15 citations · 30 across the 5 of their papers we have counts for
5 papers
A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation Systems
Mario Amrehn, Stefan Steidl, Reinier Kortekaas +4
For complex segmentation tasks, the achievable accuracy of fully automated systems is inherently limited. Specifically, when a precise segmentation result is desired for a small am…
The Random Forest Classifier in WEKA: Discussion and New Developments for Imbalanced Data
Mario Amrehn, Firas Mualla, Elli Angelopoulou +2
Data analysis and machine learning have become an integrative part of the modern scientific methodology, providing automated techniques to predict further information based on obse…
Action Learning for 3D Point Cloud Based Organ Segmentation
Xia Zhong, Mario Amrehn, Nishant Ravikumar +6
We propose a novel point cloud based 3D organ segmentation pipeline utilizing deep Q-learning. In order to preserve shape properties, the learning process is guided using a statist…
Robust Seed Mask Generation for Interactive Image Segmentation
Mario Amrehn, Stefan Steidl, Markus Kowarschik +1
In interactive medical image segmentation, anatomical structures are extracted from reconstructed volumetric images. The first iterations of user interaction traditionally consist…
UI-Net: Interactive Artificial Neural Networks for Iterative Image Segmentation Based on a User Model
Mario Amrehn, Sven Gaube, Mathias Unberath +6
For complex segmentation tasks, fully automatic systems are inherently limited in their achievable accuracy for extracting relevant objects. Especially in cases where only few data…