Publications for Cooperation with VisLab
- Uli Niemann, Atrayee Neog, Benjamin Behrendt, Kai Lawonn, Matthias Gutberlet, Myra Spiliopoulou, Bernhard Preim, and Monique Meuschke.
Classification of cardiac cohorts based on morphological and hemodynamic features derived from 4D PC-MRI data. Proc. of Computer-Based Medical Systems (CBMS), 416-421, 2022. URL
- S. Alemzadeh, U. Niemann, T. Ittermann, H. Völzke, D. Schneider, M. Spiliopoulou, K. Bühler, and B. Preim.
Visual Analysis of Missing Values in Longitudinal Cohort Study Data. Computer Graphics Forum, (39)1:63-75, 2020. URL
- Lena Spitz, Uli Niemann, Oliver Beuing, Belal Neyazi, I. Erol Sandalcioglu, Bernhard Preim, and Sylvia Saalfeld.
Combining visual analytics and case-based reasoning for rupture risk assessment of intracranial aneurysms. International Journal of Computer Assisted Radiology and Surgery, (15)9:1525--1535, 2020. URL
- Bernhard Preim, Shiva Alemzadeh, Till Ittermann, Paul Klemm, Uli Niemann, and Myra Spiliopoulou.
Visual Analytics for Epidemiological Cohort Studies. Proc. of Eurographics Medical Price, 2019. URL
- Uli Niemann, Philipp Berg, Annika Niemann, Oliver Beuing, Bernhard Preim, Myra Spiliopoulou, and Sylvia Saalfeld.
Rupture Status Classification of Intracranial Aneurysms Using Morphological Parameters. Proc. of the 31th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS18), 48-53, 2018.
- Shiva Alemzadeh, Tommy Hielscher, Uli Niemann, Lena Cibulski, Till Ittermann, Henry Völzke, Myra Spiliopoulou, and Bernhard Preim.
Subpopulation Discovery and Validation in Epidemiological Data. In
Michael Sedlmair, and Christian Tominski (Eds.),
EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association, 2017.
- Shiva Alemzadeh, Uli Niemann, Till Ittermann, Henry Völzke, Daniel Schneider, Myra Spiliopoulou, and Bernhard Preim.
Visual Analytics of Missing Data in Epidemiological Cohort Studies. Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM), 43-52, 2017.
- Sylvia Glaßer, Uli Niemann, Uta Preim, Bernhard Preim, and Myra Spiliopoulou.
Classification of Benign and Malignant DCE-MRI Breast Tumors by Analyzing the Most Suspect Region. In
Hans-Peter Meinzer, Thomas Martin Deserno, Heinz Handels, and Thomas Tolxdorff (Eds.),
Bildverarbeitung für die Medizin 2013, 45-50, Springer Berlin Heidelberg, 2013. URL
- S. Glaßer, U. Niemann, B. Preim, and M. Spiliopoulou.
Can we distinguish between benign and malignant breast tumors in DCE-MRI by studying a tumor's most suspect region only?. Computer-Based Medical Systems (CBMS), 2013 IEEE 26th International Symposium on, 77-82, June 2013. URL
