4 citations · 8 across the 5 of their papers we have counts for
6 papers
Comparison of different automatic solutions for resection cavity segmentation in postoperative MRI volumes including longitudinal acquisitions
Luca Canalini, Jan Klein, Nuno Pedrosa de Barros +3
In this work, we compare five deep learning solutions to automatically segment the resection cavity in postoperative MRI. The proposed methods are based on the same 3D U-Net archit…
Registration of ultrasound volumes based on Euclidean distance transform
Luca Canalini, Jan Klein, Dorothea Miller +1
During neurosurgical operations, surgeons can decide to acquire intraoperative data to better proceed with the removal of a tumor. A valid option is given by ultrasound (US) imagin…
A Ray-based Approach for Boundary Estimation of Fiber Bundles Derived from Diffusion Tensor Imaging
Miriam H. A. Bauer, Sebastiano Barbieri, Jan Klein +5
Diffusion Tensor Imaging (DTI) is a non-invasive imaging technique that allows estimation of the location of white matter tracts in-vivo, based on the measurement of water diffusio…
Benchmarking the Quality of Diffusion-Weighted Images
Jan Klein, Sebastiano Barbieri, Miriam H. A. Bauer +2
We present a novel method that allows for measuring the quality of diffusion-weighted MR images dependent on the image resolution and the image noise. For this purpose, we introduc…
Ray-Based and Graph-Based Methods for Fiber Bundle Boundary Estimation
Miriam H. A. Bauer, Jan Egger, Daniela Kuhnt +5
Diffusion Tensor Imaging (DTI) provides the possibility of estimating the location and course of eloquent structures in the human brain. Knowledge about this is of high importance…
A Semi-Automatic Graph-Based Approach for Determining the Boundary of Eloquent Fiber Bundles in the Human Brain
Miriam H. A. Bauer, Jan Egger, Daniela Kuhnt +5
Diffusion Tensor Imaging (DTI) allows estimating the position, orientation and dimension of bundles of nerve pathways. This non-invasive imaging technique takes advantage of the di…