S. Posch

发表

Accurate prediction of cell type-specific transcription factor binding

J. Keilwagen, S. Posch, Jan Grau, 2019, Genome Biology.

Integration of regions and contours for object recognition

Franz Kummert, Daniel Schlüter, Gerhard Sagerer, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

TOWARDS AN IMAGE UNDERSTANDINGARCHITECTURE FOR A SITUATED ARTIFICIALCOMMUNICATOR

H. Ritter, C. Bauckhage, S. Posch, 1999 .

Perceptual Grouping using Markov Random Fields and Cue Integration of Contour and Region Information

Daniel Schlüter, Stefan Posch, S. Posch, 1998 .

viwish: a visualization server for protein modelling and docking.

S. Posch, T. Klein, F. Ackermann, 1996, Gene.

A Hybrid Approach to Signal Interpretation Using Neuronal and Semantic Networks

Helge J. Ritter, Franz Kummert, Gerhard Sagerer, 1993, DAGM-Symposium.

Mixtures of Parsimonious Markov Models

S. Posch, 2012 .

Extraction of protein profiles from primary neurons using active contour models and wavelets

S. Posch, Danny Misiak, M. Lederer, 2014, Journal of Neuroscience Methods.

On the Value of Intra-Motif Dependencies of Human Insulator Protein CTCF

J. Keilwagen, S. Posch, I. Grosse, 2014, PloS one.

Robust features for 2‐DE gel image registration

Stefan Posch, Birgit Möller, S. Posch, 2009, Electrophoresis.

Automatic classification of lymphoma lesions in FDG-PET–Differentiation between tumor and non-tumor uptake

S. Posch, O. Sabri, R. Kluge, 2022, PloS one.

German Conference on Bioinformatics 2009, 28th to 30th September 2009, Martin Luther University Halle-Wittenberg, Germany

Ivo Grosse, Stefan Posch, Peter F. Stadler, 2009, German Conference on Bioinformatics.

Sequence and expression of the chicken membrane-associated phospholipases A1 alpha (LIPH) and beta (LIPI)

S. Posch, E. Willscher, R. Golbik, 2011, Molecular Biology Reports.

Parametric Data Association Prior for Multi-target Tracking based on Rao-Blackwellized Monte Carlo Data Association

Stefan Posch, Oliver Greß, S. Posch, 2012, VISAPP.

Identifying Lens Distortions in Image Registration by Learning from Examples

Stefan Posch, Birgit Möller, S. Posch, 2007, BMVC.

Vision-Based 3D-Reconstruction of Barley Plants

Stefan Posch, Andreas Maurer, Armagan Elibol, 2013, IbPRIA.

Probabilistic approaches to transcription factor binding site prediction.

Jens Keilwagen, Ivo Grosse, Jan Grau, 2010, Methods in molecular biology.

DiffLogo: a comparative visualization of sequence motifs

Jens Keilwagen, Ivo Grosse, Stefan Posch, 2015, BMC Bioinformatics.

A general approach for discriminative de novo motif discovery from high-throughput data

Jens Keilwagen, Ivo Grosse, Stefan Posch, 2013, GCB.

Identification of transcription factor binding sites with variable-order Bayesian networks

Armin Shmilovici, Ivo Grosse, Stefan Posch, 2005, Bioinform..

Baseline Correction of Intraoperative Electromyography using Discrete Wavelet Transform

Stefan Posch, Julian Prell, Henning Thielemann, 2007, Journal of Clinical Monitoring and Computing.

Protein Docking: Combining Symbolic Descriptions of Molecular Surfaces and Grid-Based Scoring Functions

Franz Kummert, Gerhard Sagerer, Stefan Posch, 1995, ISMB.

Computational Predictions Provide Insights into the Biology of TAL Effector Target Sites

Stefan Posch, Jan Grau, Annett Wolf, 2013, PLoS Comput. Biol..

Improving MetFrag with statistical learning of fragment annotations

Stefan Posch, Steffen Neumann, Christoph Ruttkies, 2019, BMC Bioinformatics.

Analysis of Arabidopsis Root Images — Studies on CNNs and Skeleton-Based Root Topology

S. Posch, B. Möller, Berit Schreck, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

A Knowledge Based speech Understanding System

Ute Ehrlich, Gerhard Sagerer, Stefan Posch, 1988, Int. J. Pattern Recognit. Artif. Intell..

On the Pareto Front of Physics-Informed Neural Networks pdf

Bernhard C. Geiger, Stefan Posch, Franz M. Rohrhofer, 2021, ArXiv.

TALENoffer: genome-wide TALEN off-target prediction

Stefan Posch, Jan Grau, Jens Boch, 2013, Bioinform..

rhizoTrak: a flexible open source Fiji plugin for user-friendly manual annotation of time-series images from minirhizotrons

Stefan Posch, Hongmei Chen, Tino Schmidt, 2019, Plant and Soil.

Representing Procedural Knowledge for Semantic Networks using Neural Nets

Gunther Heidemann, Helge Ritter, Gerhard Sagerer, 1995 .

MiToBo - A Toolbox for Image Processing and Analysis

Stefan Posch, Birgit Möller, Markus Glaß, 2016 .

Learning from mistakes: Accurate prediction of cell type-specific transcription factor binding

Stefan Posch, Jan Grau, Jens Keilwagen, 2017, bioRxiv.

