Bollenbeck F, Kaspar S, Mock H-P, Weier D, Seiffert U:

Three-dimensional multimodality modelling by integration of high-resolution interindividual atlases and functional MALDI-IMS data. In: Rajasekaran S (Ed.): Bioinformatics and computational biology: first international conference, BICoB 2009, New Orleans, LA, USA, April 8-10, 2009; proceedings. (Series: Lecture Notes in Computer Science, Vol. 5462) Berlin [u.a.]: Springer (2009) ISBN 978-3-642-00726-2, 126-138. https://dx.doi.org/10.1007/978-3-642-00727-9_14

Bollenbeck F, Seiffert U:

Fast registration-based automatic segmentation of serial section images for high-resolution 3-D plant seed modeling. IEEE International Symposium on Biomedical Imaging (2008) 352-355.

Dercksen V J, Brüß C, Stalling D, Gubatz S, Seiffert U, Hege H-C:

Towards automatic generation of 3D models of biological objects based on serial sections. In: Linsen L, Hagen H, Hamann B (Eds.): Visualization in medicine and life sciences. (Series: Mathematics and visualization) Berlin [u.a.]: Springer (2008) ISBN 978-3-540-72629-6, 3-25. https://dx.doi.org/10.1007/978-3-540-72630-2_1

Ihlow A, Schweizer P, Seiffert U:

A high-throughput screening system for barley/powdery mildew interactions based on automated analysis of light micrographs. BMC Plant Biol. 8 (2008) 6. https://dx.doi.org/10.1186/1471-2229-8-6

Pielot R, Seiffert U, Manz B, Weier D, Volke F, Weschke W:

4D warping for analysing morphological changes in seed development of barley grains. In: Ranchordas A, Araujo H (Eds.): Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISAPP2008), 22.-25.01.2008, Funchal, Madeira/Portugal, Vol. 1. [Setúbal]: INSTICC Press (2008) ISBN 978-989-8111-21-0, 335-340.

Strickert M, Schleif F-M, Seiffert U:

Gradients of Pearson correlation for analysis of biomedical data In: Proceedings of the 9th Argentine Symposium on Artificial Intelligence (ASAI 2007), 27 - 28 August 2007, Mar del Plata, Argentina: Special Issue of Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, Vol. 12, No. 37. : AEPIA (2008) ISSN 1137-3601, 139-150.

Strickert M, Schleif F-M, Seiffert U, Villmann T:

Derivatives of Pearson correlation for gradient-based analysis of biomedical data. Inteligencia Artificial, Revista Iberoamericana de IA 12 (2008) 37-44.

Brüß C, Seiffert U:

Automatic generation of 3-D and 4-D models. pgrc-16.ipk-gatersleben.de/wgrp/mue/mue_projects3.php (2007).

Jakob S S, Ihlow A, Blattner F R:

Combined ecological niche modelling and molecular phylogeography revealed the evolutionary history of Hordeum marinum (Poaceae) – niche differentiation, loss of genetic diversity, and speciation in Mediterranean Quaternary refugia. Mol. Ecol. 16 (2007) 1713-1727. https://dx.doi.org/10.1111/j.1365-294X.2007.032283.x

Seiffert U, Schweizer P, Ihlow A, Schulze C:

Quantitative assessment of fungal structures on the leaf surface. pgrc-16.ipk-gatersleben.de/wgrp/mue/mue_projects6.php (2007).

Strickert M, Schleif F-M, Seiffert U:

Gradients of Pearson correlation for analysis of biomedical data Proceedings of the Argentine Symposium on Artificial Intelligence (ASAI 2007) (2007) 139-150.

Strickert M, Seiffert U:

Nonlinear gene expression analysis. (2007).

Strickert M, Seiffert U:

Correlation-based data representation In: Biehl M, Hammer B, Verleysen M, Villmann T (Eds.): Similarity-based clustering and its application to medicine and biology. (Series: Dagstuhl Seminar Proceedings, Vol. 07131) Wadern: Leibniz-Zentrum für Informatik (2007) Online-Ressource drops.dagstuhl.de/opus/portals/index.php.

