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2020 – today
- 2026
[j3]Leo Misera, Sven Nebelung, Zunamys I. Carrero, Keno K. Bressem, Marta Ligero, Jens-Peter Kühn, Ralf-Thorsten Hoffmann, Daniel Truhn, Jakob Nikolas Kather:
Reducing manual workload in CT and MRI annotation with the Segment Anything Model 2. BMC Medical Imaging 26(1): 54 (2026)- 2020
- [c8]Micha Pfeiffer, Carina Riediger, Stefan Leger, Jens-Peter Kühn
, Danilo Seppelt, Ralf-Thorsten Hoffmann, Jürgen Weitz, Stefanie Speidel:
Non-Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model. MICCAI (4) 2020: 724-734 - [i1]Micha Pfeiffer, Carina Riediger, Stefan Leger, Jens-Peter Kühn, Danilo Seppelt, Ralf-Thorsten Hoffmann, Jürgen Weitz, Stefanie Speidel:
Non-Rigid Volume to Surface Registration using a Data-Driven Biomechanical Model. CoRR abs/2005.14695 (2020)
2010 – 2019
- 2018
- [c7]Paras Multani, Uli Niemann, Mario A. Cypko, Jens-Peter Kuehn, Henry Völzke, Steffen Oeltze-Jafra, Myra Spiliopoulou:
Building a Bayesian Network to Understand the Interplay of Variables in an Epidemiological Population-Based Study. CBMS 2018: 88-93 - 2016
- [c6]Tommy Hielscher, Myra Spiliopoulou, Henry Völzke, Jens-Peter Kühn:
Identifying Relevant Features for a Multi-factorial Disorder with Constraint-Based Subspace Clustering. CBMS 2016: 207-212 - 2015
- [c5]Uli Niemann, Tommy Hielscher, Myra Spiliopoulou, Henry Völzke, Jens-Peter Kühn:
Can We Classify the Participants of a Longitudinal Epidemiological Study from Their Previous Evolution? CBMS 2015: 121-126 - 2014
- [j2]Uli Niemann, Henry Völzke, Jens-Peter Kühn, Myra Spiliopoulou:
Learning and inspecting classification rules from longitudinal epidemiological data to identify predictive features on hepatic steatosis. Expert Syst. Appl. 41(11): 5405-5415 (2014) - [c4]Tommy Hielscher, Myra Spiliopoulou, Henry Völzke, Jens-Peter Kühn:
Using Participant Similarity for the Classification of Epidemiological Data on Hepatic Steatosis. CBMS 2014: 1-7 - [c3]Tommy Hielscher, Myra Spiliopoulou, Henry Völzke, Jens-Peter Kühn:
Mining Longitudinal Epidemiological Data to Understand a Reversible Disorder. IDA 2014: 120-130 - [c2]Uli Niemann, Myra Spiliopoulou, Henry Völzke, Jens-Peter Kühn:
Interactive Medical Miner: Interactively Exploring Subpopulations in Epidemiological Datasets. ECML/PKDD (3) 2014: 460-463 - 2012
- [j1]Tetyana Ivanovska, Katrin Hegenscheid, René Laqua, Jens-Peter Kühn, Sven Gläser, Ralf Ewert, Norbert Hosten, Ralf Puls, Henry Völzke:
A fast and accurate automatic lung segmentation and volumetry method for MR data used in epidemiological studies. Comput. Medical Imaging Graph. 36(4): 281-293 (2012) - 2011
- [c1]Oliver Gloger, Klaus D. Tönnies, Jens-Peter Kuehn:
Fully Automatic Liver Volumetry Using 3D Level Set Segmentation for Differentiated Liver Tissue Types in Multiple Contrast MR Datasets. SCIA 2011: 512-523
Coauthor Index
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