A Region Based Seed Detection for Root Detection in Minirhizotron Images

Stefan Posch, Gregor Erz, S. Posch, 2003, DAGM-Symposium.

Ellipsenbasierte 3-D Rekonstruktion

Stefan Posch, Gudrun Socher, Torsten Merz, 1995, DAGM-Symposium.

A hybrid system to detect hand orientation in stereo images

Franz Kummert, Helge Ritter, Gerhard Sagerer, 1994 .

Cell migration analysis: Segmenting scratch assay images with level sets and support vector machines

Stefan Posch, Birgit Möller, Markus Glaß, 2012, Pattern Recognit..

Comparing active contours for the segmentation of biomedical images

Stefan Posch, Birgit Möller, S. Posch, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Scratch Assay Analysis with Topology-Preserving Level Sets and Texture Measures

Stefan Posch, Birgit Möller, Markus Glaß, 2011, IbPRIA.

Cascaded Segmentation of Grained Cell Tissue with Active Contour Models

Stefan Posch, Birgit Möller, Stefan Hüttelmaier, 2010, 2010 20th International Conference on Pattern Recognition.

Adaptive Segmentation of Particles and Cells for Fluorescent Microscope Imaging

Stefan Posch, Birgit Möller, Oliver Greß, 2010, VISIGRAPP.

Automatic analysis of flourescence labeled neurites in microscope images

Stefan Posch, Birgit Möller, Danny Misiak, 2009, 2009 Workshop on Applications of Computer Vision (WACV).

Adaptive Segmentation of Cells and Particles in Fluorescent Microscope Images

Stefan Posch, Birgit Möller, Oliver Greß, 2010, VISAPP.

Scale-adaptive Wavelet-based Particle Detection in Microscopy Images

Stefan Posch, Birgit Möller, Oliver Greß, 2010, Bildverarbeitung für die Medizin.

Perceptual Grouping of Contour Segments Using Markov Random Fields

Daniel Schlüter, Gerhard Sagerer, Stefan Posch, 1997 .

Disk decode stages having at least two

Wolfgang Eber, Stefan Posch, Franz Amtmann, 2000 .

Joint Analysis of In-situ Hybridization and Gene Expression Data

Alexander Schliep, Stefan Posch, Lennart Opitz, 2006, GfKl.

Jstacs: A Java Framework for Statistical Analysis and Classification of Biological Sequences

Jens Keilwagen, Ivo Grosse, Stefan Posch, 2012, J. Mach. Learn. Res..

MiToBo - A Microscope Image Analysis Toolbox: v1.7

Stefan Posch, Danny Misiak, Birgit Moeller, 2015 .

Detecting skewed symmetries

Stefan Posch, S. Posch, 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. III. Conference C: Image, Speech and Signal Analysis,.

Recognition of cis-Regulatory Elements with Vombat

Alexander E. Kel, Ivo Grosse, Stefan Posch, 2007, J. Bioinform. Comput. Biol..

Apples and oranges: avoiding different priors in Bayesian DNA sequence analysis

Jens Keilwagen, Ivo Grosse, Stefan Posch, 2010, BMC Bioinformatics.

Cell migration analysis: Segmenting scratch assay images with level sets and support vector machines

S. Posch, S. Hüttelmaier, B. Möller, 2012, Pattern Recognition.

Optimised coupling of hierarchies in image registration

Stefan Posch, Alf Gerisch, Jörg Wensch, 2008, Image Vis. Comput..

Analysis of Arabidopsis Root Images — Studies on CNNs and Skeleton-Based Root Topology

S. Posch, B. Möller, Berit Schreck, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

Sequence and expression of the chicken membrane-associated phospholipases A1 alpha (LIPH) and beta (LIPI)

S. Posch, E. Willscher, R. Golbik, 2011, Molecular Biology Reports.

De-Novo Discovery of Differentially Abundant Transcription Factor Binding Sites Including Their Positional Preference

Jens Keilwagen, Marc Strickert, Ivo Grosse, 2011, PLoS Comput. Biol..

Design and implementation of the Alida framework to ease the development of image analysis algorithms

S. Posch, B. Möller, 2016, Pattern Recognition and Image Analysis.

A Framework Unifying the Development of Image Analysis Algorithms and Associated User Interfaces

Stefan Posch, Birgit Möller, S. Posch, 2013, MVA.

TALENoffer: genome-wide TALEN off-target prediction

S. Posch, Jan Grau, J. Boch, 2013, Bioinform..

DiffLogo: a comparative visualization of sequence motifs

J. Keilwagen, S. Posch, Jan Grau, 2015, BMC Bioinformatics.

Correction: De-Novo Discovery of Differentially Abundant Transcription Factor Binding Sites Including Their Positional Preference

J. Keilwagen, S. Posch, Jan Grau, 2011, PLoS Computational Biology.

Supervised Posteriors for DNA-motif Classification

Alexander E. Kel, Jens Keilwagen, Ivo Grosse, 2007, German Conference on Bioinformatics.

Dispom: a Discriminative de-novo Motif Discovery Tool Based on the Jstacs Library

Michael Seifert, Jens Keilwagen, Marc Strickert, 2013, J. Bioinform. Comput. Biol..

Supervised Penalized Canonical Correlation Analysis

Stefan Posch, Steffen Neumann, S. Posch, 2014, 1405.1534.