Strickert M, Sreenivasulu N, Usadel B, Seiffert U:

Correlation-maximizing surrogate gene space for visual mining of gene expression patterns in developing barley endosperm tissue. BMC Bioinformatics 8 (2007) 165. https://dx.doi.org/10.1186/1471-2105-8-165

Villmann T, Strickert M, Brüß C, Schleif F-M, Seiffert U:

Visualization of fuzzy information in fuzzy-classification for image segmentation using MDS. In: Verleysen M (Ed.): Advances in computational intelligence and learning: 15th European Symposium on Artificial Neural Networks; ESANN 2007; Bruges, Belgium, April 25 - 27; proceedings Evere: d-side (2007) ISBN 2-930307-07-2, 103-108.

Weschke W, Mock H-P, Pietsch C, Radchuk V, Röder M S, Schreiber F, Seiffert U, Sreenivasulu N, Strickert M, Witzel K, Wobus U:

Genetical Genomics der Gerstenkornentwicklung - von der Genexpression zu landwirtschaftlich bedeutsamen Merkmalen. GenomXPress 1 (2007) 12-16.

Wobus U, Mock H-P, Pietsch C, Radchuk V, Röder M, Schreiber F, Seiffert U, Sreenivasulu N, Strickert M, Weschke W, Witzel K:

GABI-SEED: Genetische Grundlagen komplexer agronomischer Merkmale im Getreidekorn entschlüsseln. GenomXPress Sonderausgabe März (2007) 19.

Bollenbeck F:

Wahrscheinlichkeitsbasierte Segmentierung von Mikroskopbildern. (Diploma Thesis) Halle/S., Martin-Luther-Universität Halle-Wittenberg (2006)

Brüß C, Bollenbeck F, Schleif F-M, Weschke W, Villmann T, Seiffert U:

Fuzzy image segmentation with fuzzy lebelled neural gas. In: Verleysen M (Ed.): Advances in computational intelligence and learning: 14th European Symposium on Artificial Neural Networks, ESANN 2006, Bruges, Belgium, April 26 - 27 - 28, 2006, proceedings. Evere, Belgium: d-side (2006) ISBN 2-930307-06-4, 563-568.

Brüß C, Strickert M, Seiffert U:

Towards automatic segmentation of serial high-resolution images. In: Handels H, Ehrhardt J, Horsch A, Meinzer H-P, Tolxdorff T (Eds.): Bildverarbeitung für die Medizin 2006: Algorithmen, Systeme, Anwendungen, Proceedings des Workshops vom 19.-21. März 2006 in Hamburg. (Series: Informatik aktuell) Berlin [u.a.]: Springer (2006) ISBN 978-3-540-32136-1, 126-130. https://dx.doi.org/10.1007/3-540-32137-3_26

Höffken M:

Adaption von Merkmalen an einen nachgeschalteten Klassifikator in einem System zur Segmentierung von Bilddaten. (Diploma Thesis) Halle/S., Martin-Luther-Universität Halle-Wittenberg (2006)

Ihlow A:

Ein Hochdurchsatz-Screeningsystem zur Objekterkennung in Mikroskop-Farbbildern im Rahmen der Analyse pflanzlicher Pathogenresistenz. (PhD Thesis) Magdeburg, Otto-von-Guericke-Universität (2006) 136 pp.

Ihlow A, Seiffert U:

Adaptive color spaces based on multivariate Gaussian distributions for colour image segmentation. In: Zentrum für Bild- & Signalverarbeitung e.V. (Ed.): 12. Workshop Farbbildverarbeitung. 5.-6. Oktober 2006, Ilmenau. Ilmenau: Zentrum für Bild- und Signalverarbeitung (2006) 86-96.

Schulze C:

Intelligente automatische Bildaufnahmesteuerung zum computergestützten Hochdurchsatz-Screening in einem biologischen System mittels Mikroskop-Farbbildanalyse. (Diploma Thesis) Magdeburg, Otto-von-Guericke-Universität - Fakultät für Informatik, Institut für Technische und Betriebliche Informationssysteme (2006)

Schweizer P, Ihlow A, Seiffert U:

Hochdurchsatz-Phänomanalyse in Getreide: Auf der Jagd nach der Funktion pflanzlicher Gene bei Pathogenbefall. GenomXPress 2 (2006) 16-19.

