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Projects / Programmes source: ARIS

Functions and technologies of complex systems

Periods
Research activity

Code Science Field Subfield
2.06.00  Engineering sciences and technologies  Systems and cybernetics   

Code Science Field
T111  Technological sciences  Imaging, image processing 

Code Science Field
2.06  Engineering and Technology  Medical engineering  
Keywords
medical images, hyperspectral imaging, image segmentation, image registration, image-guided procedures, visual quality control, nanostructured surfaces, nanoparticles, cancer cells, implants, nonautonomous oscillators, endothelial cells, chronotaxic oscillations
Evaluation (rules)
source: COBISS
Researchers (42)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  34541  PhD Metka Benčina  Materials science and technology  Researcher  2016 - 2017  80 
2.  36436  Špela Bračun Vnuk    Technical associate  2015  15 
3.  34537  PhD Maksimilijan Bregar  Systems and cybernetics  Junior researcher  2015  13 
4.  25528  PhD Miran Burmen  Systems and cybernetics  Researcher  2015 - 2020  112 
5.  36711  PhD Blaž Cugmas  Systems and cybernetics  Researcher  2015 - 2017  24 
6.  37417  PhD Mitja Drab  Physics  Researcher  2018 - 2021  66 
7.  51911  Lara Dular  Systems and cybernetics  Junior researcher  2018 - 2020  13 
8.  32068  PhD Ajda Flašker  Biochemistry and molecular biology  Beginner researcher  2015  24 
9.  21314  PhD Miha Fošnarič  Physics  Researcher  2015 - 2016  173 
10.  34540  PhD Alfiia Galimzianova  Systems and cybernetics  Researcher  2015  12 
11.  33446  PhD Bulat Ibragimov  Systems and cybernetics  Researcher  2015  45 
12.  04634  PhD Aleš Iglič  Systems and cybernetics  Researcher  2015 - 2021  969 
13.  34488  PhD Roghayeh Imani  Systems and cybernetics  Researcher  2016  25 
14.  34718  PhD Matic Ivančič  Physics  Junior researcher  2015 - 2018  59 
15.  35415  PhD Jurij Jemec  Systems and cybernetics  Junior researcher  2015 - 2016  14 
16.  36530  PhD Tim Jerman  Systems and cybernetics  Researcher  2015 - 2018  20 
17.  29559  PhD Jaka Katrašnik  Systems and cybernetics  Researcher  2015 - 2016  16 
18.  37506  PhD Dejan Knez  Systems and cybernetics  Junior researcher  2015 - 2018  26 
19.  35421  PhD Robert Korez  Interdisciplinary research  Researcher  2015 - 2018  38 
20.  37148  Judita Lea Krek  Neurobiology  Technical associate  2016 - 2017  18 
21.  35435  PhD Mukta Kulkarni  Neurobiology  Junior researcher  2015 - 2016  37 
22.  35410  PhD Žiga Lesjak  Systems and cybernetics  Junior researcher  2015 - 2016  11 
23.  15678  PhD Boštjan Likar  Systems and cybernetics  Researcher  2015 - 2021  381 
24.  37292  PhD Hennadii Madan  Systems and cybernetics  Junior researcher  2015 - 2018  11 
25.  27519  PhD Primož Markelj  Systems and cybernetics  Researcher  2015 - 2019  20 
26.  35503  PhD Tina Mavrič  Chemical engineering  Researcher  2017 - 2018  14 
27.  36461  PhD Luka Mesarec  Physics  Researcher  2015 - 2021  60 
28.  38114  Domen Močnik  Systems and cybernetics  Junior researcher  2015 - 2019 
29.  31279  PhD Miha Možina  Systems and cybernetics  Researcher  2015 - 2016  12 
30.  36457  PhD Peter Naglič  Systems and cybernetics  Researcher  2015 - 2020  55 
31.  06857  PhD Franjo Pernuš  Systems and cybernetics  Head  2015 - 2020  520 
32.  30689  PhD Šarka Perutkova  Medical sciences  Researcher  2015  54 
33.  54815  Gašper Podobnik  Systems and cybernetics  Junior researcher  2020  11 
34.  53524  Niharika Rawat  Systems and cybernetics  Junior researcher  2020  25 
35.  05043  PhD Aneta Stefanovska  Systems and cybernetics  Researcher  2015 - 2020  432 
36.  28465  PhD Žiga Špiclin  Systems and cybernetics  Researcher  2015 - 2021  138 
37.  29375  PhD Vid Šuštar  Biochemistry and molecular biology  Researcher  2015  75 
38.  20383  PhD Dejan Tomaževič  Manufacturing technologies and systems  Researcher  2016 - 2020  92 
39.  31986  PhD Peter Usenik  Systems and cybernetics  Researcher  2015 - 2016  15 
40.  23404  PhD Tomaž Vrtovec  Systems and cybernetics  Researcher  2015 - 2020  201 
41.  34203  PhD Ekaterina Yurieva Gongadze  Neurobiology  Researcher  2015 - 2021  72 
42.  50679  MSc Yevhen Zelinskyi  Systems and cybernetics  Junior researcher  2018 - 2020  12 
Organisations (2)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  0381  University of Ljubljana, Faculty of Medicine  Ljubljana  1627066  48,182 
2.  1538  University of Ljubljana, Faculty of Electrical Engineering  Ljubljana  1626965  27,738 
Abstract
