most citedPropagation and Attribution of Uncertainty in Medical Imaging Pipelines

3 citations · 5 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024

Data-Driven Tissue- and Subject-Specific Elastic Regularization for Medical Image Registration

Anna Reithmeir, Lina Felsner, Rickmer Braren +2

Physics-inspired regularization is desired for intra-patient image registration since it can effectively capture the biomechanical characteristics of anatomical structures. However…

eess.IV20241 cited

Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution

Maximilian Fischer, Peter Neher, Tassilo Wald +9

Processing histopathological Whole Slide Images (WSI) leads to massive storage requirements for clinics worldwide. Even after lossy image compression during image acquisition, addi…

eess.IV2024

Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representation

Veronika Spieker, Hannah Eichhorn, Jonathan K. Stelter +8

Neural implicit k-space representations have shown promising results for dynamic MRI at high temporal resolutions. Yet, their exclusive training in k-space limits the application o…

cs.CV20233 cited

Propagation and Attribution of Uncertainty in Medical Imaging Pipelines

Leonhard F. Feiner, Martin J. Menten, Kerstin Hammernik +5

Uncertainty estimation, which provides a means of building explainable neural networks for medical imaging applications, have mostly been studied for single deep learning models th…

cs.CV20231 cited

3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images

Alina F. Dima, Veronika A. Zimmer, Martin J. Menten +8

Automated segmentation of the blood vessels in 3D volumes is an essential step for the quantitative diagnosis and treatment of many vascular diseases. 3D vessel segmentation is bei…

eess.IV2023

ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space

Veronika Spieker, Wenqi Huang, Hannah Eichhorn +7

Motion-resolved reconstruction for abdominal magnetic resonance imaging (MRI) remains a challenge due to the trade-off between residual motion blurring caused by discretized motion…