| 2008 |
|---|
| 34 | EE | Felix Bollenbeck,
Udo Seiffert:
Fast registration-based automatic segmentation of serial section images for high-resolution 3-D plant seed modeling.
ISBI 2008: 352-355 |
| 33 | | Rainer Pielot,
Udo Seiffert,
Bertram Manz,
Diana Weier,
Frank Volke,
Winfriede Weschke:
4D Warping for Analysing Morphological Changes in Seed Development of Barley Grains.
VISAPP (1) 2008: 335-340 |
| 2007 |
|---|
| 32 | EE | Barbara Hammer,
Alexander Hasenfuss,
Frank-Michael Schleif,
Thomas Villmann,
Marc Strickert,
Udo Seiffert:
Intuitive Clustering of Biological Data.
IJCNN 2007: 1877-1882 |
| 31 | EE | Marc Strickert,
Udo Seiffert:
Correlation-based Data Representation.
Similarity-based Clustering and its Application to Medicine and Biology 2007 |
| 2006 |
|---|
| 30 | EE | Marc Strickert,
Nese Sreenivasulu,
Silke Peterek,
Winfriede Weschke,
Hans-Peter Mock,
Udo Seiffert:
Unsupervised Feature Selection for Biomarker Identification in Chromatography and Gene Expression Data.
ANNPR 2006: 274-285 |
| 29 | EE | Thomas Villmann,
Udo Seiffert,
Frank-Michael Schleif,
Cornelia Brüß,
Tina Geweniger,
Barbara Hammer:
Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes.
ANNPR 2006: 46-56 |
| 28 | EE | Cornelia Brüß,
Marc Strickert,
Udo Seiffert:
Towards Automatic Segmentation of Serial High-Resolution Images.
Bildverarbeitung für die Medizin 2006: 126-130 |
| 27 | EE | Thomas Villmann,
Barbara Hammer,
Udo Seiffert:
Perspectives of Self-adapted Self-organizing Clustering in Organic Computing.
BioADIT 2006: 141-159 |
| 26 | EE | Marc Strickert,
Nese Sreenivasulu,
Udo Seiffert:
Sanger-driven MDSLocalize - a comparative study for genomic data.
ESANN 2006: 265-270 |
| 25 | EE | Udo Seiffert,
Barbara Hammer,
Samuel Kaski,
Thomas Villmann:
Neural networks and machine learning in bioinformatics - theory and applications.
ESANN 2006: 521-532 |
| 24 | EE | Cornelia Brüß,
Felix Bollenbeck,
Frank-Michael Schleif,
Winfriede Weschke,
Thomas Villmann,
Udo Seiffert:
Fuzzy image segmentation with Fuzzy Labelled Neural Gas.
ESANN 2006: 563-568 |
| 23 | EE | Marc Strickert,
Udo Seiffert,
Nese Sreenivasulu,
Winfriede Weschke,
Thomas Villmann,
Barbara Hammer:
Generalized relevance LVQ (GRLVQ) with correlation measures for gene expression analysis.
Neurocomputing 69(7-9): 651-659 (2006) |
| 2005 |
|---|
| 22 | | Udo Seiffert:
Adaptive Implementation of Artificial Neural Networks Reflecting Changing Hardware Resources at Run-Time.
Artificial Intelligence and Applications 2005: 733-737 |
| 21 | EE | Marc Strickert,
Nese Sreenivasulu,
Winfriede Weschke,
Udo Seiffert,
Thomas Villmann:
Generalized Relevance LVQ with Correlation Measures for Biological Data.
ESANN 2005: 331-338 |
| 20 | EE | Marc Strickert,
Stefan Teichmann,
Nese Sreenivasulu,
Udo Seiffert:
High-Throughput Multi-dimensional Scaling (HiT-MDS) for cDNA-Array Expression Data.
ICANN (1) 2005: 625-633 |
| 19 | EE | Ralf Tautenhahn,
Alexander Ihlow,
Udo Seiffert:
Adaptive Feature Selection for Classification of Microscope Images.
