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Ingo Röder
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2020 – today
- 2023
- [c7]Nora Martens, Moritz Herzog
, Johannes Herold
Clinicum Digitale: Interim Report of an Interprofessional Course to Shape Digital Health Pioneers. GECon 2023: 1-6 - 2021
- [j10]Johannes Waschke
linus: Conveniently explore, share, and present large-scale biological trajectory data in a web browser. PLoS Comput. Biol. 17(11) (2021) - [i3]Elena Williams, Sebastian Niehaus, Janis Reinelt, Alberto Merola, Paul Glad Mihai, Ingo Roeder, Nico Scherf, Maria del C. Valdés Hernández:
Quality control for more reliable integration of deep learning-based image segmentation into medical workflows. CoRR abs/2112.03277 (2021) - 2020
- [j9]Katja Hoffmann
Integration of mathematical model predictions into routine workflows to support clinical decision making in haematology. BMC Medical Informatics Decis. Mak. 20(1): 28 (2020) - [i2]Sarah Schmell, Falk Zakrzewski, Walter de Back, Martin Weigert, Uwe Schmidt, Torsten Wenke, Silke Zeugner, Robert Mantey, Christian Sperling, Ingo Roeder, Pia Hoenscheid, Daniela Aust, Gustavo Baretton:
An interpretable automated detection system for FISH-based HER2 oncogene amplification testing in histo-pathological routine images of breast and gastric cancer diagnostics. CoRR abs/2005.12066 (2020) - [i1]Nastassya Horlava
A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy data. CoRR abs/2011.08076 (2020)
2010 – 2019
- 2018
- [j8]Hans H. Diebner
Metabolism is the tie: The Bertalanffy-type cancer growth model as common denominator of various modelling approaches. Biosyst. 167: 1-23 (2018) - [j7]Matthias Kuhn
Finding small somatic structural variants in exome sequencing data: a machine learning approach. Comput. Stat. 33(3): 1145-1158 (2018) - 2017
- [j6]Christoph Baldow, Sebastian Salentin
MAGPIE: Simplifying access and execution of computational models in the life sciences. PLoS Comput. Biol. 13(12) (2017) - 2016
- [c6]Konstantin Thierbach, Gopi Shah, Ingmar Glauche
Biology-inspired visualization of morphogenetic motion in the zebrafish endoderm. ISBI 2016: 925-929 - 2015
- [j5]Theresa Niederberger, Henrik Failmezger, Diana Uskat, Don Poron, Ingmar Glauche, Nico Scherf
Factor graph analysis of live cell-imaging data reveals mechanisms of cell fate decisions. Bioinform. 31(11): 1816-1823 (2015) - 2014
- [c5]Tim Becker, W. Kanje, Daniel H. Rapoport, Konstantin Thierbach, Nico Scherf, Ingo Roeder, Amir Madany Mamlouk:
The benchmark data SET CeTReS.B-MI for in vitro mitosis detection. ISBI 2014: 469-472 - 2013
- [j4]Axel Krinner, Ingo Roeder, Markus Loeffler, Markus Scholz:
Merging concepts - coupling an agent-based model of hematopoietic stem cells with an ODE model of granulopoiesis. BMC Syst. Biol. 7: 117 (2013) - [c4]Nico Scherf
Assisting the Machine Paradigms for Human-Machine Interaction in Single Cell Tracking. Bildverarbeitung für die Medizin 2013: 116-121 - [c3]Nico Scherf
Beyond genealogies: Mutual information of causal paths to analyse single cell tracking data. ISBI 2013: 440-443 - 2012
- [j3]Nico Scherf
Imaging, quantification and visualization of spatio-temporal patterning in mESC colonies under different culture conditions. Bioinform. 28(18): 556-561 (2012) - [c2]Nico Scherf
FluidTracks - Combining Nonlinear Image Registration and Active Contours for Cell Tracking. Bildverarbeitung für die Medizin 2012: 57-62
2000 – 2009
- 2009
- [j2]Ingmar Glauche
Stem Cell Proliferation and Quiescence - Two Sides of the Same Coin. PLoS Comput. Biol. 5(7) (2009) - [c1]Nico Scherf
Spatio-temporal Analysis of Unstained Cells In-vitro. Bildverarbeitung für die Medizin 2009: 292-296 - [p1]Paul Howells, Mark d'Inverno, Rob Saunders, Ingo Roeder, Sara Montagna:
Agent-Based Modeling of Stem Cells. Multi-Agent Systems 2009: 389-418 - 2005
- [j1]Kenneth A. Krohn, Markus Eszlinger
Increased power of microarray analysis by use of an algorithm based on a multivariate procedure. Bioinform. 21(17): 3530-3534 (2005)
Coauthor Index
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