Tim W. Nattkemper

Orcid: 0000-0002-7986-1158

Affiliations:
  • Bielefeld University, Center for Biotechnology


According to our database1, Tim W. Nattkemper authored at least 75 papers between 2000 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2022
The Impact of Data Augmentations on Deep Learning-Based Marine Object Classification in Benthic Image Transects.
Sensors, 2022

MetHoS: a platform for large-scale processing, storage and analysis of metabolomics data.
BMC Bioinform., 2022

2021
ALMI - A Generic Active Learning System for Computational Object Classification in Marine Observation Images.
Sensors, 2021

2020
An Interactive Visualization for Feature Localization in Deep Neural Networks.
Frontiers Artif. Intell., 2020

SoRC - Evaluation of Computational Molecular Co-Localization Analysis in Mass Spectrometry Images.
CoRR, 2020

Unsupervised Knowledge Transfer for Object Detection in Marine Environmental Monitoring and Exploration.
IEEE Access, 2020

2019
Detection and visualization of communities in mass spectrometry imaging data.
BMC Bioinform., 2019

SeeVis - 3D space-time cube rendering for visualization of microfluidics image data.
Bioinform., 2019

2018
Tracking Sponge Size and Behaviour with Fixed Underwater Observatories.
Proceedings of the Pattern Recognition and Information Forensics, 2018

Strategies for Tackling the Class Imbalance Problem in Marine Image Classification.
Proceedings of the Pattern Recognition and Information Forensics, 2018

2017
Active Learning for the Classification of Species in Underwater Images from a Fixed Observatory.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
Omics Fusion - A Platform for Integrative Analysis of Omics Data.
J. Integr. Bioinform., 2016

Robust normalization protocols for multiplexed fluorescence bioimage analysis.
BioData Min., 2016

Polyp Activity Estimation and Monitoring for Cold Water Corals with a Deep Learning Approach.
Proceedings of the 2nd ICPR Workshop on Computer Vision for Analysis of Underwater Imagery, 2016

Change detection in marine observatory image streams using Bi-Domain Feature Clustering.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Data-Driven Long Term Change Analysis in Marine Observatory Image Streams.
Proceedings of the 2nd ICPR Workshop on Computer Vision for Analysis of Underwater Imagery, 2016

COATL - a learning architecture for online real-time detection and classification assistance for environmental data.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2014
AKE - the Accelerated k-mer Exploration web-tool for rapid taxonomic classification and visualization.
BMC Bioinform., 2014

Seabed Classification Using a Bag-of-Prototypes Feature Representation.
Proceedings of the 2014 ICPR Workshop on Computer Vision for Analysis of Underwater Imagery, 2014

Ranking Color Correction Algorithms Using Cluster Indices.
Proceedings of the 2014 ICPR Workshop on Computer Vision for Analysis of Underwater Imagery, 2014

Interactive and dynamic web-based visual exploration of high dimensional bioimages with real time clustering.
Proceedings of the German conference on bioinformatics 2014, September 28, 2014

2013
MeltDB 2.0-advances of the metabolomics software system.
Bioinform., 2013

Using a Random Forest Classifier to Find Nuclear Export Signals in Proteins of Arabidopsis thaliana.
Proceedings of the BIOINFORMATICS 2013 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Barcelona, Spain, 11, 2013

2012
WHIDE - a web tool for visual data mining colocation patterns in multivariate bioimages.
Bioinform., 2012

Analyzing multi-tag bioimages with BioIMAX colocation mining tools.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Are we Ready for Science 2.0?.
Proceedings of the KMIS 2012, 2012

2011
Multivariate image mining.
WIREs Data Mining Knowl. Discov., 2011

Looking inside self-organizing map ensembles with resampling and negative correlation learning.
Neural Networks, 2011

Web2.0 paves new ways for collaborative and exploratory analysis of chemical compounds in spectrometry data.
J. Integr. Bioinform., 2011

BioIMAX: A Web 2.0 approach for easy exploratory and collaborative access to multivariate bioimage data.
BMC Bioinform., 2011

A Normalized Tree Index for identification of correlated clinical parameters in microarray experiments.
BioData Min., 2011

A Web2.0 Strategy for the Collaborative Analysis of Complex Bioimages.
Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011

Towards Improved Epilepsia Diagnosis by Unsupervised Segmentation of Neuropathology Tissue Sections using Ripley's-[^(L)]{\rm{\hat L}} Features.
Proceedings of the Bildverarbeitung für die Medizin 2011: Algorithmen - Systeme, 2011

2010
Integrating semantic annotation and information visualization for the analysis of multichannel fluorescence micrographs from pancreatic tissue.
Comput. Medical Imaging Graph., 2010

2009
On the application of (topographic) independent and tree-dependent component analysis for the examination of DCE-MRI data.
Biomed. Signal Process. Control., 2009

TACOA - Taxonomic classification of environmental genomic fragments using a kernelized nearest neighbor approach.
BMC Bioinform., 2009

