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Christian Ritter

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2020 – today

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2024
[j7]
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Christian Ritter, Ji Young Lee, M.-T. Pham, Maruthi Kumar Pabba, M. Cristina Cardoso, Ralf Bartenschlager, Karl Rohr:
Multi-detector fusion and Bayesian smoothing for tracking viral and chromatin structures. Medical Image Anal. 97: 103227 (2024)
2023
[j6]
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Christian Ritter, Roman Thielemann, Ji Young Lee, Minh Tu Pham, Ralf Bartenschlager, Karl Rohr:
Multi-Channel Colocalization Analysis and Visualization of Viral Proteins in Fluorescence Microscopy Images. IEEE Access 11: 49772-49784 (2023)
[j5]
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Christian Ritter, Anna Maria Oberländer, Bastian Stahl, Björn Häckel, Carsten Klees, Ralf Koeppe, Maximilian Röglinger:
How WashTec Explored Digital Business Models. MIS Q. Executive 22(3): 3 (2023)
[c15]
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Christian Ritter, Miriam Sennel, Nicolas Berberich, Karahan Yilmazer, Natalia Paredes-Acuña, Gordon Cheng:
Grip Force Dynamics During Exoskeleton-Assisted and Virtual Grasping. ICORR 2023: 1-6
2022
[b1]
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Christian Ritter:
Data Fusion and Bayesian Smoothing for Tracking in Fluorescence Microscopy Images. Heidelberg University, Germany, 2022
[j4]
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Björn Häckel, Philip Karnebogen, Christian Ritter:
AI-based industrial full-service offerings: A model for payment structure selection considering predictive power. Decis. Support Syst. 152: 113653 (2022)
2021
[j3]
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Christian Ritter, Thomas Wollmann, Ji Young Lee, Andrea Imle, Barbara Müller, Oliver T. Fackler, Ralf Bartenschlager, Karl Rohr:
Data fusion and smoothing for probabilistic tracking of viral structures in fluorescence microscopy images. Medical Image Anal. 73: 102168 (2021)
[c14]
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  - conf/isbi/SchachererRR21
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Daniela Schacherer, Christian Ritter, Karl Rohr:
Multiple Hypothesis Tracking With Integrated Cell Division Detection. ISBI 2021: 165-168
[c13]
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Christian Ritter, Roman Spilger, Ji Young Lee, Ralf Bartenschlager, Karl Rohr:
Deep Learning For Particle Detection And Tracking In Fluorescence Microscopy Images. ISBI 2021: 873-876
[p1]
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Hans Ulrich Buhl, Björn Häckel, Christian Ritter:
A Concept for an IT-Supported Integrated Earnings and Risk Management to Strengthen the Resilience of Companies in Times of Crisis. Engineering the Transformation of the Enterprise 2021: 257-276
2020
[c12]
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Christian Ritter, A. Newrly, Sandra Schifferdecker, I. Roggenbach, Barbara Müller, Karl Rohr:
Optimizing Particle Detection by Colocalization Analysis in Multi-Channel Fluorescence Microscopy Images. ISBI 2020: 882-885
[c11]
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Christian Ritter, Thomas Wollmann, Ji Young Lee, Ralf Bartenschlager, Karl Rohr:
Deep Learning Particle Detection for Probabilistic Tracking in Fluorescence Microscopy Images. ISBI 2020: 977-980

2010 – 2019

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2019
[j2]
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Christian Ritter, Thomas Wollmann, Patrick Bernhard, Manuel Gunkel, Delia M. Braun, Ji Young Lee, Jan Meiners, Ronald Simon, Guido Sauter, Holger Erfle, Karsten Rippe, Ralf Bartenschlager, Karl Rohr:
Hyperparameter optimization for image analysis: application to prostate tissue images and live cell data of virus-infected cells. Int. J. Comput. Assist. Radiol. Surg. 14(11): 1847-1857 (2019)
[c10]
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Christian Ritter, Shashank Sharma:
Hand-Guidance of a Mobile Manipulator Using Online Effective Mass Optimization. ICAR 2019: 192-197
[c9]
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Michael Lutter, Christian Ritter, Jan Peters:
Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning. ICLR (Poster) 2019
[c8]
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Thomas Wollmann, Christian Ritter, Jan-Niklas Dohrke, Ji Young Lee, Ralf Bartenschlager, Karl Rohr:
Detnet: Deep Neural Network For Particle Detection In Fluorescence Microscopy Images. ISBI 2019: 517-520
[c7]
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  - conf/vissym/BernardHRLSZ19
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Jürgen Bernard, Marco Hutter, Christian Ritter, Markus Lehmann, Michael Sedlmair, Matthias Zeppelzauer:
Visual Analysis of Degree-of-Interest Functions to Support Selection Strategies for Instance Labeling. EuroVA@EuroVis 2019: 1-5
[i2]
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  - journals/corr/abs-1907-04490
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Michael Lutter, Christian Ritter, Jan Peters:
Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning. CoRR abs/1907.04490 (2019)
2018
[c6]
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Christian Ritter, Andrea Imle, Ji Young Lee, Barbara Müller, Oliver T. Fackler, Ralf Bartenschlager, Karl Rohr:
Two-filter probabilistic data association for tracking of virus particles in fluorescence microscopy images. ISBI 2018: 957-960
[c5]
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Christian Ritter, Christian Altenhofen, Matthias Zeppelzauer, Arjan Kuijper, Tobias Schreck, Jürgen Bernard:
Personalized Visual-Interactive Music Classification. EuroVA@EuroVis 2018: 31-35
2017
[j1]
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Benjamin Wehner, Christian Ritter, Susanne Leist:
Enterprise social networks: A literature review and research agenda. Comput. Networks 114: 125-142 (2017)
[c4]
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Jürgen Bernard, Christian Ritter, David Sessler, Matthias Zeppelzauer, Jörn Kohlhammer, Dieter W. Fellner:
Visual-Interactive Similarity Search for Complex Objects by Example of Soccer Player Analysis. VISIGRAPP (3: IVAPP) 2017: 75-87
[c3]
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Benjamin Wehner, Thomas Falk, Susanne Leist, Christian Ritter:
Measuring National Culture by Analyzing Business Processes: A Case Study in Germany and India. Wirtschaftsinformatik 2017
[i1]
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Jürgen Bernard, Christian Ritter, David Sessler, Matthias Zeppelzauer, Jörn Kohlhammer, Dieter W. Fellner:
Visual-Interactive Similarity Search for Complex Objects by Example of Soccer Player Analysis. CoRR abs/1703.03385 (2017)
2015
[c2]
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  - conf/wecwis/RitterLB15
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Christian Ritter, Susanne Leist, Josef Blasini:
Using Functional Requirements to Evaluate Process Performance Management Tools. CBI (1) 2015: 151-158
2011
[c1]
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  - conf/ecis/BlasiniLR11
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Josef Blasini, Susanne Leist, Christian Ritter:
Successful application of PPM - an analysis of the German-speaking banking industry. ECIS 2011: 1

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