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Special Sessions

Special sessions are very small and specialized events to be held during the conference as a set of oral and poster presentations that are highly specialized in some particular theme or consisting of the works of some particular international project. The goal of special sessions (minimum 4 papers; maximum 9) is to provide a focused discussion on innovative topics. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), DBLP, EI (Elsevier Engineering Village Index), Scopus, Semantic Scholar and Google Scholar.


SPECIAL SESSIONS LIST

ClinMed 2020Special Session on Designing Future Health Innovations as Needed
Chair(s): Lionel Pazart and Robert Picard

BENEFICIAL 2020Special Session on Engineering and Fabrication of Biocompatible and Bioinspired Materials
Chair(s): Saibal Mitra

NDNSNT 2020Special Session on Non-invaisive Diagnosis and Neuro-stimulation in Neurorehabilitation Tasks
Chair(s): Vladimir Kublanov, Yury Kistenev and Zafar Yuldashev

SEM 2020Special Session on System Engineering in Healthcare
Chair(s): Ali Alghamdi, Saleh Binobaid, Omar Hammami and Saad Aldoihi

DeepMSK 2020Special Session on Deep Learning in Musculoskeletal Imaging
Chair(s): Fabio Galbusera and Frank Niemeyer

DISGEO 2020Special Session on Studying Biomolecules Structure and Rigidity using Distance Geometry
Chair(s): Therese Malliavin, Carlile Lavor and Antonio Mucherino

SERPICO 2020Special Session on Mining Self-reported Outcome Measures, Clinical Assessments, and Non-invasive Sensor Data Towards Facilitating Diagnosis, Longitudinal Monitoring, and Treatment
Chair(s): Athanasios Tsanas, Andreas Triantafyllidis, Georgios Theodorakopoulos and Siddharth Arora

CS-SPI 2020Special Session on Compressive Sensing and Single Pixel Imaging in Biomedical Applications
Chair(s): Pedro G. Vaz

SemPTMed 2020Special Session on Semantically Powered Translational Medicine
Chair(s): Radmila Juric

Cognitive Health IT 2020Special Session on Machine Learning and Deep Learning Improve Preventive and Personalized Healthcare
Chair(s): Tahir Hameed and Syed Ahmad Chan Bukhari

sEMG-ML 2020Special Session on sEMG and Machine Learning for hand gesture recognition
Chair(s): Bart Jansen, Athanassios Skodras and Jan Cornelis

Special Session on Designing Future Health Innovations as Needed - ClinMed 2020

Paper Submission: December 19, 2019
Authors Notification: January 9, 2020
Camera Ready and Registration: January 17, 2020


Co-chairs

Lionel Pazart
Tech4Health/F-CRIN
France
e-mail
 
Robert Picard
Forum LLSA – Forum of Living Labs in Health & Autonomy
France
e-mail
 
Scope

Patients expectations for care and care delivery are changing and force the industry to change. How to bring value with new ideas? How to lead them to maturity? How to get to the market in a sustainable way with a truly useful product? Innovation by Design refers to needs-driven projects that are created to address a recognised market need or societal problem, to deliver tangible results for citizens. Deciphering real needs by observing existing practices and discussing with end-users (patients, professionals) can contribute to the well design of new medical devices by providing the relevant technical specifications. The conference will take a multi-perspective view about what is needed in order to move technology along to real sustained and widespread use.


Special Session on Engineering and Fabrication of Biocompatible and Bioinspired Materials - BENEFICIAL 2020

Paper Submission: December 19, 2019
Authors Notification: January 9, 2020
Camera Ready and Registration: January 17, 2020


Chair

Saibal Mitra
Missouri State University
United States
e-mail
 
Scope

Nature has created, through evolution, robust and sustainable solutions to myriad challenges. This has inspired researchers to engineer biomimetic interactive materials for industrial, medicinal and environmental applications. The focus of BENEFICIAL will be on designing principles and functional materials inspired by nature. The session will highlight engineering approaches (growth, characterization and properties), biocompatibility and functionality of designed materials. However, the scope of bioinspired materials goes beyond the extent of these domains. Therefore, the critical aim of BENEFICIAL is to establish an international, interdisciplinary network (forum) of scientists from fields such as materials science and engineering, physics, biology, chemistry and medicine to discuss current state-of-art and future directions of bioinspired materials.




