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Kerstin Kläser 0002
Person information
- affiliation: KCL, School of Biomedical Engineering and Imaging Sciences, UK
- affiliation: University College London, Department of Medical Physics and Biomedical Engineering, UK
- affiliation: King's College, School of Biomedical Engineering and Imaging Sciences, London, UK
Other persons with the same name
- Kerstin Kläser 0001 (aka: Kerstin Klaser 0001) — Graphcore, London, UK
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2020 – today
- 2024
- [j2]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. Medical Image Anal. 92: 103058 (2024) - 2021
- [j1]Kerstin Kläser
, Thomas Varsavsky
, Pawel Markiewicz, Tom Vercauteren
, Alexander Hammers
, David Atkinson
, Kris Thielemans
, Brian F. Hutton, Manuel Jorge Cardoso
, Sébastien Ourselin
:
Imitation learning for improved 3D PET/MR attenuation correction. Medical Image Anal. 71: 102079 (2021) - [c6]Pedro Borges
, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas
, Ivana Drobnjak
, Sébastien Ourselin
, Manuel Jorge Cardoso
:
The Role of MRI Physics in Brain Segmentation CNNs: Achieving Acquisition Invariance and Instructive Uncertainties. SASHIMI@MICCAI 2021: 67-76 - [i5]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) - [i4]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
- [c5]Marta Bianca Maria Ranzini
, Irme Groothuis, Kerstin Kläser, M. Jorge Cardoso
, Johann Henckel, Sébastien Ourselin
, Alister Hart
, Marc Modat
:
Combining Multimodal Information for Metal Artefact Reduction: An Unsupervised Deep Learning Framework. ISBI 2020: 600-604 - [c4]Kerstin Kläser, Pedro Borges, Richard Shaw, Marta Ranzini
, Marc Modat
, David Atkinson
, Kris Thielemans
, Brian F. Hutton, Vicky Goh
, Gary J. Cook
, M. Jorge Cardoso
, Sébastien Ourselin
:
Uncertainty-Aware Multi-resolution Whole-Body MR to CT Synthesis. SASHIMI@MICCAI 2020: 110-119 - [i3]Marta Bianca Maria Ranzini, Irme Groothuis, Kerstin Kläser, M. Jorge Cardoso, Johann Henckel, Sébastien Ourselin, Alister Hart, Marc Modat:
Combining multimodal information for Metal Artefact Reduction: An unsupervised deep learning framework. CoRR abs/2004.09321 (2020)
2010 – 2019
- 2019
- [c3]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. SASHIMI@MICCAI 2019: 13-21 - [i2]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) - 2018
- [c2]Catherine J. Scott
, Jieqing Jiao, M. Jorge Cardoso
, Kerstin Kläser, Andrew Melbourne
, Pawel J. Markiewicz, Jonathan M. Schott
, Brian F. Hutton, Sébastien Ourselin
:
Short Acquisition Time PET/MR Pharmacokinetic Modelling Using CNNs. MICCAI (1) 2018: 48-56 - [c1]Kerstin Kläser, Pawel Markiewicz, Marta Bianca Maria Ranzini
, Wenqi Li
, Marc Modat
, Brian F. Hutton, David Atkinson
, Kris Thielemans
, M. Jorge Cardoso, Sébastien Ourselin
:
Deep Boosted Regression for MR to CT Synthesis. SASHIMI@MICCAI 2018: 61-70 - [i1]Kerstin Kläser, Pawel Markiewicz, Marta Bianca Maria Ranzini, Wenqi Li, Marc Modat, Brian F. Hutton, David Atkinson, Kris Thielemans, M. Jorge Cardoso, Sébastien Ourselin:
Deep Boosted Regression for MR to CT Synthesis. CoRR abs/1808.07431 (2018)
Coauthor Index
aka: M. Jorge Cardoso
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last updated on 2024-08-08 20:15 CEST by the dblp team
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