Research will be focused around three themes.   Image analysis in medicine and pharmacy. We will continue developing novel image analysis methods that will allow more effective extraction of information from medical and other images, and improved image-guidance of medical procedures and processes in pharmaceutical industry. Our research will be balanced between fundamental aspects of image analysis and applications. Research will be focused on: (i) image-guided endovascular intracranial procedures, (ii) automated detection of brain lesions in multiple sclerosis patient, (iii) assessment of pedicle morphology from 3D spine images for pedicle screw placement (iv) development of NIR hyperspectral processing to detect, localize and quantify early stages of dental caries, and (v) development of novel methods for the visual inspection of pharmaceutical tablets and capsules.      Novel nanomaterials for biomedical applications. During the past decade, development of new nanomaterials for biomedical  applications became an important research area.  Within the proposed project we shall fabricate and characterize new nanostructured surfaces and new nanoparticles tailored for specific biomedical applications. Among others, new nanostructured implant coatings, nanostructured biosensors and new antibacterial nanostructured surfaces. Novel nanotechnology based methods for suppression of spreading of cancer cells via membrane vesiculation in the body will be proposed.  Improved biointerfaces and biomaterials in the nanometer scale  visualization methods will contribute to new fundamental knowledge on nanomaterials’ properties and cell response (like membrane vesiculation or  membrane nanotubes formation), thus  enabling better design of biomaterials for the future biomedical applications and more efficient diseases treatment.   Novel approaches in treating complex biological systems. The theory of complex systems has recently been expanded to include nonautonomous oscillatory systems that can stabilize their own characteristic frequencies, despite being subject to continuous perturbation from the environment (named chronotaxic). Their dynamics is time-varying and, until recently, was treated as stochastic. Its deterministic characteristics can now be identified, thus increasing diagnostic and prognostic possibilities in treating complex systems. New methods for time series analysis of nonautonomous, chronotaxic dynamics were also proposed. Armed with these new developments we now plan to study both, technical and biological systems including (i) environmentall effects on thyroid dysfuntion, (ii) fluctuation in tissue oxygenation in diabetes, (ii) interactions between cardiovascular oscillations and brain waves in dementia, (iv) physics of cancer, and (v) chronotaxic properties of the cell membrane potential.
Significance for science
The background for the proposed work in the last couple of years has been published in high impact journals and attracted much attention – both in the mass media and at scientific conferences. Based on the past scientific publications, successful application of novel ideas and methods, transfer and implementation of knowledge into healthcare institutions and industry, and the present research programme proposal, it is expected that the impact of the proposed research project will also be significant. During execution of the planned research programme and through extensive multidisciplinary research collaborations between academia, healthcare providers, medical device manufacturers, drug developers, and pharmaceutical industry, we expect that mutual exchange of knowledge, views, findings, needs and innovative solutions, will lead to novel discoveries and will reveal new and challenging research opportunities. We expect several relevant contributions to the engineering and medical sciences. Some of these are: (i) increased understanding and contribution to the awareness of the potentials and pitfalls of each of the developed image analysis method and system, achieved through scientifically rigorous and objective validation of existing state of the art and novel image analysis methods, (ii) promotion of further research and development of image analysis methods, and facilitation of objective evaluation and comparison studies, by making standard validation image data sets with benchmark results publicly available to the research community, (iii) application of image analysis techniques to improved diagnosis, therapy planning and therapy delivery related several anatomical structures and pathologies, (iv) formulation of guidelines for quantitative measurements in longitudinal studies, (v) advancement of understanding and monitoring of progression of several diseases, achieved through their objective and reproducible in vivo multi-modality  imaging-based measurements, (vi) evolution and improvement of related clinical