most citedA Comparison of Two Human Brain Tumor Segmentation Methods for MRI Data

10 citations · 25 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2011

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…

cs.CV201110 cited

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.…

cs.CV20112 cited

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…

cs.CV20115 cited

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…

cs.GR20118 cited

Glioblastoma Multiforme Segmentation in MRI Data with a Balloon Inflation Approach

Dženan Zukić, Jan Egger, Miriam H. A. Bauer +5

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.…