Special Session on Non-invaisive Diagnosis and Neuro-stimulation in Neurorehabilitation Tasks - NDNSNT 2020

Paper Submission: December 19, 2019
Authors Notification: January 9, 2020
Camera Ready and Registration: January 17, 2020


Co-chairs

Vladimir Kublanov
Ural Federal University
Russian Federation
e-mail
 
Yury Kistenev
National Research Tomsk State University
Russian Federation
e-mail
 
Zafar Yuldashev
Saint-Petersburg Electrotechnical University ETU "LETI"
Russian Federation
e-mail
 
Scope

Among the leading causes of disability and high mortality are diseases of the central nervous system that are accompanied by cognitive, sensor, motor and autonomic disorders. For treatment of such diseases pharmacological methods are not always in conformity with the contemporary requirements of efficacy and safety of health care. New technologies for diagnosis and neuroprotection are emerging, based on application of different physical fields for formation of the neuromodulation as well as methods for its visualization. Especially promising is combined application. Participation in this Special Session of scientist, involved in various research directions of diagnosis and neuro-stimulation theory and techniques, will allow formulating new strategies for diagnosis and treatment process, aimed to minimize health risks for each person, based on personalized strategies of prevention and therapy.




Special Session on System Engineering in Healthcare - SEM 2020

Paper Submission: December 19, 2019
Authors Notification: January 9, 2020
Camera Ready and Registration: January 17, 2020


Co-chairs

Ali Alghamdi
Majmaah University
Saudi Arabia
e-mail
 
Saleh Binobaid
National Center for Assessment
Saudi Arabia
e-mail
 
Omar Hammami
ENSTA ParisTech
France
e-mail
 
Saad Aldoihi
ENSTA ParisTech
France
e-mail
 
Scope

System engineering is immensely influencing every aspect of everyday’s life. A minimum requirement for healthcare equipment is the high capability in term of functionality and compatibility and low-cost affordability. Therefore, healthcare systems are under extreme pressures to meet requirement deemed from various sources.



Special Session on Deep Learning in Musculoskeletal Imaging - DeepMSK 2020

Paper Submission: December 19, 2019
Authors Notification: January 9, 2020
Camera Ready and Registration: January 17, 2020


Co-chairs

Fabio Galbusera
IRCCS Istituto Ortopedico Galeazzi
Italy
e-mail
 
Frank Niemeyer
Ulm University
Germany
e-mail
 
Scope

Deep learning is revolutionizing several industrial and research fields like computer vision, autonomous driving, natural language processing, and speech recognition. Deep learning is already having a major impact in radiology, diagnostics, and many medical other applications in which the availability of automated solution may benefit the accuracy and repeatability of the execution of critical tasks. For this Special Session, we invite papers about the development and the use of deep learning tools in the specific field of musculoskeletal radiology, including but not limited to automated diagnosis, detection and localization of lesions or anatomical landmarks, segmentation, scoring features such as degenerative phenotypes or fractures, as well as ethical issues.


Special Session on Studying Biomolecules Structure and Rigidity using Distance Geometry - DISGEO 2020

Paper Submission: December 19, 2019
Authors Notification: January 9, 2020
Camera Ready and Registration: January 17, 2020


Co-chairs

Therese Malliavin
CNRS and Institut Pasteur
France
e-mail
 
Carlile Lavor
University of Campinas
Brazil
e-mail
 
Antonio Mucherino
IRISA, University of Rennes 1
France
e-mail
 
Scope

Numerous biophysical approaches, as Nuclear Magnetic Resonance (NMR), Small Angle X-ray Scattering (SAXS), Förster resonance energy transfer (FRET) among others, provide information on inter-atomic distances and angles in biomolecular conformations. These parameters often display errors and artifacts as biomolecules undergo conformational transitions which are difficult to put in evidence experimentally. Indeed, most of the biophysical experimental techniques only gain sufficient sensitivity by time and/or space signal averaging. The Distance Geometry Problem (DGP) provides a framework to study such aspects. Moreover, the DGP strongly relies on global optimisation and graph rigidity theory. The session intends to gather presentations focused on the application of distance geometry approaches to structural bioinformatics problems, and on on the development of solution methods for the distance geometry problem.



Special Session on Mining Self-reported Outcome Measures, Clinical Assessments, and Non-invasive Sensor Data Towards Facilitating Diagnosis, Longitudinal Monitoring, and Treatment - SERPICO 2020

Paper Submission: December 19, 2019
Authors Notification: January 9, 2020
Camera Ready and Registration: January 17, 2020


Co-chairs

Athanasios Tsanas
University of Edinburgh
United Kingdom
e-mail
 
Andreas Triantafyllidis
Information Technologies Institute, CERTH
Greece
e-mail
 
Georgios Theodorakopoulos
Cardiff University
United Kingdom
e-mail
 
Siddharth Arora
University of Oxford
United Kingdom
e-mail
 
Scope

There is increasingly available data to support more reliable, evidence-based clinical assessment towards diagnosis, monitoring disease trajectory, and rehabilitation. These come from a variety of sources, including self-reports from patients, clinician-generated reports, wearable devices, and smartphones. This special session will cover new developments towards mining Patient Reported Outcome Measures (PROMs), clinical assessments (both longitudinal and also multimodal assessments), and sensor-based datasets. Moreover, we welcome submissions covering data anonymization and privacy of medical data.


