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Antanas Kascenas
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2020 – today
- 2024
- [c8]Jesse Phitidis
, Antanas Kascenas
Confounder-Aware Image Synthesis for Pathology Segmentation in New Magnetic Resonance Imaging Sequences. MIUA (2) 2024: 227-241 - 2023
- [j3]Antanas Kascenas, Pedro Sanchez
The role of noise in denoising models for anomaly detection in medical images. Medical Image Anal. 90: 102963 (2023) - [c7]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
Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. Bildverarbeitung für die Medizin 2023: 312 - [c6]Xiao Liu, Antanas Kascenas, Hannah Watson, Sotirios A. Tsaftaris, Alison Q. O'Neil:
Compositional Representation Learning for Brain Tumour Segmentation. DART@MICCAI 2023: 41-51 - [c5]Antanas Kascenas, Chaoyang Wang, Patrick Schrempf, Ryan Grech
Clinically Focussed Evaluation of Anomaly Detection and Localisation Methods Using Inpatient CT Head Data. DALI@MICCAI 2023: 63-72 - [i5]Antanas Kascenas, Pedro Sanchez, Patrick Schrempf, Chaoyang Wang, William Clackett, Shadia Mikhael, Jeremy P. Voisey, Keith A. Goatman, Alexander Weir
The role of noise in denoising models for anomaly detection in medical images. CoRR abs/2301.08330 (2023) - [i4]Joseph S. Boyle, Antanas Kascenas, Pat Lok, Maria Liakata, Alison Q. O'Neil:
Automated clinical coding using off-the-shelf large language models. CoRR abs/2310.06552 (2023) - [i3]Xiao Liu, Antanas Kascenas, Hannah Watson, Sotirios A. Tsaftaris, Alison Q. O'Neil:
Compositional Representation Learning for Brain Tumour Segmentation. CoRR abs/2310.06562 (2023) - 2022
- [j2]David Zimmerer
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. IEEE Trans. Medical Imaging 41(10): 2728-2738 (2022) - [c4]Antanas Kascenas, Rory Young, Bjørn Sand Jensen, Nicolas Pugeault, Alison Q. O'Neil:
Anomaly Detection via Context and Local Feature Matching. ISBI 2022: 1-5 - [c3]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: 34-44 - [c2]Antanas Kascenas, Nicolas Pugeault, Alison Q. O'Neil:
Denoising Autoencoders for Unsupervised Anomaly Detection in Brain MRI. MIDL 2022: 653-664 - [i2]Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris:
What is Healthy? Generative Counterfactual Diffusion for Lesion Localization. CoRR abs/2207.12268 (2022) - 2020
- [j1]Neeraj Kumar
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39(5): 1380-1391 (2020)
2010 – 2019
- 2018
- [c1]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: 470-484 - [i1]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 abs/1805.08687 (2018)
Coauthor Index
aka: Alison Q. O'Neil
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