MDA 2024
18th International Conference on Mass Data Analysis of Images and Signals with Applications in Medicine, r/g/b Biotechnology, Food Industries and Dietetics, Biometry and Security, Agriculture, Drug Discover, and System Biology
July 6 – 8, 2024, Dresden, Germany
www.mda-signals.de
Chair
Petra Perner Institute of Computer Vision and applied Computer Sciences IBaI, Germany
Program Committee
Sos Agaian City University of New York, USA
Viviana Bono Università di Torino, Italy
Mohammad Ghanbari University of Essex, United Kingdom
Sri Krishnan Toronto Metropolitan University, Canada
Shuxian Liang Zhejiang University, China
Sudipta Mukhopadhyay Indian Institute of Technology, India
Svetlana Yanushkevich University of Calgary, Canada
Liangpei Zhang Wuhan University, China
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 of signals and images,
* promote the systematic study of how to apply automatic signal/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 (e.g. crypotographic methods, watermarking)
Important Dates
Deadline for paper submission: February 15, 2024
Notification of acceptance: March 18, 2024
Submission of camera-ready copy: April 05, 2024
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 (https://easychair.org/conferences/?conf=mda2024). If you have any problems with the system please do not hesitate to contact info@mda-signals.de. Papers must be formatted in the Springer LNCS format. They should have at most 15 pages. Papers will be reviewed by the program committee.
Publications
Accepted papers will appear in the proceeding book.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.