Special Session on Compressive Sensing and Single Pixel Imaging in Biomedical Applications - CS-SPI 2020

Paper Submission: December 19, 2019
Authors Notification: January 9, 2020
Camera Ready and Registration: January 17, 2020


Chair

Pedro G. Vaz
LIBPhys-UC, Department of Physics, University of Coimbra
Portugal
e-mail
 
Scope

Compressive sensing is a fairly recent mathematical tool that allow for the simultaneous acquisition and compression of biomedical signals. This methodology is the basis of an imaging technique called single pixel imaging that can be used in biomedical applications for hyper-spectral imaging, imaging through scattering media, fluorescence microscopy, physical encryption and others. This special session promotes the latest developments in compressive sensing and its biomedical applications including algorithm development, simulation, implementation, experimental application and clinical application.



Special Session on Semantically Powered Translational Medicine - SemPTMed 2020

Paper Submission: December 19, 2019
Authors Notification: January 9, 2020
Camera Ready and Registration: January 17, 2020


Chair

Radmila Juric
University of South East Norway
Norway
e-mail
 
Scope

Translational medicine, aimed at bridging the gap between biomedical scientific knowledge and clinical practice has changed the way we use rapidly growing information from biomedical research and bring it closer to clinical practice. Software technologies play essential role in understanding and manipulating the meaning of biomedical data and translate it into semantic suitable for clinical practice. This special session focuses semantic technologies, plus predictive analytics/learning technologies which play an important role in collecting and understanding the semantic of biomedical knowledge and address problems in translational medicine.

 

TOPICS OF INTEREST:

1)    The applications of semantic and predictive technologies for drug discoveries, repurposing, drug-to-drug interactions and drug recommendation discoveries.

2)    Exploiting semantic predications, semantic matching and biomedical ontologies for inferring knowledge in translational medicine.

3)    Semantic matching of phenotypes and therapeutic targets,  clinical trials and patient eligibility criteria; relationship between genotypic, phenotypic and environmental knowledge.

4)    Learning and predictive technologies for creating meaningful insight into biomedical research data; Semantic classifiers and feature selections for ML in translational biomedicine.

5)    Deep learning meets semantic technologies and reasoning: applications in translational medicine, cheminformatics and pharmacology.




Special Session on Machine Learning and Deep Learning Improve Preventive and Personalized Healthcare - Cognitive Health IT 2020

Paper Submission: December 19, 2019
Authors Notification: January 9, 2020
Camera Ready and Registration: January 17, 2020


Co-chairs

Tahir Hameed
Merrimack College
United States
e-mail
 
Syed Ahmad Chan Bukhari
St.John's University
United States
e-mail
 
Scope

Machine learning has transformed healthcare by improving disease prediction, diagnosis, prognosis, and treatments. Using large but relatively structured datasets like electronic health records (EHRs), scans, and labs, they provide indispensable tools and decision support to healthcare providers and patients. Lately, with bigger, more complex and unstructured datasets available, healthcare apps and clinical decision support systems (CDSS) have started to leverage deep learning to refine these recommendations. Such systems not only have prediction but learning capabilities also. Consequently, they enable preventive and rehabilitative healthcare that is highly personalized and adaptive. This session seeks completed research on applications of deep learning and cognitive computing in preventive care, personalized treatments and adaptive CDSS aiming to better health outcomes, patient satisfaction and costs.


Special Session on sEMG and Machine Learning for hand gesture recognition - sEMG-ML 2020

Paper Submission: December 19, 2019
Authors Notification: January 9, 2020
Camera Ready and Registration: January 17, 2020


Co-chairs

Bart Jansen
Vrije Universiteit Brussel
Belgium
e-mail
 
Athanassios Skodras
University of Patras
Greece
e-mail
 
Jan Cornelis
Vrije Universiteit Brussel
Belgium
e-mail
 
Scope

In recent years, the decoding of surface electromyography (sEMG) signals produced by skeletal muscles during the execution of hand gestures has found many applications in human-machine interface, myoelectric control, rehabilitation, and other domains. The availability and diversity of sEMG have encouraged advancements in processing and data analysis algorithms paving the way for the development of more complex applications. This also includes fusion with other data types for gesture recognition. This special session aims to communicate novel ideas and new theoretical frameworks or algorithms, that are close to real-life applications. It should provide the opportunity for researchers from academia and industry to present their latest work, share ideas and strengthen contacts within this mixed “EMG/Data processing” and “University/Industry” R&D community.


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