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15th Intern. Conf. on Mass Data Analysis of Images and Signals in Artificial Intelligence and Pattern Recognition MDA-AI&PR2020

MDA-AI&PR 2020 www.mda-signals.de

15th Intern. Conf. on Mass Data Analysis of Images and Signals in Artificial Intelligence and Pattern Recognition MDA-AI&PR2020

The Scope of the Conference

The automatic analysis of images and signals in medicine, biotechnology, System Biology, chemistry, biometry, drug discovery and information robots is a challenging and demanding field. Signal-producing procedures by microscopes, spectrometers and other sensors have found their way into wide fields of medicine, biotechnology, economy and environmental analysis. With this arises the problem of the automatic mass analysis of signal information. Signal-interpreting systems which generate automatically the desired target statements from the signals are therefore of compelling necessity. The continuation of mass analyses on the basis of the classical procedures leads to investments of proportions that are not feasible. New procedures and system architectures are therefore required. The scope of conference is to bring together researcher, praticioners and industry people who are dealing with mass analysis of images and signals to present and discuss recent research in these fields.

The goals of this conference are to:

  • provide a forum for identifying important contributions and opportunities for research on mass data analysis on microscopic images,
  • promote the systematic study of how to apply automatic image analysis and interpretation procedures to that field
  • show case applications of mass data analysis in biology, medicine, and chemistry.

Topics of interest include (but are not limited to):

  • Applications in Medicine, r/g/b Biotechnology, Food Industries and Dietetics, Biometry and Agriculture
  • Techniques and developments of signal and image producing procedures
  • Object matching and object tracking in microscopic and video microscopic images
  • 1D, 2D and 3D shape analysis and description
  • 1D, 2D and 3D feature extraction of texture, structure and location
  • Algorithms for 1D, 2D and 3D signal analysis and interpretation
  • Image segmentation algorithms
  • Parallelization of image analysis and interpretation algorithms
  • Semantic tagging of microscopic images
  • Applications in medicine, biotechnology, chemistry and others
  • Applications in crystallography
  • Applications in proteomics
  • Applications in 2D and 3D cell images analysis
  • Image Acquisition procedures for mass data analysis
  • Methods and solutions for biometrical systems (Face-, Iris and Fingerprint Recognition)
  • Recognition methods for moving objects (face, iris, body)
  • Methods for data encryption ( crypotographic methods, watermarking)

Important Dates

Deadline for paper submission:  Febrauary 15, 2020

Notification of acceptance:  March 18, 2020

Submission of camera-ready copy: April 05, 2020

Submission and Publication 

Authors can submit their papers via an on-line reviewing system.: Please submit the PDF-File of your camera-ready paper through the COMMENCE conference management system (). If you have any problems with the system please do not hesitate to contact info@ Papers must be formatted in the Springer LNCS format. They should have at most 15 pages. Papers will be reviewed by the program committee. Accepted papers will appear in the proceedings book "Advances in
Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry” published by ibai-publishing Prof. Dr. Petra Perner. Extended versions of selected papers will be published in a special issue of the Intern. Journal Transactions on Mass-Data Analysis of Images and Signals (ISSN: 1868-6451) after the conference.


12 July 2020 @ 09:00

14 July 2020 @ 04:00

Duration: 2 days, 7 hours

Timezone: 0


15th Intern. Conf. on Mass Data Analysis of Images and Signals in Artificial Intelligence and Pattern Recognition MDA-AI&PR2020

851 6th Avenue

New York

United States

Organised by

Institute of Computer Vision and applied Computer Sciences IBaI