Fluorescence Micrograph Segmentation by Gestalt-Based Feature Binding. - Tim W. Nattkemper; Heiko Wersing; Helge J. Ritter; Walter Schubert (IJCNN (1), 2000)

Combining Independent Component Analysis and Self-Organizing Maps for Cell Image Classification. - Tanja Kämpfe; Tim W. Nattkemper; Helge J. Ritter (DAGM-Symposium, 2001)

A neural classifier enabling high-throughput topological analysis of lymphocytes in tissue sections. - Tim W. Nattkemper; Helge J. Ritter; Walter Schubert (IEEE Trans. Inf. Technol. Biomed., 2001)

A neural network architecture for automatic segmentation of fluorescence micrographs. - Tim W. Nattkemper; Heiko Wersing; Walter Schubert; Helge J. Ritter (Neurocomputing, 2002)

Human vs. machine: evaluation of fluorescence micrographs. - Tim W. Nattkemper; Thorsten Twellmann; Helge J. Ritter; Walter Schubert (Comput. Biol. Medicine, 2003)

Breast MRI data analysis by LLE. - Claudio Varini; Tim W. Nattkemper; Andreas Degenhard; Axel Wismüller (IJCNN, 2004)

Automatic segmentation of digital micrographs: A survey. - Tim W. Nattkemper (MedInfo, 2004)

Visualization of multivariate image data using image fusion and perceptually optimized color scales based on sRGB. - Axel Saalbach; Thorsten Twellmann; Tim W. Nattkemper; Mark White 001; Michael Khazen; Martin O. Leach (Image-Guided Procedures, 2004)

Multiscale entropy analysis in dynamic contrast-enhanced MRI. - Andreas Degenhard; Marc Mutz; Tim W. Nattkemper; Axel Saalbach; Thorsten Twellmann; Mark J. White; Michael Khazen; Linda Pointon; Martin O. Leach (Image Processing, 2004)

Multivariate image analysis in biomedicine. - Tim W. Nattkemper (J. Biomed. Informatics, 2004)

A Hyperbolic Topographic Mapping for Proximity Data. - Axel Saalbach; Thorsten Twellmann; Tim W. Nattkemper; Axel Wismüller; Jörg Ontrup; Helge J. Ritter (Artificial Intelligence and Applications, 2005)

An Adaptive Extended Colour Scale for Comparison of Pseudo Colouring Techniques for DCE-MRI Data. - Thorsten Twellmann; Oliver Lichte; Axel Saalbach; Axel Wismüller; Tim W. Nattkemper (Bildverarbeitung für die Medizin, 2005)

SOM-Based Wavelet Filtering for the Exploration of Medical Images. - Birgit Lessmann; Andreas Degenhard; Preminda Kessar; Linda Pointon; Michael Khazen; Martin O. Leach; Tim W. Nattkemper (ICANN (1), 2005)

ISOLLE: Locally Linear Embedding with Geodesic Distance. - Claudio Varini; Andreas Degenhard; Tim W. Nattkemper (PKDD, 2005)

The UK MARIBS Breast Screening Study: Evaluation of radiological features for breast tumour classification in clinical screening with machine learning methods. - Tim W. Nattkemper; Bert Arnrich; Oliver Lichte; Wiebke Timm; Andreas Degenhard; Linda Pointon; Carmel Hayes; Martin O. Leach (Artif. Intell. Medicine, 2005)

Image fusion based on topographic mappings using the hyperbolic space. - Axel Saalbach; Jörg Ontrup; Helge J. Ritter; Tim W. Nattkemper (Inf. Vis., 2005)

Tumor feature visualization with unsupervised learning. - Tim W. Nattkemper; Axel Wismüller (Medical Image Anal., 2005)

An adaptive tissue characterization network for model-free visualization of dynamic contrast-enhanced magnetic resonance image data. - Thorsten Twellmann; Oliver Lichte; Tim W. Nattkemper (IEEE Trans. Medical Imaging, 2005)

Content Based Image Retrieval for Dynamic Time Series Data. - Birgit Lessmann; Tim W. Nattkemper; Johannes Huth; Christian Loyek; Preminda Kessar; Michael Khazen; Linda Pointon; Martin O. Leach; Andreas Degenhard (Bildverarbeitung für die Medizin, 2006)

