Arterial tree tracking from anatomical landmarks in magnetic resonance angiography scans. - Alison O'Neil; Erin Beveridge; Graeme Houston; Lynne McCormick; Ian Poole (Image Processing, 2014)

Anatomical Landmark Detection in CT Data by Learned Atlas Location Autocontext. - Alison O'Neil; Sean Murphy; Ian Poole (MIUA, 2015)

Cross-Modality Anatomical Landmark Detection Using Histograms of Unsigned Gradient Orientations and Atlas Location Autocontext. - Alison O'Neil; Mohammad A. Dabbah; Ian Poole (MLMI@MICCAI, 2016)

Evaluation of Dense Vessel Detection in NCCT Scans. - Aneta Lisowska; Erin Beveridge; Alison O'Neil; Vismantas Dilys; Keith Muir 001; Ian Poole (BIOSTEC (Selected Papers), 2017)

Crowdsourcing Labels for Pathological Patterns in CT Lung Scans: Can Non-experts Contribute Expert-Quality Ground Truth? - Alison Q. O'Neil; John T. Murchison; Edwin J. R. van Beek; Keith A. Goatman (CVII-STENT/LABELS@MICCAI, 2017)

Context-Aware Convolutional Neural Networks for Stroke Sign Detection in Non-contrast CT Scans. - Aneta Lisowska; Alison O'Neil; Vismantas Dilys; Matthew Daykin; Erin Beveridge; Keith Muir 001; Stephen McLaughlin 001; Ian Poole (MIUA, 2017)

A Comparison of Texture Features Versus Deep Learning for Image Classification in Interstitial Lung Disease. - Alison O'Neil; Matthew Shepherd; Erin Beveridge; Keith A. Goatman (MIUA, 2017)

Cross-cohort Evaluation of Machine Learning Approaches to Fall Detection from Accelerometer Data. - Aneta Lisowska; Alison O'Neil; Ian Poole (HEALTHINF, 2018)

Attaining Human-Level Performance with Atlas Location Autocontext for Anatomical Landmark Detection in 3D CT Data. - Alison Q. O'Neil; Antanas Kascenas; Joseph Henry; Daniel Wyeth; Matthew Shepherd; Erin Beveridge; Lauren Clunie; Carrie Sansom; Evelina Seduikyte; Keith Muir 001; Ian Poole (ECCV Workshops (3), 2018)

Attaining human-level performance for anatomical landmark detection in 3D CT data. - Alison Q. O'Neil; Antanas Kascenas; Joseph Henry; Daniel Wyeth; Matthew Shepherd; Erin Beveridge; Lauren Clunie; Carrie Sansom; Evelina Seduikyte; Keith Muir 001; Ian Poole (CoRR, 2018)

Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text. - Matús Falis; Maciej Pajak; Aneta Lisowska; Patrick Schrempf; Lucas Deckers; Shadia Mikhael; Sotirios A. Tsaftaris; Alison O'Neil (LOUHI@EMNLP, 2019)

Comparison of Active Learning Strategies Applied to Lung Nodule Segmentation in CT Scans. - Daria Zotova; Aneta Lisowska; Owen Anderson; Vismantas Dilys; Alison O'Neil (LABELS/HAL-MICCAI/CuRIOUS@MICCAI, 2019)

Language Transfer for Early Warning of Epidemics from Social Media. - Mattias Appelgren; Patrick Schrempf; Matús Falis; Satoshi Ikeda; Alison Q. O'Neil (CoRR, 2019)

INSIDE: Steering Spatial Attention with Non-imaging Information in CNNs. - Grzegorz Jacenków; Alison Q. O'Neil; Brian Mohr; Sotirios A. Tsaftaris (MICCAI (4), 2020)

Disentangled Representations for Domain-Generalized Cardiac Segmentation. - Xiao Liu 037; Spyridon Thermos; Agisilaos Chartsias; Alison O'Neil; Sotirios A. Tsaftaris (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Paying Per-Label Attention for Multi-label Extraction from Radiology Reports. - Patrick Schrempf; Hannah Watson; Shadia Mikhael; Maciej Pajak; Matús Falis; Aneta Lisowska; Keith W. Muir; David Harris-Birtill; Alison Q. O'Neil (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

Teacher-Student chain for efficient semi-supervised histology image classification. - Shayne Shaw; Maciej Pajak; Aneta Lisowska; Sotirios A. Tsaftaris; Alison Q. O'Neil (CoRR, 2020)

