7th International Conference on Biomedical Engineering and Systems (ICBES'20)
August 13, 2020 - August 15, 2020 | Prague, Czech Republic
Due to COVID'19 pandemic it held VIRTUALLY
The 7th International Conference on Biomedical Engineering and Systems (ICBES'20) held Virtually on August 13 - 15, 2020. ICBES'20 has been completed with great success and this would not have been possible without the dedication and help of the organizers, the chairs and keynote speakers, scientific committee members, and all participants. Many thanks for their continuous support.
Submissions
Submissions were in the form of extended abstracts, short papers, and full manuscripts.
- all submitted papers were peer-reviewed
- the conference proceedings were published under an ISSN and ISBN number
- each paper were assigned a unique DOI number by Crossref
- the conference proceedings were indexed by Google Scholar
- the proceedings were permanently archived in Portico (one of the largest community-supported digital archives in the world).
Congress Chair


Keynote Speaker

Scientific Committee Members
Dr. Javad Alirezaie, Ryerson University, Canada
Dr. Jeremy Brown, Dalhousie University, Canada
Dr. Dennis Carter, Stanford University, USA
Dr. Zhongping Chen, University of California, Irvine, USA
Dr. Josh W Giles, University of Victoria, Canada
Dr. Sang Jun Kim, Samsung Medical Center, Korea
Dr. Peter Kneppo, Czech Technical University in Prague, Czech Republic
Dr. Ivan T. Lima, Jr, North Dakota State University, USA
Dr. Yunhua Luo, University of Manitoba, Canada
Dr. Michele Oliver, University of Guelph, Canada
Dr. Martin Rozanek, Czech Technical University in Prague, Czech Republic
Dr. Hai Xiao, Clemson University, USA
Dr. Huang Zhiwei, National University of Singapore, Singapore
Best Paper Award Winners
We would like to congratulate the following authors for winning the Best Paper Award:
- Laura Lazzari, Imperial College London, United Kingdom
for the paper entitled: "Biophysical Modelling of the Triadic Synapse in the Lateral Geniculate Nucleus" - Tudor-Ionut Nedelcu, Fraunhofer Portugal AICOS, Portugal
for the paper entitled: "Multi-Dataset Training for Skin Lesion Classification on Multimodal and Multitask Deep Learning "