Visual Exploration of Pathology Images by a Discrete Wavelet Transform Preprocessed Locally Linear Embedding. - Claudio Varini; Birgit Lessmann; Andreas Degenhard; Volkmar H. Hans; Tim W. Nattkemper (Bildverarbeitung für die Medizin, 2006)

Fusing Biomedical Multi-modal Data for Exploratory Data Analysis. - Christian Martin 002; Harmen grosse Deters; Tim W. Nattkemper (ICANN (2), 2006)

Feature-space exploration of pathology images using content-based database visualization. - Birgit Lessmann; Volkmar H. Hans; Andreas Degenhard; Tim W. Nattkemper (Image Processing, 2006)

Histologic characterization of DCE-MRI breast tumors with dimensional data reduction. - Claudio Varini; Andreas Degenhard; Tim W. Nattkemper (Image Processing, 2006)

Visual exploratory analysis of DCE-MRI data in breast cancer by dimensional data reduction: A comparative study. - Claudio Varini; Andreas Degenhard; Tim W. Nattkemper (Biomed. Signal Process. Control., 2006)

ISOLLE: LLE with geodesic distance. - Claudio Varini; Andreas Degenhard; Tim W. Nattkemper (Neurocomputing, 2006)

Neural Network Approach for Mass Spectrometry Prediction by Peptide Prototyping. - Alexandra Scherbart; Wiebke Timm; Sebastian Böcker; Tim W. Nattkemper (ICANN (2), 2007)

A method for linking computed image features to histological semantics in neuropathology. - Birgit Lessmann; Tim W. Nattkemper; Volkmar H. Hans; Andreas Degenhard (J. Biomed. Informatics, 2007)

A machine learning based system for multichannel fluorescence analysis in pancreatic tissue bioimages. - Julia Herold; Sylvie Abouna; Luxian Zhou; Stella Pelengaris; David B. A. Epstein; Michael Khan; Tim W. Nattkemper (BIBE, 2008)

Detection of Focal Cortical Dysplasia Lesions in MRI Using Textural Features. - Christian Loyek; Friedrich G. Woermann; Tim W. Nattkemper (Bildverarbeitung für die Medizin, 2008)

A Tree Index to Support Clustering Based Exploratory Data Analysis. - Christian Martin 002; Tim W. Nattkemper (BIRD, 2008)

The Diversity of Regression Ensembles Combining Bagging and Random Subspace Method. - Alexandra Scherbart; Tim W. Nattkemper (ICONIP (2), 2008)

Improved Mass Spectrometry Peak Intensity Prediction by Adaptive Feature Weighting. - Alexandra Scherbart; Wiebke Timm; Sebastian Böcker; Tim W. Nattkemper (ICONIP (1), 2008)

Flexible synapse detection in fluorescence micrographs by modeling human expert grading. - Julia Herold; Manuela Friedenberger; Marcus Bode; Nasir M. Rajpoot; Walter Schubert; Tim W. Nattkemper (ISBI, 2008)

Hyperbolic SOM-based clustering of DNA fragment features for taxonomic visualization and classification. - Christian Martin 002; Naryttza N. Diaz; Jörg Ontrup; Tim W. Nattkemper (Bioinform., 2008)

Peak intensity prediction in MALDI-TOF mass spectrometry: A machine learning study to support quantitative proteomics. - Wiebke Timm; Alexandra Scherbart; Sebastian Böcker; Oliver Kohlbacher; Tim W. Nattkemper (BMC Bioinform., 2008)

A machine vision system for automated non-invasive assessment of cell viability via dark field microscopy, wavelet feature selection and classification. - Ning Wei; Erwin Flaschel; Karl Friehs; Tim W. Nattkemper (BMC Bioinform., 2008)

Model-free visualization of suspicious lesions in breast MRI based on supervised and unsupervised learning. - Thorsten Twellmann; Anke Meyer-Bäse; Oliver Lange; Simon Y. Foo; Tim W. Nattkemper (Eng. Appl. Artif. Intell., 2008)

BIIGLE Tools - A Web 2.0 Approach for Visual Bioimage Database Mining. - Timm Schoening; Nils Ehnert; Jörg Ontrup; Tim W. Nattkemper (IV, 2009)

A way toward analyzing high-content bioimage data by means of semantic annotation and visual data mining. - Julia Herold; Sylvie Abouna; Luxian Zhou; Stella Pelengaris; David B. A. Epstein; Michael Khan; Tim W. Nattkemper (Image Processing, 2009)

