Jens-Peter Kühn

According to our database, Jens-Peter Kühn authored at least 10 papers between 2011 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Non-Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model.

Micha Pfeiffer, Carina Riediger, Stefan Leger, Jens-Peter Kühn, Danilo Seppelt, Ralf-Thorsten Hoffmann, Jürgen Weitz, Stefanie Speidel

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2018

Building a Bayesian Network to Understand the Interplay of Variables in an Epidemiological Population-Based Study.

Paras Multani, Uli Niemann, Mario A. Cypko, Jens-Peter Kuehn, Henry Völzke, Steffen Oeltze-Jafra, Myra Spiliopoulou

Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

2016

Identifying Relevant Features for a Multi-factorial Disorder with Constraint-Based Subspace Clustering.

Tommy Hielscher, Myra Spiliopoulou, Henry Völzke, Jens-Peter Kühn

Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016

2015

Can We Classify the Participants of a Longitudinal Epidemiological Study from Their Previous Evolution?

Uli Niemann, Tommy Hielscher, Myra Spiliopoulou, Henry Völzke, Jens-Peter Kühn

Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015

2014

Learning and inspecting classification rules from longitudinal epidemiological data to identify predictive features on hepatic steatosis.

Uli Niemann, Henry Völzke, Jens-Peter Kühn, Myra Spiliopoulou

Expert Syst. Appl., 2014

Interactive Medical Miner: Interactively Exploring Subpopulations in Epidemiological Datasets.

Uli Niemann, Myra Spiliopoulou, Henry Völzke, Jens-Peter Kühn

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Mining Longitudinal Epidemiological Data to Understand a Reversible Disorder.

Tommy Hielscher, Myra Spiliopoulou, Henry Völzke, Jens-Peter Kühn

Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

Using Participant Similarity for the Classification of Epidemiological Data on Hepatic Steatosis.

Tommy Hielscher, Myra Spiliopoulou, Henry Völzke, Jens-Peter Kühn

Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

2012

A fast and accurate automatic lung segmentation and volumetry method for MR data used in epidemiological studies.

Tetyana Ivanovska, Katrin Hegenscheid, René Laqua, Jens-Peter Kühn, Sven Gläser, Ralf Ewert, Norbert Hosten, Ralf Puls, Henry Völzke

Comput. Medical Imaging Graph., 2012

2011

Fully Automatic Liver Volumetry Using 3D Level Set Segmentation for Differentiated Liver Tissue Types in Multiple Contrast MR Datasets.

Oliver Gloger, Klaus D. Tönnies, Jens-Peter Kuehn

Proceedings of the Image Analysis - 17th Scandinavian Conference, 2011