Metrics for Exposing the Biases of Content-Style Disentanglement. - Xiao Liu 037; Spyridon Thermos; Gabriele Valvano; Agisilaos Chartsias; Alison O'Neil; Sotirios A. Tsaftaris (CoRR, 2020)

A Multi-Organ Nucleus Segmentation Challenge. - Neeraj Kumar 002; Ruchika Verma; Deepak Anand; Yanning Zhou 001; Omer Fahri Onder; Efstratios Tsougenis; Hao Chen 011; Pheng-Ann Heng; Jiahui Li 005; Zhiqiang Hu; Yunzhi Wang; Navid Alemi Koohbanani; et al. (IEEE Trans. Medical Imaging, 2020)

Measuring the Biases and Effectiveness of Content-Style Disentanglement. - Xiao Liu 037; Spyridon Thermos; Gabriele Valvano; Agisilaos Chartsias; Alison Q. O'Neil; Sotirios A. Tsaftaris (BMVC, 2021)

Semi-supervised Meta-learning with Disentanglement for Domain-Generalised Medical Image Segmentation. - Xiao Liu 037; Spyridon Thermos; Alison O'Neil; Sotirios A. Tsaftaris (MICCAI (2), 2021)

Controllable Cardiac Synthesis via Disentangled Anatomy Arithmetic. - Spyridon Thermos; Xiao Liu 037; Alison O'Neil; Sotirios A. Tsaftaris (MICCAI (3), 2021)

A Tutorial on Learning Disentangled Representations in the Imaging Domain. - Xiao Liu 037; Pedro Sanchez; Spyridon Thermos; Alison Q. O'Neil; Sotirios A. Tsaftaris (CoRR, 2021)

Templated Text Synthesis for Expert-Guided Multi-Label Extraction from Radiology Reports. - Patrick Schrempf; Hannah Watson; Eunsoo Park; Maciej Pajak; Hamish MacKinnon; Keith W. Muir; David Harris-Birtill; Alison Q. O'Neil (Mach. Learn. Knowl. Extr., 2021)

CMRE-UoG team at ImageCLEFmedical Caption 2022: Concept Detection and Image Captioning. - Francesco Dalla Serra; Fani Deligianni; Jeffrey Dalton 001; Alison Q. O'Neil (CLEF (Working Notes), 2022)

Multimodal Generation of Radiology Reports using Knowledge-Grounded Extraction of Entities and Relations. - Francesco Dalla Serra; William Clackett; Hamish MacKinnon; Chaoyang Wang; Fani Deligianni; Jeff Dalton 001; Alison Q. O'Neil (AACL/IJCNLP (1), 2022)

Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers. - Grzegorz Jacenków; Alison Q. O'Neil; Sotirios A. Tsaftaris (ISBI, 2022)

Anomaly Detection via Context and Local Feature Matching. - Antanas Kascenas; Rory Young; Bjørn Sand Jensen; Nicolas Pugeault; Alison Q. O'Neil (ISBI, 2022)

vMFNet: Compositionality Meets Domain-Generalised Segmentation. - Xiao Liu 037; Spyridon Thermos; Pedro Sanchez; Alison Q. O'Neil; Sotirios A. Tsaftaris (MICCAI (8), 2022)

HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information. - Xiao Liu 037; Spyridon Thermos; Pedro Sanchez; Alison Q. O'Neil; Sotirios A. Tsaftaris (MAD@MICCAI, 2022)

What is Healthy? Generative Counterfactual Diffusion for Lesion Localization. - Pedro Sanchez; Antanas Kascenas; Xiao Liu 037; Alison Q. O'Neil; Sotirios A. Tsaftaris (DGM4MICCAI@MICCAI, 2022)

Denoising Autoencoders for Unsupervised Anomaly Detection in Brain MRI. - Antanas Kascenas; Nicolas Pugeault; Alison Q. O'Neil (MIDL, 2022)

Improving Image Representations via MoCo Pre-training for Multimodal CXR Classification. - Francesco Dalla Serra; Grzegorz Jacenków; Fani Deligianni; Jeff Dalton 001; Alison Q. O'Neil (MIUA, 2022)

Causal Machine Learning for Healthcare and Precision Medicine. - Pedro Sanchez; Jeremy P. Voisey; Tian Xia; Hannah I. Watson; Alison Q. O'Neil; Sotirios A. Tsaftaris (CoRR, 2022)

Learning disentangled representations in the imaging domain. - Xiao Liu 037; Pedro Sanchez; Spyridon Thermos; Alison Q. O'Neil; Sotirios A. Tsaftaris (Medical Image Anal., 2022)

MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. - David Zimmerer; Peter M. Full; Fabian Isensee; Paul Jäger 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (IEEE Trans. Medical Imaging, 2022)

Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. - David Zimmerer; Peter M. Full; Fabian Isensee; Paul Jäger 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (Bildverarbeitung für die Medizin, 2023)

Controllable Chest X-Ray Report Generation from Longitudinal Representations. - Francesco Dalla Serra; Chaoyang Wang; Fani Deligianni; Jeff Dalton 001; Alison O'Neil (EMNLP (Findings), 2023)

Diffusion Models for Causal Discovery via Topological Ordering. - Pedro Sanchez; Xiao Liu 037; Alison Q. O'Neil; Sotirios A. Tsaftaris (ICLR, 2023)

Clinically Focussed Evaluation of Anomaly Detection and Localisation Methods Using Inpatient CT Head Data. - Antanas Kascenas; Chaoyang Wang; Patrick Schrempf; Ryan Grech; Hui Lu Goh; Mark Hall; Alison Q. O'Neil (DALI@MICCAI, 2023)

Compositional Representation Learning for Brain Tumour Segmentation. - Xiao Liu 037; Antanas Kascenas; Hannah Watson; Sotirios A. Tsaftaris; Alison Q. O'Neil (DART@MICCAI, 2023)

Segmentation of White Matter Hyperintensities and Ischaemic Stroke Lesions in Structural MRI. - 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 (MIUA, 2023)

Finding-Aware Anatomical Tokens for Chest X-Ray Automated Reporting. - Francesco Dalla Serra; Chaoyang Wang; Fani Deligianni; Jeff Dalton 001; Alison Q. O'Neil (MLMI@MICCAI (1), 2023)

Group Distributionally Robust Knowledge Distillation. - Konstantinos Vilouras; Xiao Liu 037; Pedro Sanchez; Alison Q. O'Neil; Sotirios A. Tsaftaris (MLMI@MICCAI (2), 2023)

Automated clinical coding using off-the-shelf large language models. - Joseph S. Boyle; Antanas Kascenas; Pat Lok; Maria Liakata; Alison Q. O'Neil (CoRR, 2023)

Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports. - 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; et al. (Frontiers Digit. Health, 2023)

Acute stroke CDS: automatic retrieval of thrombolysis contraindications from unstructured clinical letters. - Murray Cutforth; Hannah Watson; Cameron Brown; Chaoyang Wang; Stuart Thomson; Dickon Fell; Vismantas Dilys; Morag Scrimgeour; Patrick Schrempf; James Lesh; Keith Muir 001; Alexander Weir; et al. (Frontiers Digit. Health, 2023)

Survey: Leakage and Privacy at Inference Time. - Marija Jegorova; Chaitanya Kaul; Charlie Mayor; Alison Q. O'Neil; Alexander Weir; Roderick Murray-Smith; Sotirios A. Tsaftaris (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

The role of noise in denoising models for anomaly detection in medical images. - 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 (Medical Image Anal., 2023)

Confounder-Aware Image Synthesis for Pathology Segmentation in New Magnetic Resonance Imaging Sequences. - Jesse Phitidis; Antanas Kascenas; Maria del C. Valdés Hernández; William Whiteley; Joanna M. Wardlaw; Alison Q. O'Neil (MIUA (2), 2024)

Zero-Shot Medical Phrase Grounding with Off-the-shelf Diffusion Models. - Konstantinos Vilouras; Pedro Sanchez; Alison Q. O'Neil; Sotirios A. Tsaftaris (CoRR, 2024)

Compositionally Equivariant Representation Learning. - Xiao Liu 037; Pedro Sanchez; Spyridon Thermos; Alison Q. O'Neil; Sotirios A. Tsaftaris (IEEE Trans. Medical Imaging, 2024)

Automated neuroradiological support systems for multiple cerebrovascular disease markers - A systematic review and meta-analysis. - Jesse Phitidis; Alison Q. O'Neil; William Whiteley; Beatrice Alex; Joanna M. Wardlaw; Miguel O. Bernabeu; Maria del C. Valdés Hernández (Comput. Methods Programs Biomed., 2025)

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports. - Francesco Dalla Serra; Patrick Schrempf; Chaoyang Wang; Zaiqiao Meng; Fani Deligianni; Alison Q. O'Neil (CoRR, 2025)

Anatomy-Grounded Weakly Supervised Prompt Tuning for Chest X-ray Latent Diffusion Models. - Konstantinos Vilouras; Ilias Stogiannidis; Junyu Yan; Alison Q. O'Neil; Sotirios A. Tsaftaris (CoRR, 2025)