoRR Pedro Sanchez, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris
2022	—	`conf`	HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information. MAD@MICCAI Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
2022	J	`jnl`	HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information. CoRR Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
2022	—	`conf`	Improving Image Representations via MoCo Pre-training for Multimodal CXR Classification. MIUA Francesco Dalla Serra, Grzegorz Jacenków, Fani Deligianni, Jeff Dalton, Alison Q. O'Neil
2022	—	`conf`	Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers. ISBI Grzegorz Jacenków, Alison Q. O'Neil, Sotirios A. Tsaftaris
2022	J	`jnl`	Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers. CoRR Grzegorz Jacenków, Alison Q. O'Neil, Sotirios A. Tsaftaris
2022	J	`jnl`	Learning disentangled representations in the imaging domain. Medical Image Anal. Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris
2022	J	`jnl`	MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. IEEE Trans. Medical Imaging David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein
2022	—	`conf`	Multimodal Generation of Radiology Reports using Knowledge-Grounded Extraction of Entities and Relations. AACL/IJCNLP (1) Francesco Dalla Serra, William Clackett, Hamish MacKinnon, Chaoyang Wang, Fani Deligianni, Jeff Dalton, Alison Q. O'Neil
2022	—	`conf`	What is Healthy? Generative Counterfactual Diffusion for Lesion Localization. DGM4MICCAI@MICCAI Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris
2022	J	`jnl`	What is Healthy? Generative Counterfactual Diffusion for Lesion Localization. CoRR Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris
2022	—	`conf`	vMFNet: Compositionality Meets Domain-Generalised Segmentation. MICCAI (8) Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
2022	J	`jnl`	vMFNet: Compositionality Meets Domain-generalised Segmentation. CoRR Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
2021	J	`jnl`	A Tutorial on Learning Disentangled Representations in the Imaging Domain. CoRR Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris
2021	A	`conf`	Measuring the Biases and Effectiveness of Content-Style Disentanglement. BMVC Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison Q. O'Neil, Sotirios A. Tsaftaris
2021	J	`jnl`	Survey: Leakage and Privacy at Inference Time. CoRR Marija Jegorova, Chaitanya Kaul, Charlie Mayor, Alison Q. O'Neil, Alexander Weir, Roderick Murray-Smith, Sotirios A. Tsaftaris
2021	J	`jnl`	Templated Text Synthesis for Expert-Guided Multi-Label Extraction from Radiology Reports. Mach. Learn. Knowl. Extr. Patrick Schrempf, Hannah Watson, Eunsoo Park, Maciej Pajak, Hamish MacKinnon, Keith W. Muir, David Harris-Birtill, Alison Q. O'Neil
2020	J	`jnl`	INSIDE: Steering Spatial Attention with Non-Imaging Information in CNNs. CoRR Grzegorz Jacenków, Alison Q. O'Neil, Brian Mohr, Sotirios A. Tsaftaris
2020	—	`conf`	INSIDE: Steering Spatial Attention with Non-imaging Information in CNNs. MICCAI (4) Grzegorz Jacenków, Alison Q. O'Neil, Brian Mohr, Sotirios A. Tsaftaris
2020	—	`conf`	Paying Per-Label Attention for Multi-label Extraction from Radiology Reports. iMIMIC/MIL3ID/LABELS@MICCAI Patrick Schrempf, Hannah Watson, Shadia Mikhael, Maciej Pajak, Matús Falis, Aneta Lisowska, Keith W. Muir, David Harris-Birtill, Alison Q. O'Neil
2020	J	`jnl`	Paying Per-label Attention for Multi-label Extraction from Radiology Reports. CoRR Patrick Schrempf, Hannah Watson, Shadia Mikhael, Maciej Pajak, Matús Falis, Aneta Lisowska, Keith W. Muir, David Harris-Birtill, Alison Q. O'Neil
2020	J	`jnl`	Teacher-Student chain for efficient semi-supervised histology image classification. CoRR Shayne Shaw, Maciej Pajak, Aneta Lisowska, Sotirios A. Tsaftaris, Alison Q. O'Neil
2019	J	`jnl`	Language Transfer for Early Warning of Epidemics from Social Media. CoRR Mattias Appelgren, Patrick Schrempf, Matús Falis, Satoshi Ikeda, Alison Q. O'Neil
2018	—	`conf`	Attaining Human-Level Performance with Atlas Location Autocontext for Anatomical Landmark Detection in 3D CT Data. ECCV Workshops (3) Alison Q. O'Neil, Antanas Kascenas, Joseph Henry, Daniel Wyeth, Matthew Shepherd, Erin Beveridge, Lauren Clunie, Carrie Sansom, Evelina Seduikyte, Keith Muir, Ian Poole
2018	J	`jnl`	Attaining human-level performance for anatomical landmark detection in 3D CT data. CoRR Alison Q. O'Neil, Antanas Kascenas, Joseph Henry, Daniel Wyeth, Matthew Shepherd, Erin Beveridge, Lauren Clunie, Carrie Sansom, Evelina Seduikyte, Keith Muir, Ian Poole
2017	—	`conf`	Crowdsourcing Labels for Pathological Patterns in CT Lung Scans: Can Non-experts Contribute Expert-Quality Ground Truth? CVII-STENT/LABELS@MICCAI Alison Q. O'Neil, John T. Murchison, Edwin J. R. van Beek, Keith A. Goatman