Alison O'Neil

According to our database, Alison O'Neil authored at least 49 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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., December, 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., July, 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, Alexander Weir, Alison Q. O'Neil

Frontiers Digit. Health, March, 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, Vera Cvoro, Honghan Wu, Heather Whalley, Grant Mair, William Whiteley, Beatrice Alex

Frontiers Digit. Health, March, 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

Compositionally Equivariant Representation Learning.

Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris

CoRR, 2023

Group Distributionally Robust Knowledge Distillation.

Konstantinos Vilouras, Xiao Liu, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Finding-Aware Anatomical Tokens for Chest X-Ray Automated Reporting.

Francesco Dalla Serra, Chaoyang Wang, Fani Deligianni, Jeff Dalton, Alison Q. O'Neil

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 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

Proceedings of the Medical Image Understanding and Analysis - 27th Annual Conference, 2023

Compositional Representation Learning for Brain Tumour Segmentation.

Xiao Liu, Antanas Kascenas, Hannah Watson, Sotirios A. Tsaftaris, Alison Q. O'Neil

Proceedings of the Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, 2023

Diffusion Models for Causal Discovery via Topological Ordering.

Pedro Sanchez, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Controllable Chest X-Ray Report Generation from Longitudinal Representations.

Francesco Dalla Serra, Chaoyang Wang, Fani Deligianni, Jeff Dalton, Alison O'Neil

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

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, 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

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

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, 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

IEEE Trans. Medical Imaging, 2022

Learning disentangled representations in the imaging domain.

Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris

Medical Image Anal., 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

Improving Image Representations via MoCo Pre-training for Multimodal CXR Classification.

Francesco Dalla Serra, Grzegorz Jacenków, Fani Deligianni, Jeff Dalton, Alison Q. O'Neil

Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

Denoising Autoencoders for Unsupervised Anomaly Detection in Brain MRI.

Antanas Kascenas, Nicolas Pugeault, Alison Q. O'Neil

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

What is Healthy? Generative Counterfactual Diffusion for Lesion Localization.

Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris

Proceedings of the Deep Generative Models - Second MICCAI Workshop, 2022

HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information.

Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris

Proceedings of the Medical Applications with Disentanglements - First MICCAI Workshop, 2022

vMFNet: Compositionality Meets Domain-Generalised Segmentation.

Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Anomaly Detection via Context and Local Feature Matching.

Antanas Kascenas, Rory Young, Bjørn Sand Jensen, Nicolas Pugeault, Alison Q. O'Neil

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers.

Grzegorz Jacenków, Alison Q. O'Neil, Sotirios A. Tsaftaris

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 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, Alison Q. O'Neil

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

CMRE-UoG team at ImageCLEFmedical Caption 2022: Concept Detection and Image Captioning.

Francesco Dalla Serra, Fani Deligianni, Jeffrey Dalton, Alison Q. O'Neil

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

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

A Tutorial on Learning Disentangled Representations in the Imaging Domain.

Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris

CoRR, 2021

Controllable Cardiac Synthesis via Disentangled Anatomy Arithmetic.

Spyridon Thermos, Xiao Liu, Alison O'Neil, Sotirios A. Tsaftaris

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Semi-supervised Meta-learning with Disentanglement for Domain-Generalised Medical Image Segmentation.

Xiao Liu, Spyridon Thermos, Alison O'Neil, Sotirios A. Tsaftaris

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Measuring the Biases and Effectiveness of Content-Style Disentanglement.

Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison Q. O'Neil, Sotirios A. Tsaftaris

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

A Multi-Organ Nucleus Segmentation Challenge.

Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi

IEEE Trans. Medical Imaging, 2020

Metrics for Exposing the Biases of Content-Style Disentanglement.

Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris

CoRR, 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

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

Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

Disentangled Representations for Domain-Generalized Cardiac Segmentation.

Xiao Liu, Spyridon Thermos, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

INSIDE: Steering Spatial Attention with Non-imaging Information in CNNs.

Grzegorz Jacenków, Alison Q. O'Neil, Brian Mohr, Sotirios A. Tsaftaris

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

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

Comparison of Active Learning Strategies Applied to Lung Nodule Segmentation in CT Scans.

Daria Zotova, Aneta Lisowska, Owen Anderson, Vismantas Dilys, Alison O'Neil

Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019

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

Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis LOUHI@EMNLP 2019, 2019

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, Ian Poole

CoRR, 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, Ian Poole

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Cross-cohort Evaluation of Machine Learning Approaches to Fall Detection from Accelerometer Data.

Aneta Lisowska, Alison O'Neil, Ian Poole

Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

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

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 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, Stephen McLaughlin, Ian Poole

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 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

Proceedings of the Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2017

Evaluation of Dense Vessel Detection in NCCT Scans.

Aneta Lisowska, Erin Beveridge, Alison O'Neil, Vismantas Dilys, Keith Muir, Ian Poole

Proceedings of the Biomedical Engineering Systems and Technologies, 2017

2016

Cross-Modality Anatomical Landmark Detection Using Histograms of Unsigned Gradient Orientations and Atlas Location Autocontext.

Alison O'Neil, Mohammad A. Dabbah, Ian Poole

Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

2015

Anatomical Landmark Detection in CT Data by Learned Atlas Location Autocontext.

Alison O'Neil, Sean Murphy, Ian Poole

Proceedings of the Medical Image Understanding and Analysis, 2015

2014

Arterial tree tracking from anatomical landmarks in magnetic resonance angiography scans.

Alison O'Neil, Erin Beveridge, Graeme Houston, Lynne McCormick, Ian Poole

Proceedings of the Medical Imaging 2014: Image Processing, 2014