Thomas Varsavsky

30 papers Journal 18Unranked 12

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Acquisition-invariant brain MRI segmentation with informative uncertainties. Medical Image Anal. Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso
2023	J	`jnl`	Flexible visual prompts for in-context learning in computer vision. CoRR Thomas Foster, Ioana Croitoru, Robert Dorfman, Christoffer Edlund, Thomas Varsavsky, Jon Almazán
2022	J	`jnl`	Augmentation based unsupervised domain adaptation. CoRR Mauricio Orbes-Arteaga, Thomas Varsavsky, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, M. Jorge Cardoso
2021	J	`jnl`	Acquisition-invariant brain MRI segmentation with informative uncertainties. CoRR Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso
2021	J	`jnl`	Imitation learning for improved 3D PET/MR attenuation correction. Medical Image Anal. Kerstin Kläser, Thomas Varsavsky, Pawel Markiewicz, Tom Vercauteren, Alexander Hammers, David Atkinson, Kris Thielemans, Brian F. Hutton, Manuel Jorge Cardoso, Sébastien Ourselin
2021	—	`conf`	The Role of MRI Physics in Brain Segmentation CNNs: Achieving Acquisition Invariance and Instructive Uncertainties. SASHIMI@MICCAI Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, Manuel Jorge Cardoso
2021	J	`jnl`	The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties. CoRR Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso
2020	J	`jnl`	A k-Space Model of Movement Artefacts: Application to Segmentation Augmentation and Artefact Removal. IEEE Trans. Medical Imaging Richard Shaw, Carole H. Sudre, Thomas Varsavsky, Sébastien Ourselin, M. Jorge Cardoso
2020	—	`conf`	Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM). MIDL 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
2020	J	`jnl`	Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM). CoRR 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
2020	—	`conf`	Hierarchical Brain Parcellation with Uncertainty. UNSURE/GRAIL@MICCAI Mark S. Graham, Carole H. Sudre, Thomas Varsavsky, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, Manuel Jorge Cardoso
2020	J	`jnl`	Hierarchical brain parcellation with uncertainty. CoRR Mark S. Graham, Carole H. Sudre, Thomas Varsavsky, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2020	J	`jnl`	Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE. CoRR Petru-Daniel Tudosiu, Thomas Varsavsky, Richard Shaw, Mark S. Graham, Parashkev Nachev, Sébastien Ourselin, Carole H. Sudre, M. Jorge Cardoso
2020	—	`conf`	Test-Time Unsupervised Domain Adaptation. MICCAI (1) Thomas Varsavsky, Mauricio Orbes-Arteaga, Carole H. Sudre, Mark S. Graham, Parashkev Nachev, M. Jorge Cardoso
2020	J	`jnl`	Test-time Unsupervised Domain Adaptation. CoRR Thomas Varsavsky, Mauricio Orbes-Arteaga, Carole H. Sudre, Mark S. Graham, Parashkev Nachev, M. Jorge Cardoso
2019	—	`conf`	3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects. MIDL 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
2019	—	`conf`	As Easy as 1, 2...4? Uncertainty in Counting Tasks for Medical Imaging. MICCAI (4) Zach Eaton-Rosen, Thomas Varsavsky, Sébastien Ourselin, M. Jorge Cardoso
2019	J	`jnl`	As easy as 1, 2... 4? Uncertainty in counting tasks for medical imaging. CoRR Zach Eaton-Rosen, Thomas Varsavsky, Sébastien Ourselin, M. Jorge Cardoso
2019	—	`conf`	Bayesian Volumetric Autoregressive Generative Models for Better Semisupervised Learning. MICCAI (4) Guilherme Pombo, Robert J. Gray, Thomas Varsavsky, John Ashburner, Parashkev Nachev
2019	J	`jnl`	Bayesian Volumetric Autoregressive generative models for better semisupervised learning. CoRR Guilherme Pombo, Robert J. Gray, Thomas Varsavsky, John Ashburner, Parashkev Nachev
2019	—	`conf`	Improved MR to CT Synthesis for PET/MR Attenuation Correction Using Imitation Learning. SASHIMI@MICCAI Kerstin Kläser, Thomas Varsavsky, Pawel Markiewicz, Tom Vercauteren, David Atkinson, Kris Thielemans, Brian F. Hutton, M. Jorge Cardoso, Sébastien Ourselin
2019	J	`jnl`	Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning. CoRR Kerstin Kläser, Thomas Varsavsky, Pawel Markiewicz, Tom Vercauteren, David Atkinson, Kris Thielemans, Brian F. Hutton, M. Jorge Cardoso, Sébastien Ourselin
2019	—	`conf`	Let's Agree to Disagree: Learning Highly Debatable Multirater Labelling. MICCAI (4) Carole H. Sudre, Beatriz Gomez Anson, Silvia Ingala, Chris D. Lane, Daniel Jimenez, Lukas Haider, Thomas Varsavsky, Ryutaro Tanno, Lorna Smith, Sébastien Ourselin, Hans Rolf Jäger, M. Jorge Cardoso
2019	J	`jnl`	Let's agree to disagree: learning highly debatable multirater labelling. CoRR Carole H. Sudre, Beatriz Gomez Anson, Silvia Ingala, Chris D. Lane, Daniel Jimenez, Lukas Haider, Thomas Varsavsky, Ryutaro Tanno, Lorna Smith, Sébastien Ourselin, Hans Rolf Jäger, M. Jorge Cardoso
2019	J	`jnl`	Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning. CoRR Mauricio Orbes-Arteaga, Thomas Varsavsky, Carole H. Sudre, Zach Eaton-Rosen, Lewis J. Haddow, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, Parashkev Nachev, Manuel Jorge Cardoso
2019	—	`conf`	Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning. DART/MIL3ID@MICCAI Mauricio Orbes-Arteaga, Thomas Varsavsky, Carole H. Sudre, Zach Eaton-Rosen, Lewis J. Haddow, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, Parashkev Nachev, M. Jorge Cardoso
2019	—	`conf`	Physics-Informed Brain MRI Segmentation. SASHIMI@MICCAI Pedro Borges, Carole H. Sudre, Thomas Varsavsky, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso
2018	J	`jnl`	3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects. CoRR Carole H. Sudre, Beatriz Gomez Anson, Silvia Ingala, Chris D. Lane, Daniel Jimenez, Lukas Haider, Thomas Varsavsky, Lorna Smith, Hans Rolf Jäger, M. Jorge Cardoso
2018	J	`jnl`	PIMMS: Permutation Invariant Multi-Modal Segmentation. CoRR Thomas Varsavsky, Zach Eaton-Rosen, Carole H. Sudre, Parashkev Nachev, M. Jorge Cardoso
2018	—	`conf`	PIMMS: Permutation Invariant Multi-modal Segmentation. DLMIA/ML-CDS@MICCAI Thomas Varsavsky, Zach Eaton-Rosen, Carole H. Sudre, Parashkev Nachev, M. Jorge Cardoso