Seiffert U:

Training of large-scale feed-forward neural networks. In: Yen G C (Ed.): 2006 IEEE World Congress on Computational Intelligence. Final program and book of abstracts. July 16-21, 2006, Vancouver/Canada. Vancouver: IEEE Computational Intelligence Society (2006) ISBN 0-7803-9489-5, 10780-10785. https://dx.doi.org/10.1109/IJCNN.2006.247289

Seiffert U, Hammer B, Kaski S, Villmann T:

Neural networks and machine learning in bioinformatics - theory and applications. In: Verleysen M (Ed.): Advances in computational intelligence and learning: 14th European Symposium on Artificial Neural Networks, ESANN 2006, Bruges, Belgium, April 26 - 27 - 28, 2006, proceedings. Evere, Belgium: d-side (2006) ISBN 2-930307-06-4, 521-532.

Sreenivasulu N, Radchuk V, Strickert M, Miersch O, Weschke W, Wobus U:

Gene expression patterns reveal tissue-specific signaling networks controlling programmed cell death and ABA- regulated maturation in developing barley seeds. Plant J. 47 (2006) 310-327. https://dx.doi.org/10.1111/j.1365-313X.2006.02789.x

Strickert M, Czauderna T, Peterek S, Matros A, Mock H-P, Seiffert U:

Full-length HPLC signal clustering and biomarker identification in tomato plants. In: Ruan D, Dhondt P, Fantoni P F, de Cock M, Nachtegael M, Kerre E E (Eds.): Applied artificial intelligence: Proceedings of the 7th International FLINS Conference, Genova, Italy, 29-31 August 2006. Singapore [u.a.]: World Scientific (2006) ISBN 981-256-690-2, 549-556.

Strickert M, Seiffert U, Sreenivasulu N, Weschke W, Villmann T, Hammer B:

Generalized relevance LVQ (GRLVQ) with correlation measures for gene expression analysis. Neurocomputing 69 (2006) 651-659. https://dx.doi.org/10.1016/j.neucom.2005.12.004

Strickert M, Sreenivasulu N, Peterek S, Weschke W, Mock H-P, Seiffert U:

Unsupervised feature selection for biomarker identification in chromatography and gene expression data. In: Schwenker F, Marinai S (Eds.): Artificial neural networks in pattern recognition: second IAPR Workshop, ANNPR 2006, Ulm Germany, August 31 - September 2, 2006. proceedings. (Series: Lecture Notes in Computer Science, Vol. 4087) Berlin [u.a.]: Springer (2006) ISBN 978-3-540-37951-5, 274-285. https://dx.doi.org/10.1007/11829898_25

Strickert M, Sreenivasulu N, Seiffert U:

Sanger-driven MDSLocalize - a comparative study for genomic data. In: Verleysen M (Ed.): Advances in computational intelligence and learning: 14th European Symposium on Artificial Neural Networks, ESANN 2006, Bruges, Belgium, April 26 - 28, 2006, proceedings. Evere, Belgium: d-side (2006) ISBN 2-930307-06-4, 265-270.

Tautenhahn R, Ihlow A, Seiffert U:

Adaptive feature selection for classification of microscope images. In: Bloch I, Petrosino A, Tettamanzi A G B (Eds.): Fuzzy logic and applications: 6th international workshop, WILF 2005, Crema, Italy, September 15-17, 2005. (Series: Lecture Notes in Computer Science, Vol. 3849) Berlin [u.a.]: Springer (2006) ISBN 978-3-540-32529-1, 215-222. https://dx.doi.org/10.1007/11676935_26

Villmann T, Hammer B, Seiffert U:

Perspectives of self-adapted self-organizing clustering in organic computing. Biologically Inspired Approaches to Advanced Information Technology, Proceedings. Lect. Notes Comput. Sci 3853 (2006) 141-159. https://dx.doi.org/10.1007/11613022_14

Villmann T, Seiffert U, Schleif F M, Brüß C, Geweniger T, Hammer B:

Fuzzy labeled self-organizing map with label-adjusted prototypes. In: Schwenker F, Marinai S (Eds.): Artificial neural networks in pattern recognition: second IAPR Workshop, ANNPR 2006, Ulm Germany, August 31 - September 2, 2006, proceedings. (Series: Lecture Notes in Computer Science, Vol. 4087) Berlin [u.a.]: Springer (2006) ISBN 978-3-540-37951-5, 46-56. https://dx.doi.org/10.1007/11829898_5