Alison Q. O'Neil

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 51

Top Topics

Image Classification

Chest Radiographs

Magnetic Resonance

Top Venues

Medical Image Anal.

Frontiers Digit. Health

Publications

Jesse Phitidis, Antanas Kascenas, Maria del C. Valdés Hernández, William Whiteley, Joanna M. Wardlaw, Alison Q. O'Neil
Confounder-Aware Image Synthesis for Pathology Segmentation in New Magnetic Resonance Imaging Sequences. MIUA (2) (2024)
Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris
Compositionally Equivariant Representation Learning. IEEE Trans. Medical Imaging 43 (6) (2024)
Konstantinos Vilouras, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
Zero-Shot Medical Phrase Grounding with Off-the-shelf Diffusion Models. CoRR (2024)
Francesco Dalla Serra, Chaoyang Wang, Fani Deligianni, Jeffrey Dalton, Alison Q. O'Neil
Controllable Chest X-Ray Report Generation from Longitudinal Representations. CoRR (2023)
Xiao Liu, Antanas Kascenas, Hannah Watson, Sotirios A. Tsaftaris, Alison Q. O'Neil
Compositional Representation Learning for Brain Tumour Segmentation. DART@MICCAI (2023)
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
The role of noise in denoising models for anomaly detection in medical images. CoRR (2023)
Konstantinos Vilouras, Xiao Liu, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
Group Distributionally Robust Knowledge Distillation. CoRR (2023)
Pedro Sanchez, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris
Diffusion Models for Causal Discovery via Topological Ordering. ICLR (2023)
Antanas Kascenas, Chaoyang Wang, Patrick Schrempf, Ryan Grech, Hui Lu Goh, Mark Hall, Alison Q. O'Neil
Clinically Focussed Evaluation of Anomaly Detection and Localisation Methods Using Inpatient CT Head Data. DALI@MICCAI (2023)
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
Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports. Frontiers Digit. Health 5 (2023)
Marija Jegorova, Chaitanya Kaul, Charlie Mayor, Alison Q. O'Neil, Alexander Weir, Roderick Murray-Smith, Sotirios A. Tsaftaris
Survey: Leakage and Privacy at Inference Time. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris
Compositionally Equivariant Representation Learning. CoRR (2023)
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
The role of noise in denoising models for anomaly detection in medical images. Medical Image Anal. 90 (2023)
Xiao Liu, Antanas Kascenas, Hannah Watson, Sotirios A. Tsaftaris, Alison Q. O'Neil
Compositional Representation Learning for Brain Tumour Segmentation. CoRR (2023)
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
Segmentation of White Matter Hyperintensities and Ischaemic Stroke Lesions in Structural MRI. MIUA (2023)
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
Acute stroke CDS: automatic retrieval of thrombolysis contraindications from unstructured clinical letters. Frontiers Digit. Health 5 (2023)
Joseph S. Boyle, Antanas Kascenas, Pat Lok, Maria Liakata, Alison Q. O'Neil
Automated clinical coding using off-the-shelf large language models. CoRR (2023)
Konstantinos Vilouras, Xiao Liu, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
Group Distributionally Robust Knowledge Distillation. MLMI@MICCAI (2) (2023)
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
Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. Bildverarbeitung für die Medizin (2023)
Francesco Dalla Serra, Chaoyang Wang, Fani Deligianni, Jeffrey Dalton, Alison Q. O'Neil
Finding-Aware Anatomical Tokens for Chest X-Ray Automated Reporting. CoRR (2023)
Francesco Dalla Serra, Chaoyang Wang, Fani Deligianni, Jeff Dalton, Alison Q. O'Neil
Finding-Aware Anatomical Tokens for Chest X-Ray Automated Reporting. MLMI@MICCAI (1) (2023)
Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information. MAD@MICCAI (2022)
Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris
What is Healthy? Generative Counterfactual Diffusion for Lesion Localization. DGM4MICCAI@MICCAI (2022)
Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
vMFNet: Compositionality Meets Domain-Generalised Segmentation. MICCAI (8) (2022)
Antanas Kascenas, Nicolas Pugeault, Alison Q. O'Neil
Denoising Autoencoders for Unsupervised Anomaly Detection in Brain MRI. MIDL (2022)
Grzegorz Jacenków, Alison Q. O'Neil, Sotirios A. Tsaftaris
Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers. ISBI (2022)
Antanas Kascenas, Rory Young, Bjørn Sand Jensen, Nicolas Pugeault, Alison Q. O'Neil
Anomaly Detection via Context and Local Feature Matching. ISBI (2022)
Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
vMFNet: Compositionality Meets Domain-generalised Segmentation. CoRR (2022)
Francesco Dalla Serra, William Clackett, Hamish MacKinnon, Chaoyang Wang, Fani Deligianni, Jeff Dalton, Alison Q. O'Neil
Multimodal Generation of Radiology Reports using Knowledge-Grounded Extraction of Entities and Relations. AACL/IJCNLP (1) (2022)
Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris
Learning disentangled representations in the imaging domain. Medical Image Anal. 80 (2022)
Pedro Sanchez, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris
Diffusion Models for Causal Discovery via Topological Ordering. CoRR (2022)
Pedro Sanchez, Jeremy P. Voisey, Tian Xia, Hannah I. Watson, Alison Q. O'Neil, Sotirios A. Tsaftaris
Causal Machine Learning for Healthcare and Precision Medicine. CoRR (2022)
Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris
What is Healthy? Generative Counterfactual Diffusion for Lesion Localization. CoRR (2022)
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
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. IEEE Trans. Medical Imaging 41 (10) (2022)
Francesco Dalla Serra, Grzegorz Jacenków, Fani Deligianni, Jeff Dalton, Alison Q. O'Neil
Improving Image Representations via MoCo Pre-training for Multimodal CXR Classification. MIUA (2022)
Francesco Dalla Serra, Fani Deligianni, Jeffrey Dalton, Alison Q. O'Neil
CMRE-UoG team at ImageCLEFmedical Caption 2022: Concept Detection and Image Captioning. CLEF (Working Notes) (2022)
Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information. CoRR (2022)
Grzegorz Jacenków, Alison Q. O'Neil, Sotirios A. Tsaftaris
Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers. CoRR (2022)
Marija Jegorova, Chaitanya Kaul, Charlie Mayor, Alison Q. O'Neil, Alexander Weir, Roderick Murray-Smith, Sotirios A. Tsaftaris
Survey: Leakage and Privacy at Inference Time. CoRR (2021)
Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris
A Tutorial on Learning Disentangled Representations in the Imaging Domain. CoRR (2021)
Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison Q. O'Neil, Sotirios A. Tsaftaris
Measuring the Biases and Effectiveness of Content-Style Disentanglement. BMVC (2021)
Patrick Schrempf, Hannah Watson, Eunsoo Park, Maciej Pajak, Hamish MacKinnon, Keith W. Muir, David Harris-Birtill, Alison Q. O'Neil
Templated Text Synthesis for Expert-Guided Multi-Label Extraction from Radiology Reports. Mach. Learn. Knowl. Extr. 3 (2) (2021)
Grzegorz Jacenków, Alison Q. O'Neil, Brian Mohr, Sotirios A. Tsaftaris
INSIDE: Steering Spatial Attention with Non-Imaging Information in CNNs. CoRR (2020)
Grzegorz Jacenków, Alison Q. O'Neil, Brian Mohr, Sotirios A. Tsaftaris
INSIDE: Steering Spatial Attention with Non-imaging Information in CNNs. MICCAI (4) (2020)
Shayne Shaw, Maciej Pajak, Aneta Lisowska, Sotirios A. Tsaftaris, Alison Q. O'Neil
Teacher-Student chain for efficient semi-supervised histology image classification. CoRR (2020)
Patrick Schrempf, Hannah Watson, Shadia Mikhael, Maciej Pajak, Matús Falis, Aneta Lisowska, Keith W. Muir, David Harris-Birtill, Alison Q. O'Neil
Paying Per-Label Attention for Multi-label Extraction from Radiology Reports. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Patrick Schrempf, Hannah Watson, Shadia Mikhael, Maciej Pajak, Matús Falis, Aneta Lisowska, Keith W. Muir, David Harris-Birtill, Alison Q. O'Neil
Paying Per-label Attention for Multi-label Extraction from Radiology Reports. CoRR (2020)
Mattias Appelgren, Patrick Schrempf, Matús Falis, Satoshi Ikeda, Alison Q. O'Neil
Language Transfer for Early Warning of Epidemics from Social Media. CoRR (2019)
Alison Q. O'Neil, Antanas Kascenas, Joseph Henry, Daniel Wyeth, Matthew Shepherd, Erin Beveridge, Lauren Clunie, Carrie Sansom, Evelina Seduikyte, Keith Muir, Ian Poole
Attaining human-level performance for anatomical landmark detection in 3D CT data. CoRR (2018)
Alison Q. O'Neil, Antanas Kascenas, Joseph Henry, Daniel Wyeth, Matthew Shepherd, Erin Beveridge, Lauren Clunie, Carrie Sansom, Evelina Seduikyte, Keith Muir, Ian Poole
Attaining Human-Level Performance with Atlas Location Autocontext for Anatomical Landmark Detection in 3D CT Data. ECCV Workshops (3) (2018)
Alison Q. O'Neil, John T. Murchison, Edwin J. R. van Beek, Keith A. Goatman
Crowdsourcing Labels for Pathological Patterns in CT Lung Scans: Can Non-experts Contribute Expert-Quality Ground Truth? CVII-STENT/LABELS@MICCAI (2017)