Jens-Peter Kühn

Orcid: 0000-0003-3258-930X

According to our database1, Jens-Peter Kühn authored at least 11 papers between 2011 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Reducing manual workload in CT and MRI annotation with the Segment Anything Model 2.
BMC Medical Imaging, December, 2026

2020
Non-Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model.
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.
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.
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?
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.
Expert Syst. Appl., 2014

Interactive Medical Miner: Interactively Exploring Subpopulations in Epidemiological Datasets.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Mining Longitudinal Epidemiological Data to Understand a Reversible Disorder.
Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

Using Participant Similarity for the Classification of Epidemiological Data on Hepatic Steatosis.
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.
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.
Proceedings of the Image Analysis - 17th Scandinavian Conference, 2011


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