Qupe - a Rich Internet Application to take a step forward in the analysis of mass spectrometry-based quantitative proteomics experiments. - Stefan P. Albaum; Heiko Neuweger; Benjamin Fränzel; Sita Lange; Dominik Mertens; Christian Trötschel; Dirk Wolters; Jörn Kalinowski; Tim W. Nattkemper; Alexander Goesmann (Bioinform., 2009)

TACOA - Taxonomic classification of environmental genomic fragments using a kernelized nearest neighbor approach. - Naryttza N. Diaz; Lutz Krause; Alexander Goesmann; Karsten Niehaus; Tim W. Nattkemper (BMC Bioinform., 2009)

On the application of (topographic) independent and tree-dependent component analysis for the examination of DCE-MRI data. - Axel Saalbach; Oliver Lange; Tim W. Nattkemper; Anke Meyer-Baese (Biomed. Signal Process. Control., 2009)

Integrating semantic annotation and information visualization for the analysis of multichannel fluorescence micrographs from pancreatic tissue. - Julia Herold; Luxian Zhou; Sylvie Abouna; Stella Pelengaris; David B. A. Epstein; Michael Khan; Tim W. Nattkemper (Comput. Medical Imaging Graph., 2010)

Towards Improved Epilepsia Diagnosis by Unsupervised Segmentation of Neuropathology Tissue Sections using Ripley's-[^(L)]{ rm{ hat L}} Features. - Timm Schoening; Volkmar H. Hans; Tim W. Nattkemper (Bildverarbeitung für die Medizin, 2011)

A Web2.0 Strategy for the Collaborative Analysis of Complex Bioimages. - Christian Loyek; Jan Kölling; Daniel Langenkämper; Karsten Niehaus; Tim W. Nattkemper (IDA, 2011)

A Normalized Tree Index for identification of correlated clinical parameters in microarray experiments. - Christian W. Martin; Anika Tauchen; Anke Becker; Tim W. Nattkemper (BioData Min., 2011)

BioIMAX: A Web 2.0 approach for easy exploratory and collaborative access to multivariate bioimage data. - Christian Loyek; Nasir M. Rajpoot; Michael Khan; Tim W. Nattkemper (BMC Bioinform., 2011)

Web2.0 paves new ways for collaborative and exploratory analysis of chemical compounds in spectrometry data. - Christian Loyek; Alexander Bunkowski; Wolfgang Vautz; Tim W. Nattkemper (J. Integr. Bioinform., 2011)

Looking inside self-organizing map ensembles with resampling and negative correlation learning. - Alexandra Scherbart; Tim W. Nattkemper (Neural Networks, 2011)

Multivariate image mining. - Julia Herold; Christian Loyek; Tim W. Nattkemper (WIREs Data Mining Knowl. Discov., 2011)

Are we Ready for Science 2.0?. - Tim W. Nattkemper (KMIS, 2012)

Analyzing multi-tag bioimages with BioIMAX colocation mining tools. - Jan Kölling; Magnus Rathke; Dominic Gardner; Tim W. Nattkemper; Sylvie Abouna; Michael Khan (ISBI, 2012)

WHIDE - a web tool for visual data mining colocation patterns in multivariate bioimages. - Jan Kölling; Daniel Langenkämper; Sylvie Abouna; Michael Khan; Tim W. Nattkemper (Bioinform., 2012)

Using a Random Forest Classifier to Find Nuclear Export Signals in Proteins of Arabidopsis thaliana. - Claudia Rubiano; Thomas Merkle; Tim W. Nattkemper (BIOINFORMATICS, 2013)

MeltDB 2.0-advances of the metabolomics software system. - Nikolas Kessler; Heiko Neuweger; Anja Bonte; Georg Langenkämper; Karsten Niehaus; Tim W. Nattkemper; Alexander Goesmann (Bioinform., 2013)

Interactive and dynamic web-based visual exploration of high dimensional bioimages with real time clustering. - Magnus Rathke; Jan Kölling; Tim W. Nattkemper (GCB, 2014)

Ranking Color Correction Algorithms Using Cluster Indices. - Jonas Osterloff; Timm Schoening; Melanie Bergmann; Jennifer M. Durden; Henry A. Ruhl; Tim W. Nattkemper (CVAUI@ICPR, 2014)

