10 citations · 25 across the 4 of their papers we have counts for
7 papers
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 Comparison of Two Human Brain Tumor Segmentation Methods for MRI Data
Jan Egger, Dženan Zukić, Miriam H. A. Bauer +5
The most common primary brain tumors are gliomas, evolving from the cerebral supportive cells. For clinical follow-up, the evaluation of the preoperative tumor volume is essential.…
Pituitary Adenoma Segmentation
Jan Egger, Miriam H. A. Bauer, Daniela Kuhnt +2
Sellar tumors are approximately 10-15% among all intracranial neoplasms. The most common sellar lesion is the pituitary adenoma. Manual segmentation is a time-consuming process tha…
A Flexible Semi-Automatic Approach for Glioblastoma multiforme Segmentation
Jan Egger, Miriam H. A. Bauer, Daniela Kuhnt +4
Gliomas are the most common primary brain tumors, evolving from the cerebral supportive cells. For clinical follow-up, the evaluation of the preoperative tumor volume is essential.…
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…
Evaluation of a Novel Approach for Automatic Volume Determination of Glioblastomas Based on Several Manual Expert Segmentations
Jan Egger, Miriam H. A. Bauer, Daniela Kuhnt +4
The glioblastoma multiforme is the most common malignant primary brain tumor and is one of the highest malignant human neoplasms. During the course of disease, the evaluation of tu…