62 citations · 82 across the 4 of their papers we have counts for
4 papers
Distributed learning optimisation of Cox models can leak patient data: Risks and solutions
Carsten Brink, Christian Rønn Hansen, Matthew Field +5
Medical data are often highly sensitive, and frequently there are missing data. Due to the data's sensitive nature, there is an interest in creating modelling methods where the dat…
Predicting 4D Liver MRI for MR-guided Interventions
Gino Gulamhussene, Anneke Meyer, Marko Rak +4
Organ motion poses an unresolved challenge in image-guided interventions. In the pursuit of solving this problem, the research field of time-resolved volumetric magnetic resonance…
2.5D Thermometry Maps for MRI-guided Tumor Ablation
Julian Alpers, Daniel L. Reimert, Maximilian Rötzer +5
Fast and reliable monitoring of volumetric heat distribution during MRI-guided tumor ablation is an urgent clinical need. In this work, we introduce a method for generating 2.5D th…
Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI
Anneke Meyer, Grzegorz Chlebus, Marko Rak +8
Background and Objective: Accurate and reliable segmentation of the prostate gland in MR images can support the clinical assessment of prostate cancer, as well as the planning and…