Kerstin Kläser

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 13

Top Topics

Multimodal Information

Subcortical Structures

Magnetic Resonance Images

Top Venues

Medical Image Anal.

Publications

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 (2024)
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 (2021)
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 (2021)
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 (2021)
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)
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 (2020)
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)
Kerstin Kläser, Pedro Borges, Richard Shaw, Marta Ranzini, Marc Modat, David Atkinson, Kris Thielemans, Brian F. Hutton, Vicky Goh, Gary Cook, M. Jorge Cardoso, Sébastien Ourselin
Uncertainty-Aware Multi-resolution Whole-Body MR to CT Synthesis. SASHIMI@MICCAI (2020)
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)
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 (2019)
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)
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)
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 (2018)