BIOSTEC 2019 - KALSIMIS

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CO-CHAIRS

	Arkadiusz Tomczyk Institute of Information Technology, Lodz University of Technology Poland

Brief Bio Arkadiusz Tomczyk received the MSc degree in computer science in 2002 and the PhD with honours in computer science in 2011 from the Faculty of Technical Physics, Information Technology and Applied Mathematics of the Lodz University of Technology, Poland. Since 2002 he has been employed in the Institute of Information Technology of the Lodz University of Technology. His research experience covers image processing and analysis, especially active contour methods, as well as pattern recognition and machine learning techniques. From 2007 to 2010 he was engaged as an investigator in research grant devoted to contextual and semantic analysis of medical images and their sequences. From 2013 to 2017 he was a principal investigator in research grant focused on Cognitive Hierarchical Active Partitions, a method combining active contour approach with structural representation of image content. This project was supported by National Science Centre, Republic of Poland, project no. 2012/05/D/ST6/03091. He is an author and co-author of more than 40 journal papers, book chapters and conference contributions.

	Michal Podgorski Department of Radiology and Imagining Diagnostic, Polish Mother’s Memorial Hospital - Research Institute Poland

Brief Bio Michal Podgórski is a resident of radiology in Polish Mother’s Memorial Hospital - Research Institute in Lodz. From early academic years he gained experience in research. He received MD degree with honors in 2014. Than, he worked as a lecturer in a Department of Anatomy (Medical University of Lodz), where he received his Ph.D. in 2016. In 2015 he stared a training in radiology and diagnostic imaging, becoming a grant-holder in two projects supperted by Polish Minisry of Science and Higher Education. His hobby is popularisation of science - he won the 3rd palce in FameLab2017 competition and was twice awarded as a Best Academic Teacher at Medical University of Lodz. The area of his clinical interest includes both adult and child radiology, in particular ultrasonography in arteriosclerosis and musculosceletal system. He is also engaged in researches in a field of clinical antomy. In the area of his interests is also a functional MR used in nerological pediatric disorders. His publishing activity during last five years is evidenced by over 35 individual or collective contributions.

	Piotr Grzelak Department of Radiology and Imagining Diagnostic, Polish Mother’s Memorial Hospital - Research Institute Poland

Brief Bio Piotr Grzelak acquired his experience in radiology and imagining diagnostic in leading clinical and scientific centers in Poland. After receiving his MD degree he worked as a assistant at the City Hospital in Lodz for six years. Next he worked two years as a assistant at the Regional Hospital in Lodz and since 2003 he worked in University Clinical Hospital No. 1. His PhD degree he received in 2003 at the Medical University of Lodz. From 2006 he worked as a radiology consultant at the Medical University of Lodz. In 2013 he achieved his habilitation and in 2016 he received the Associate Professor position. In 2014 he began his work in Polish Mother’s Memorial Hospital - Research Institute in Lodz as the Head of the Department of Radiology and Imagining Diagnostic in the Institute and in 2015 he was nominated by the Minister of Health as a member of Scientific Council of the Institute. The area of his clinical interest includes both adult and child radiology and imagining diagnostic with particular ultrasonography and magnetic resonance imagining (MRI) in arteriosclerosis and others disorders of nervous system. The scientific work has been concentrated on the molecular mechanisms of arteriosclerosis, mental disorders and orthopedic disorders. In the area of his interests were also proton spectroscopy MR and functional MR used in pathological processes and therapy in neurological diseases and other diseases associated with mental disorders. His publishing activity during last five years is evidenced by over 40 individual or collective contributions.

	Piotr Szczepaniak Institute of Information Technology, Lodz University of Technology Poland

Brief Bio Piotr S. Szczepaniak received the MSc degree in automatic control from the Faculty of Electrical Engineering of the Lodz University of Technology, Poland, in 1977, and the PhD in automatic control and DSc in computer science both from the Technical University of Dresden, Germany, in 1982, and 1990, respectively. In 2005, he obtained the full professor title from the President of Poland. In the years 1996-2003 he was and since 2012 he is Head of the Institute of Information Technology of the Lodz University of Technology. Between 2005 and 2008 he was Dean of the Faculty of Technical Physics, Information Technology and Applied Mathematics. Since 2008 till 2012, he has been the Vice-rector for University Development and Business Affairs and since 2012 is a Vice-rector for University Development. In the years 1999-2008, he was a member of Systems Research Institute of the Polish Academy of Sciences. He is the organizer and he was the first President of the ICT Cluster of Central Poland. He is a member of the Polish Cybernetic Society, Polish Neural Networks Society, IEEE Signal Processing Society and the Senior Member of the IEEE Computer Society. His research experience covers optimal control theory, sensitivity analysis, and approximation of dynamic time-delay systems. At present, he is working in the field of computational intelligence and its applications to image analysis, pattern recognition, knowledge extraction and development of medical systems. His publishing activity is evidenced by over 160 individual or collective journal papers and conference contributions, as well as by the edition of books published by Springer-Verlag.

SCOPE

Current machine learning techniques are able to achieve spectacular results in automatic understanding of natural images whereas in the area of medical image analysis the progress is not that evident. The problem is medical knowledge essential for proper interpretation of image content. That knowledge, possessed by relatively small number of radiological or biomedical experts, usually cannot be directly expressed using mathematical formulas. This can be overcome by laborious knowledge acquisition or by techniques to some extent imitating expert behaviour. Both approaches are, however, still challenging tasks. That is why the goal of the special session is to discuss the problems in acquisition and utilization of domain knowledge in automatic understanding of semantic image structure.

Both computer scientists as well as radiological and biomedical experts are welcome as participants. The session should constitute a perfect forum to express expectations, suggest solutions and share experience for members of those communities.

The scope of the session contains, but is not limited to, the following topics:
- deep architectures and learning in image analysis (e.g. convolutional neural networks, LSTM networks, etc.);
- expert knowledge acquisition and representation methods (how effectively medical knowledge can be acquired and used in existing models of image analysis);
- classical image segmentation and object localization techniques capable of using domain specific knowledge (e.g. active contours, neural networks, etc.);
- structural image representation and analysis (e.g. image decomposition, structured prediction, probabilistic graphical models).

IMPORTANT DATES

Paper Submission: December 20, 2018 (expired)
Authors Notification: January 7, 2019 (expired)
Camera Ready and Registration: January 15, 2019 (expired)

SPECIAL SESSION PROGRAM COMMITTEE

Tomasz Andrysiak, Technology and Science University in Bydgoszcz, Poland
Boguslaw Cyganek, AGH University of Science and Technology, Poland
Grzegorz Dudek, Czestochowa University of Technology, Poland
Artur Kusak, Polish Mother’s Memorial Hospital - Research Institute, Poland
Piotr Lipinski, Lodz University of Technology, Poland
Piotr Napieralski, Lodz University of Technology, Poland
Michal Polguj, Medical University of Lodz, Poland
Dariusz Puchala, Lodz University of Technology, Poland
Bartlomiej Stasiak, Lodz University of Technology, Poland
Dominik Szajerman, Lodz University of Technology, Poland
Adam Wojciechowski, Lodz University of Technology, Poland
Michal Wozniak, Wroclaw University of Science and Technology, Poland
Danuta Zakrzewska, Lodz Univ. of Tech., Poland

PAPER SUBMISSION

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.

PUBLICATIONS

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, Microsoft Academic, SCOPUS, Semantic Scholar and Google Scholar.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) 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

SECRETARIAT CONTACTS

BIOSTEC Special Sessions - KALSIMIS 2019
e-mail: bioimaging.secretariat@insticc.org