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Special Session
Denoising Methods for Bioimaging: Advances in Theory and Implementations - DMB 2018

19 - 21 January, 2018 - Funchal, Madeira, Portugal

Within the 5th International Conference on Bioimaging - BIOIMAGING 2018


Jan Schier
The Institute of Information Theory and Automation of the Czech Academy of Sciences
Czech Republic

Brief Bio
Jan Schier obtained his MSc degree in electrical engineering in 1989 and Ph.D. in 1995 mathematical engineering, both from Czech Technical University. Since the beginning of his Ph.D. studies, he has been with the Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, Prague. He has started his research career in the field of parallel implementations of the signal processing algorithms. Between 1995-2002 he has been on several long-term stays with the Faculty of Electrical Engineering at TU Delft, the Netherlands and with the SISTA group of the Department of Electrical Engineering, KU Leuven, Belgium, in both cases working in the field of applied signal processing. An informal cooperation with the Yeast Colony Group at the Faculty of Sciences, Charles University, which started round 2009, started his interest in image processing for microsocopy and bioimaging, which eventually led him to join the Image Processing group of UTIA in October 2011. The paper on Colony Counting Tool has been awarded the Best Paper Award at the BIOSTEC/BIOINFORMATICS conference in 2011. His current interests cover mainly image denoising and segmentation methods for bioimaging and microscopy imaging, as well as - on the practical side - Java programming for ImageJ. He is mainly involved in projects of applied research and implementation projects: recent examples include evaluation of Langerhans Islets (in close cooperation with Czech Technical University and Institute for Clinical and Experimental Medicine) and evaluation of breast ultrasound examinations (Technology Agency of the Czech Republic project TA04011392 "Early ultrasound detection of breast cancer"). Dr. Schier has served as the program co-chair for the BIOSTEC/BIOIMAGING conference in 2014 and 2015.


Denoising plays crucial role probably in all modalities of bioimaging: it is widely used in medical imaging modalities such as MRI, X-Ray, ultrasound, but in the same time, it is indispensable for advanced techniques of microscopy imaging. Compared with standard imaging conditions as encountered in technical applications, the bioimaging field comes with some unique challenges: often, we have to cope with non-Gaussian character of image noise. In order to preserve information on anatomical structures or cells contained in the image, preservation of object edges is of high importance.

In the past years, number of advanced methods have emerged, often well suited to cope with these requirements, such as the mutiscale and wavelet methods and their novel modifications or various versions of non-local means methods to name but two major directions of algorithmic development.

However, the improved performance often comes at computational costs and various approximative schemes or specialized parallel hardware have to be utilized in order to achieve acceptable computational performance. There are still many challenging tasks both in improving denoising performance and in getting proper balance between denoising performance and acceptable execution speed.

With this Special Session, we would like to bring together both experts specialized rather in algorithmic development and those more interested in the implementation part of the story, also in embedded systems. We would like to contribute to discussion between both groups, since the complex view of algorithms in the context of underlying hardware is necessary.


The topics of this Special Session includes, but is not limited to:

- advanced algorithms for bioimage denoising
- algorithms for reducing non-Gaussian or mixed noise
- algorithms for multidimensional images
- practical implementations, plugins for ImageJ, Fiji, Icy,...
- advanced denoising methods for microscopy
- fast implementations using GPU or special computational architectures
- new approaches to image denoising and restoration: deep learning and others


Paper Submission: November 7, 2017 (expired)
Authors Notification: November 21, 2017 (expired)
Camera Ready and Registration: November 29, 2017 (expired)


Jan Horacek, Charles University in Prague, Czech Republic
Michal Sorel, Independent Researcher, Czech Republic
Filip Sroubek, Inst. of Information Theory and Automation of the ASCR, Czech Republic


Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.


After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by DBLP, Web of Science / Conference Proceedings Citation Index, EI and SCOPUS.
SCITEPRESS is a member of CrossRef ( and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library


BIOIMAGING Special Sessions - DMB 2018