Special Tracks

1) Hospital 4.0
2) Medical Image and Video Analysis Using Deep Learning
3) Ushering a new era in cancer visualization through multidisciplinary approaches
4) Perspectives on patient accessible electronic health records (PAEHR)
5) Social data and medical data analytics
6) Industry
7) Doctoral Consortium
1) Hospital 4.0The topics of interest will include but will be not limited to:

  • Clinical Decision Support Systems
  • Healthcare Cybersecurity
  • Smart, wireless, wearable sensors in Healthcare
  • Robotics and artificial intelligence in Healthcare
  • Technology in the service of Healthcare management
  • Data analytics
  • Digital support for personalized medicine
  • Ethics of Hospital 4.0

Mario Merone, Università Campus Bio-Medico di Roma, Italy
Tony Solomonides, Research Institute of the NorthShore University HealthSystem, Evanston, Illinois

For more information click here.

2) Medical Image and Video Analysis Using Deep LearningTopic of interest include (but are not limited to):

  • Novel approaches for medical image/exam classification, object/lesion classification, organ/region/landmark localization, object/lesion detection, organ/substructure segmentation, lesion segmentation, and medical image registration using DL
  • Content-Based Image Retrieval (CBIR) of medical images using DL
  • Medical image content understanding using DL
  • Medical image generation and enhancement methods using DL
  • Multimodal (image/text) analysis using DL
  • Organ-specific (brain, eye, breast, heart, skin, lungs, abdomen, etc.), modality-specific (MRI, X-rays, PET, CT, color fundus images, etc.) and disease-specific image analysis using DL
  • Applications of DL for digital pathology and microscopy

Oge Marques, Florida Atlantic University, FL USA
Michael Alexander Riegler, Research Scientist @ Simula@HiOA and adjunct professor at Oslo University
Klaus Schoeffmann, Institute of Information Technology (ITEC) at Klagenfurt University, Austria

For more information click here.

3) Ushering a new era in cancer visualization through multidisciplinary approachesTopics include but are not limited to:

  • In vivo imaging techniques
  • In vitro analysis
  • Fast image acquisition
  • Rapid high-throughput analysis (detection, treatment and monitoring)
  • Micro- and Nano- approaches
  • Cellular and Molecular pathways
  • Biomedical imaging and computer-based techniques
  • Clinical and translational techniques

Smitha Rao, Michigan Technological University
Marina Tanasova, Michigan Technological University

For more information click here.

4) Perspectives on patient accessible electronic health records (PAEHR):

Patient-focused researchers are encouraged to contribute with research papers highlighting patient perspective, including research on PAEHRs with a functionality that allows patients to add information to their medical records online. Reports of new initiatives related to PAEHRs are also of special interest. Apart from the above mentioned, topics of interest for this special track include, but are not limited to the following issues relating to PAEHR:

  • Patient attitudes towards online access
  • Healthcare professionals’ perspectives on patients’ online access
  • Privacy and security on patients’ online access
  • PAEHR as a mediator between patients and healthcare professionals
  • Impact on and possibilities for shared decision making
  • Regulatory frameworks in relation to e-health service for patients
  • Online access in the context of patients’ and professionals’ information behavior
  • Impact of medical record information and online access systems for patients and healthcare
  • Management perspectives to PAEHR
  • Competences and literacies for accessing medical record information online
  • Evaluation of online access systems
  • Effects on the work environment for healthcare professionals
  • Patient empowerment
  • Patient editable medical records
  • Studies comparing PAEHRs in different countries and/or contexts

Jonas Moll, Postdoctoral researcher at the Department of Information Technology, Uppsala University, Uppsala, Sweden
Isto Huvila, Professor at the Department of ALM, Uppsala University, Sweden
Rose-Mharie Åhlfeldt, Associate Professor at the School of Informatics, University of Skövde, Skövde, Sweden
Hanife Rexhepi, Ph.D. student at the School of Informatics, University of Skövde, Skövde, Sweden
Bridget Kane, Associate Professor Information Systems, Karlstad University, Sweden

5) Social data and medical data analyticsThis is the second edition of the Special Track organised at CBMS 2017. The topics of interest will include (but are not limited to):