WILF 2005: 215-222 |
| 2004 |
|---|
| 18 | EE | Udo Seiffert:
Biologically Inspired Image Compression in Biomedical High-Throughput Screening.
BioADIT 2004: 428-439 |
| 17 | EE | Alexander Ihlow,
Udo Seiffert:
Automating Microscope Colour Image Analysis Using the Expectation Maximisation Algorithm.
DAGM-Symposium 2004: 536-543 |
| 16 | EE | Thomas Villmann,
Udo Seiffert,
Axel Wismüller:
Theory and applications of neural maps.
ESANN 2004: 25-38 |
| 15 | EE | R. Rebmann,
Bernd Michaelis,
Gerald Krell,
Udo Seiffert,
F. Püschel:
Improving Image Processing Systems by Artificial Neural Networks.
Reading and Learning 2004: 37-64 |
| 14 | | Alexander Ihlow,
Udo Seiffert:
Haustoria Segmentation in Microscope Colour Images of Barley Cells.
Workshop Farbbildverarbeitung 2004: 119-126 |
| 13 | EE | Udo Seiffert:
Artificial neural networks on massively parallel computer hardware.
Neurocomputing 57: 135-150 (2004) |
| 2003 |
|---|
| 12 | EE | Gerald Krell,
R. Rebmann,
Udo Seiffert,
Bernd Michaelis:
Improving Still Image Coding by an SOM-Controlled Associative Memory.
CIARP 2003: 571-579 |
| 11 | EE | R. Rebmann,
Gerald Krell,
Udo Seiffert,
Bernd Michaelis:
Associative Correction Of Compression Artefacts With A Self-Organizing Map Classifying The Image Content.
DCC 2003: 446 |
| 10 | EE | Axel Wismüller,
Udo Seiffert:
Digital Image Processing with Neural Networks.
ESANN 2003: 493-502 |
| 2002 |
|---|
| 9 | | Udo Seiffert:
Artificial Neural Networks on Massively Parallel Computer Hardware.
ESANN 2002: 319-330 |
| 2001 |
|---|
| 8 | EE | Udo Seiffert:
Multiple Layer Perceptron training using genetic algorithms.
ESANN 2001: 159-164 |
| 7 | | Vaijayanti Joshi,
Lakhmi C. Jain,
Udo Seiffert,
Kathleen Zyga,
Richard Price,
Friedrich Leisch:
Neural Techniques in Logo Recognition.
HIS 2001: 25-32 |
| 1999 |
|---|
| 6 | | Udo Seiffert,
Bernd Michaelis:
Indirect Unsuperivised Training of Backpropagation Nets.
SIP 1999: 328-332 |
| 1997 |
|---|
| 5 | | Udo Seiffert,
Bernd Michaelis:
Estimating Motion Parameters with Three-Dimensional Self-Organizing Maps.
Inf. Sci. 101(3-4): 187-201 (1997) |
| 4 | EE | Udo Seiffert,
Bernd Michaelis:
Growing 3D-SOMs with 2D-Input Layer as a Classification Tool in a Motion Detection System.
Int. J. Neural Syst. 8(1): 81-89 (1997) |
| 1996 |
|---|
| 3 | EE | Udo Seiffert,
Bernd Michaelis:
Adaptive three-dimensional self-organizing map with a two-dimensional input layer.
ANZIIS 1996: 258-263 |
| 2 | EE | Andreas Herzog,
G. Sommerkorn,
Udo Seiffert,
Bernd Michaelis,
Katharina Braun,
Werner Zuschratter:
Rekonstruktion und Klassifikation dendritischer Spines aus konfokalen Bilddaten.
Bildverarbeitung für die Medizin 1996 |
| 1995 |
|---|
| 1 | EE | Udo Seiffert,
Bernd Michaelis:
Three-dimensional Self-Organizing Maps for Classification of Image Properties.
ANNES 1995: 310-313 |
