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Thomas Varsavsky
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2020 – today
- 2024
- [j3]Pedro Borges
, Richard Shaw, Thomas Varsavsky
Acquisition-invariant brain MRI segmentation with informative uncertainties. Medical Image Anal. 92: 103058 (2024) - 2023
- [i15]Thomas Foster, Ioana Croitoru, Robert Dorfman, Christoffer Edlund, Thomas Varsavsky, Jon Almazán:
Flexible visual prompts for in-context learning in computer vision. CoRR abs/2312.06592 (2023) - 2022
- [i14]Mauricio Orbes-Arteaga, Thomas Varsavsky, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, M. Jorge Cardoso:
Augmentation based unsupervised domain adaptation. CoRR abs/2202.11486 (2022) - 2021
- [j2]Kerstin Kläser
Imitation learning for improved 3D PET/MR attenuation correction. Medical Image Anal. 71: 102079 (2021) - [c12]Pedro Borges
The Role of MRI Physics in Brain Segmentation CNNs: Achieving Acquisition Invariance and Instructive Uncertainties. SASHIMI@MICCAI 2021: 67-76 - [i13]Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso:
The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties. CoRR abs/2111.02771 (2021) - [i12]Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso:
Acquisition-invariant brain MRI segmentation with informative uncertainties. CoRR abs/2111.04094 (2021) - 2020
- [j1]Richard Shaw
A k-Space Model of Movement Artefacts: Application to Segmentation Augmentation and Artefact Removal. IEEE Trans. Medical Imaging 39(9): 2881-2892 (2020) - [c11]Mark S. Graham, Carole H. Sudre
Hierarchical Brain Parcellation with Uncertainty. UNSURE/GRAIL@MICCAI 2020: 23-31 - [c10]Thomas Varsavsky, Mauricio Orbes-Arteaga
Test-Time Unsupervised Domain Adaptation. MICCAI (1) 2020: 428-436 - [c9]David A. Wood, Jeremy Lynch, Sina Kafiabadi, Emily Guilhem, Aisha Al Busaidi, Antanas Montvila, Thomas Varsavsky, Juveria Siddiqui, Naveen Gadapa, Matthew Townend, Martin Kiik, Keena Patel, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM). MIDL 2020: 811-826 - [i11]Petru-Daniel Tudosiu, Thomas Varsavsky, Richard Shaw, Mark S. Graham, Parashkev Nachev, Sébastien Ourselin, Carole H. Sudre, M. Jorge Cardoso:
Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE. CoRR abs/2002.05692 (2020) - [i10]David A. Wood, Jeremy Lynch, Sina Kafiabadi, Emily Guilhem, Aisha Al Busaidi, Antanas Montvila, Thomas Varsavsky, Juveria Siddiqui, Naveen Gadapa, Matthew Townend, Martin Kiik, Keena Patel, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM). CoRR abs/2002.06588 (2020) - [i9]Mark S. Graham, Carole H. Sudre, Thomas Varsavsky, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Hierarchical brain parcellation with uncertainty. CoRR abs/2009.07573 (2020) - [i8]Thomas Varsavsky, Mauricio Orbes-Arteaga, Carole H. Sudre, Mark S. Graham, Parashkev Nachev, M. Jorge Cardoso:
Test-time Unsupervised Domain Adaptation. CoRR abs/2010.01926 (2020)
2010 – 2019
- 2019
- [c8]Kerstin Kläser, Thomas Varsavsky, Pawel Markiewicz, Tom Vercauteren
Improved MR to CT Synthesis for PET/MR Attenuation Correction Using Imitation Learning. SASHIMI@MICCAI 2019: 13-21 - [c7]Mauricio Orbes-Arteaga
Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning. DART/MIL3ID@MICCAI 2019: 54-62 - [c6]Pedro Borges
Physics-Informed Brain MRI Segmentation. SASHIMI@MICCAI 2019: 100-109 - [c5]Zach Eaton-Rosen, Thomas Varsavsky, Sébastien Ourselin
As Easy as 1, 2...4? Uncertainty in Counting Tasks for Medical Imaging. MICCAI (4) 2019: 356-364 - [c4]Guilherme Pombo, Robert J. Gray, Thomas Varsavsky, John Ashburner, Parashkev Nachev:
Bayesian Volumetric Autoregressive Generative Models for Better Semisupervised Learning. MICCAI (4) 2019: 429-437 - [c3]Carole H. Sudre
Let's Agree to Disagree: Learning Highly Debatable Multirater Labelling. MICCAI (4) 2019: 665-673 - [c2]Carole H. Sudre, Beatriz Gomez Anson, Silvia Ingala, Chris D. Lane, Daniel Jimenez, Lukas Haider, Thomas Varsavsky, Lorna Smith, Sébastien Ourselin, Hans Rolf Jäger, M. Jorge Cardoso:
3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects. MIDL 2019: 447-456 - [i7]Zach Eaton-Rosen, Thomas Varsavsky, Sébastien Ourselin, M. Jorge Cardoso
As easy as 1, 2... 4? Uncertainty in counting tasks for medical imaging. CoRR abs/1907.11555 (2019) - [i6]Guilherme Pombo, Robert J. Gray, Thomas Varsavsky, John Ashburner, Parashkev Nachev:
Bayesian Volumetric Autoregressive generative models for better semisupervised learning. CoRR abs/1907.11559 (2019) - [i5]Mauricio Orbes-Arteaga, Thomas Varsavsky, Carole H. Sudre
Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning. CoRR abs/1908.05959 (2019) - [i4]Kerstin Kläser, Thomas Varsavsky, Pawel Markiewicz, Tom Vercauteren, David Atkinson, Kris Thielemans, Brian F. Hutton, M. Jorge Cardoso, Sébastien Ourselin:
Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning. CoRR abs/1908.08431 (2019) - [i3]Carole H. Sudre
Let's agree to disagree: learning highly debatable multirater labelling. CoRR abs/1909.01891 (2019) - 2018
- [c1]Thomas Varsavsky
PIMMS: Permutation Invariant Multi-modal Segmentation. DLMIA/ML-CDS@MICCAI 2018: 201-209 - [i2]Thomas Varsavsky, Zach Eaton-Rosen, Carole H. Sudre
PIMMS: Permutation Invariant Multi-Modal Segmentation. CoRR abs/1807.06537 (2018) - [i1]Carole H. Sudre
3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects. CoRR abs/1812.09046 (2018)
Coauthor Index
aka: M. Jorge Cardoso
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