  • Challenges in social data analytics
  • Data management
  • Data curation
  • Opinion mining and sentiment analysis
  • Privacy-aware data mining algorithms
  • Data quality and veracity
  • Natural language processing and text-mining
  • Semantics
  • Trend discovery and analysis
  • Graph mining and community detection
  • Social sensors
  • IoT devices
  • Applications in social data analytics
  • Epidemiological analysis
  • Outbreak detection
  • Human behaviour
  • Medical skills and education
  • Personalized medicine
  • Diagnosis, prognosis and prognostics

Alejandro Rodríguez-González, Universidad Politécnica de Madrid, E.T.S de Ingenieros Informáticos
Athena Vakali, Department of Informatics, Aristotle University, AUTH Campus, 54126 Thessaloniki, Greece
Sebastian Ventura Soto, University of Cordoba, Department of Computers Science and Numerical Analysis
Takashi Okumura, Center for Public Health Informatics, National Institute of Public Health. 2-3-6 Minami, Wako-shi, Saitama 351-0197 Japan
Ernestina Menasalvas-Ruiz, Universidad Politécnica de Madrid. E.T.S de Ingenieros Informáticos. P.O. Box 28660, Campus de Montegancedo, Boadilla del Monte, Madrid, Spain

For more information click here.

6) IndustryCBMS 2018 will have a special industry track session, where we invite (a) scientific papers or (b) demonstrations/posters.

Scientific papers: We invite papers (not exceeding 6 pages in length), describing innovative computer based medical devices or software applications, including practical experiences with such innovations. The papers should be scholarly articles presenting scientific methods, measurements, and experiments. Marketing and sales materials will not be accepted. The papers will be evaluated based on practicality, innovation, scientific rigor, value of the device or application to users, and novelty. Papers will be published in the proceedings of the conference along with the other papers under the industry track.

Examples of such papers could include but are not limited to:

  • Computer-based medical devices that have technical/scientific novelty
  • Computer-based medical applications intended for or recently introduced in the field
  • Novel uses of traditional equipment in practice
  • Experience papers based on use and data from the field
  • Insightful measurement-based analysis of computer-based medical systems from the field
  • Novel analysis providing new insights from data collected from the field
  • New and practical data analytics useful in practice

Demonstrations/posters: A demonstration or poster is more appropriate if the scope of the effort is narrow or if the value can be better expressed with demonstration or poster rather than in a full-length paper. The topics for the demonstration/posters session are the same as the papers for this track. Please submit a one page proposal of your demonstration or poster. We encourage those who are submitting full papers to include their projects in the demo session.

Important Dates

Industry submissions: March 05th, 2018

Industry notifications: April 25th, 2018

Industry Co-Chairs

Line Melby, SINTEF, Norway

Ricardo Cruz-Correia, Portugal

Contact email:  industry-chairs.CBMS2018@kau.se

7) Docotoral ConsortiumThe Doctoral Consortium for CBMS 2018 will take place on 21 June 2018. It will provide an opportunity for PhD students to present their research plans or their preliminary work in an informal and supportive atmosphere. The PhD students will be able to discuss the problems that their PhDs are addressing, any preliminary results, and their future plans. The DC will offer them an opportunity to discuss any problems that they have come up against, and gain valuable advice and constructive feedback from experienced researchers in the field.

The Doctoral Consortium will involve presentations by participating PhD students (selected by the Doctoral Consortium chairs) as well as a number of invited talks / tutorials on different related topics in the field.


Doctoral Consortium submissions should focus specifically on a PhD thesis or subsection of a thesis. To apply for participation at CBMS 2018 Doctoral Consortium, please submit a research plan on a topic related to the areas covered in the general call for papers for the conference. Each submission should be in the same format as the main conference papers except it should consist of approximately 3-5 pages describing your research work.

In particular:

  • Title and author
  • The research problem that your PhD addresses
  • Your planned approach and methods for solving the problem
  • How your approach compares to other known approaches
  • Any preliminary results or expected results
  • Future plans and directions with specific questions

Important Dates

Doctoral Consortium submissions: March 19th, 2018

Doctoral Consortium notifications: April 25th, 2018

Slides due: June 1st, 2018

Docotoral Consortium Co-Chairs

Allan Tucker, Brunel University London, UK

Pieter Toussaint, NTNU, Norway

Contact email:  doctoral-chairs.CBMS2018@kau.se

Deadlines for Special Tracks 1 to 5 are the same as for all other submissions; for Industry and Doctoral Consortium deadlines, see the respective points.