60 citations · 124 across the 7 of their papers we have counts for
7 papers
MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
Jianning Li, Zongwei Zhou, Jiancheng Yang +154
Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from co…
Preoperative Volume Determination for Pituitary Adenoma
Dzenan Zukic, Jan Egger, Miriam H. A. Bauer +5
The most common sellar lesion is the pituitary adenoma, and sellar tumors are approximately 10-15% of all intracranial neoplasms. Manual slice-by-slice segmentation takes quite som…
Square-Cut: A Segmentation Algorithm on the Basis of a Rectangle Shape
Jan Egger, Tina Kapur, Thomas Dukatz +4
We present a rectangle-based segmentation algorithm that sets up a graph and performs a graph cut to separate an object from the background. However, graph-based algorithms distrib…
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.…
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.…
A Neural Network Classifier of Volume Datasets
Dženan Zukić, Christof Rezk-Salama, Andreas Kolb
Many state-of-the art visualization techniques must be tailored to the specific type of dataset, its modality (CT, MRI, etc.), the recorded object or anatomical region (head, spine…