Qupe - a Rich Internet Application to take a step forward in the analysis of mass spectrometry-based quantitative proteomics experiments.
Bioinform., 2009

A way toward analyzing high-content bioimage data by means of semantic annotation and visual data mining.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

BIIGLE Tools - A Web 2.0 Approach for Visual Bioimage Database Mining.
Proceedings of the 13th International Conference on Information Visualisation, 2009

2008
Model-free visualization of suspicious lesions in breast MRI based on supervised and unsupervised learning.
Eng. Appl. Artif. Intell., 2008

A machine vision system for automated non-invasive assessment of cell viability via dark field microscopy, wavelet feature selection and classification.
BMC Bioinform., 2008

Peak intensity prediction in MALDI-TOF mass spectrometry: A machine learning study to support quantitative proteomics.
BMC Bioinform., 2008

Hyperbolic SOM-based clustering of DNA fragment features for taxonomic visualization and classification.
Bioinform., 2008

Flexible synapse detection in fluorescence micrographs by modeling human expert grading.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Improved Mass Spectrometry Peak Intensity Prediction by Adaptive Feature Weighting.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

The Diversity of Regression Ensembles Combining Bagging and Random Subspace Method.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

A Tree Index to Support Clustering Based Exploratory Data Analysis.
Proceedings of the Bioinformatics Research and Development, 2008

Detection of Focal Cortical Dysplasia Lesions in MRI Using Textural Features.
Proceedings of the Bildverarbeitung für die Medizin 2008, 2008

A machine learning based system for multichannel fluorescence analysis in pancreatic tissue bioimages.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2007
A method for linking computed image features to histological semantics in neuropathology.
J. Biomed. Informatics, 2007

Neural Network Approach for Mass Spectrometry Prediction by Peptide Prototyping.
Proceedings of the Artificial Neural Networks, 2007

2006
ISOLLE: LLE with geodesic distance.
Neurocomputing, 2006

Visual exploratory analysis of DCE-MRI data in breast cancer by dimensional data reduction: A comparative study.
Biomed. Signal Process. Control., 2006

Histologic characterization of DCE-MRI breast tumors with dimensional data reduction.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Feature-space exploration of pathology images using content-based database visualization.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Fusing Biomedical Multi-modal Data for Exploratory Data Analysis.
Proceedings of the Artificial Neural Networks, 2006

Visual Exploration of Pathology Images by a Discrete Wavelet Transform Preprocessed Locally Linear Embedding.
Proceedings of the Bildverarbeitung für die Medizin 2006, Algorithmen, Systeme, Anwendungen, Proceedings des Workshops vom 19., 2006

Content Based Image Retrieval for Dynamic Time Series Data.
Proceedings of the Bildverarbeitung für die Medizin 2006, Algorithmen, Systeme, Anwendungen, Proceedings des Workshops vom 19., 2006

2005
An adaptive tissue characterization network for model-free visualization of dynamic contrast-enhanced magnetic resonance image data.
IEEE Trans. Medical Imaging, 2005

Tumor feature visualization with unsupervised learning.
Medical Image Anal., 2005

Image fusion based on topographic mappings using the hyperbolic space.
Inf. Vis., 2005

The UK MARIBS Breast Screening Study: Evaluation of radiological features for breast tumour classification in clinical screening with machine learning methods.
Artif. Intell. Medicine, 2005

ISOLLE: Locally Linear Embedding with Geodesic Distance.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

SOM-Based Wavelet Filtering for the Exploration of Medical Images.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

An Adaptive Extended Colour Scale for Comparison of Pseudo Colouring Techniques for DCE-MRI Data.
Proceedings of the Bildverarbeitung für die Medizin 2005, Algorithmen - Systeme, 2005

A Hyperbolic Topographic Mapping for Proximity Data.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005

2004
Multivariate image analysis in biomedicine.
J. Biomed. Informatics, 2004

Multiscale entropy analysis in dynamic contrast-enhanced MRI.
Proceedings of the Medical Imaging 2004: Image Processing, 2004

Visualization of multivariate image data using image fusion and perceptually optimized color scales based on sRGB.
Proceedings of the Medical Imaging 2004: Visualization, 2004

Automatic segmentation of digital micrographs: A survey.
Proceedings of the MEDINFO 2004, 2004

2003
Human vs. machine: evaluation of fluorescence micrographs.
Comput. Biol. Medicine, 2003

2002
A neural network architecture for automatic segmentation of fluorescence micrographs.
Neurocomputing, 2002

2001
A neural classifier enabling high-throughput topological analysis of lymphocytes in tissue sections.
IEEE Trans. Inf. Technol. Biomed., 2001

Combining Independent Component Analysis and Self-Organizing Maps for Cell Image Classification.
Proceedings of the Pattern Recognition, 2001

2000
Fluorescence Micrograph Segmentation by Gestalt-Based Feature Binding.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000


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