guidelines and treatment plans, by promoting objective and quantitative measurements in addition to the more subjective neurological status assessment, (vii) faster development and assessment of novel drugs and other innovative ways of therapy, by enabling early decision-making based on objective measurements, (viii)  reduction of the numbers of patients required to assess a given treatment effect in a trial by improved accuracy and sensitivity of quantified anatomical structures, (ix) more reliable characterization of individual patients for personalized treatment, and (x) novel fabrication of nanostructures with better physical and chemical (catalytic) properties because of higher available surface due to nano sized structure.  Fabrication of  new nanoparticle and new nanostructured surfaces may thus lead to improvement of the technological level  in industrial production connected to applications in medicine, in pharmaceutical industry, in production of  new titanium implants and in fabrication of  novel antibacterial surfaces. Nanostructured  titanium surfaces are also of high interest as a photocatalyst and for solar cells applications.   (xi) New methods for supressing the cancer spreding in human body, (xii) characterization of the ability of living systems to respond to fluctuations coming from the external and internal environments, and (xii) understanding of the mechanisms  that stabilise the frequency and amplitude of the associated oscillations in living systems, that are characterised as interacting self-sustained non-autonomous oscillators.    High quality scientific research may also influence university education, while the scientific achievements on the international level enhances the international image of the group, institutions and Slovenia and improves the national scientific development.
Significance for the country
The ultimate success of a new methods and technology is measured by their impact on current practices and also through its contributions to scientific knowledge. The following specific benefits to the Slovenian society and industry is expected: Benefits in terms of the results: Innovative design, development and application of the techniques as well as dissemination, evaluation and transfer of the results will contribute to the visibility, reputation and affirmation of the research team, of the involved institutions (University of Ljubljana, Faculty of Electical Engineering and medical Faculty) and of the Republic of Slovenia in the international scientific research community. The results of the proposed research project are expected to primarly impact the fields of engineering  and medicine, providing direct benefits for the patients, medical doctors, and also for the society as innovations in these fields lead to shorter patient recovery times, greater patient comfort, lower risk of complications, and faster patient throughput.   Transfer of knowledge from academia to industry: The research team will not only strenghten its collaboration with the Slovenian companies but will also approach high-tech companies Slovenian and foreign companies that develop or manufacture relevant devices and systems and which will express interest in technology that will be developed within this programme. Human resources development: The abilities and skills of the researchers fully or partially connected to the proposed research programme will be improved either during or as a result of the programme by means of mini courses, dissemination of the results, sharing of information, or by any other form of collaboration with formal research. The highly relevant and interesting research topic and the expertise of the research team are expected to attract new talented researchers. Strengthening of the institutional capacities: The proposed research programme will enable acquiring new and reconditioning, improving and renovating the existing elements of hardware, software, literature, and administrative and management systems. Increased and more effective collaboration: Working relationships with different individuals, organizations and institutions, whether they are directly related to the research or not, will be established and strengthened, leading to more effective future collaborations. Funds and resources: The ability to generate new financial, technical or organizational support resources for future research projects will increase for the proposers as well as for the institutions involved in the research programme.
Most important scientific results Annual report 2015, interim report
Most important socioeconomically and culturally relevant results Annual report 2015, interim report
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