Seabed Classification Using a Bag-of-Prototypes Feature Representation. - Timm Schoening; Thomas Kuhn; Tim W. Nattkemper (CVAUI@ICPR, 2014)

AKE - the Accelerated k-mer Exploration web-tool for rapid taxonomic classification and visualization. - Daniel Langenkämper; Alexander Goesmann; Tim W. Nattkemper (BMC Bioinform., 2014)

COATL - a learning architecture for online real-time detection and classification assistance for environmental data. - Daniel Langenkämper; Tim W. Nattkemper (ICPR, 2016)

Data-Driven Long Term Change Analysis in Marine Observatory Image Streams. - Torben Möller; Ingunn Nilssen; Tim W. Nattkemper (CVAUI@ICPR, 2016)

Change detection in marine observatory image streams using Bi-Domain Feature Clustering. - Torben Möller; Ingunn Nilssen; Tim W. Nattkemper (ICPR, 2016)

Polyp Activity Estimation and Monitoring for Cold Water Corals with a Deep Learning Approach. - Jonas Osterloff; Ingunn Nilssen; Johanna Jarnegren; Pål Buhl-Mortensen; Tim W. Nattkemper (CVAUI@ICPR, 2016)

Robust normalization protocols for multiplexed fluorescence bioimage analysis. - Shan-E-Ahmed Raza; Daniel Langenkämper; Korsuk Sirinukunwattana; David B. A. Epstein; Tim W. Nattkemper; Nasir M. Rajpoot (BioData Min., 2016)

Omics Fusion - A Platform for Integrative Analysis of Omics Data. - Benedikt G. Brink; Annica Seidel; Nils Kleinbölting; Tim W. Nattkemper; Stefan P. Albaum (J. Integr. Bioinform., 2016)

Active Learning for the Classification of Species in Underwater Images from a Fixed Observatory. - Ingunn Nilssen; Torben Möller; Tim W. Nattkemper (ICCV Workshops, 2017)

Strategies for Tackling the Class Imbalance Problem in Marine Image Classification. - Daniel Langenkämper; Robin van Kevelaer; Tim W. Nattkemper (CVAUI/IWCF/MIPPSNA@ICPR, 2018)

Tracking Sponge Size and Behaviour with Fixed Underwater Observatories. - Torben Möller; Ingunn Nilssen; Tim Wilhelm Nattkemper (CVAUI/IWCF/MIPPSNA@ICPR, 2018)

SeeVis - 3D space-time cube rendering for visualization of microfluidics image data. - Georges Hattab; Tim W. Nattkemper (Bioinform., 2019)

Detection and visualization of communities in mass spectrometry imaging data. - Karsten Wüllems; Jan Kölling; Hanna Bednarz; Karsten Niehaus; Volkmar H. Hans; Tim W. Nattkemper (BMC Bioinform., 2019)

Unsupervised Knowledge Transfer for Object Detection in Marine Environmental Monitoring and Exploration. - Martin Zurowietz; Tim W. Nattkemper (IEEE Access, 2020)

SoRC - Evaluation of Computational Molecular Co-Localization Analysis in Mass Spectrometry Images. - Karsten Wüllems; Tim W. Nattkemper (CoRR, 2020)

An Interactive Visualization for Feature Localization in Deep Neural Networks. - Martin Zurowietz; Tim W. Nattkemper (Frontiers Artif. Intell., 2020)

ALMI - A Generic Active Learning System for Computational Object Classification in Marine Observation Images. - Torben Möller; Tim W. Nattkemper (Sensors, 2021)

MetHoS: a platform for large-scale processing, storage and analysis of metabolomics data. - Konstantinos Tzanakis; Tim W. Nattkemper; Karsten Niehaus; Stefan P. Albaum (BMC Bioinform., 2022)

The Impact of Data Augmentations on Deep Learning-Based Marine Object Classification in Benthic Image Transects. - Mingkun Tan; Daniel Langenkämper; Tim W. Nattkemper (Sensors, 2022)

ECO(VI)2SE: Expert-computer vision integration for visual coral status exploration. - Daniel Langenkämper; Aksel Alstad Mogstad; Ingunn Nilssen; Tim W. Nattkemper (Ecol. Informatics, 2025)