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)

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)

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

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)

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)

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)

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)