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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 SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.


Special session proposals are accepted until:

October 17, 2024


If you wish to propose a new Special Session please kindly fill out and submit this Expression of Interest form.

SPECIAL SESSIONS LIST

CI-MII 2025Special Session on Computational Intelligence and Privacy of Medical Images in Artificial Intelligence Era
Chair(s): Mamoon Rashid and Mohammad Arif Siddiqui

WHC 2025Special Session on Wearable HealthCare
Chair(s): Vítor Carvalho, Filomena Soares, José Machado and Demétrio Matos

SAI4PE 2025Special Session on Sensor-based Artificial Intelligence for Patient Empowerment
Chair(s): Ivan Miguel Pires and Paulo Jorge Coelho

Special Session on Computational Intelligence and Privacy of Medical Images in Artificial Intelligence Era - CI-MII 2025

Paper Submission: December 18, 2024
Authors Notification: January 14, 2025
Camera Ready and Registration: January 22, 2025


Co-chairs

Mamoon Rashid
Bahrain Polytechnic
Bahrain
e-mail
 
Mohammad Arif Siddiqui
Bahrain Polytechnic
Bahrain
e-mail
 
Scope

The fields of medical imaging informatics and biomedical engineering play an important role in the effectiveness of present-day healthcare systems. Advancement in terms of technologies like metaverse, artificial intelligence, big data analytics, and internet of things contribute greatly in various healthcare applications. In support to these technologies, computational intelligence methodologies help in addressing complex medical imaging problems and play a major role in imaging techniques like Magnetic Resonance Imaging (MRI), Computed Tomography (CT), Positron Emission Tomography (PET), Functional Magnetic Resonance Imaging (fMRI) etc. In this special issue, articles are expected where computational intelligence research and technologies are applied for medical image analysis for insights.


Special Session on Wearable HealthCare - WHC 2025

Paper Submission: December 18, 2024
Authors Notification: January 14, 2025
Camera Ready and Registration: January 22, 2025


Co-chairs

Vítor Carvalho
2Ai-EST-IPCA & Algoritmi Research Centre, UM
Portugal
e-mail
 
Filomena Soares
Industrial electronics Dept., Algoritmi Research Centre, UM
Portugal
e-mail
 
José Machado
Mechanical Engineering Department, MEtRICs, University of Minho
Portugal
e-mail
 
Demétrio Matos
Department of Industrial Design and Product (ESD), IPCA-ID+
Portugal
e-mail
 
Scope

Wearable HealthCare is part of the actual human daily life. Nowadays, we are able to find these devices and systems practically everywhere, as integrated, among others, in our homes, body, mobile devices and vehicles, with the objective of improving our safety, comfort, performance and quality of life.
Following this trend, we invite investigators, academics and professionals to submit original research and review articles that will contribute to the dissemination of Wearable HealthCare in the Engineering domain.



Special Session on Sensor-based Artificial Intelligence for Patient Empowerment - SAI4PE 2025

Paper Submission: December 18, 2024
Authors Notification: January 14, 2025
Camera Ready and Registration: January 22, 2025


Co-chairs

Ivan Miguel Pires
Universidade de Aveiro
Portugal
e-mail
 
Paulo Jorge Coelho
Polytechnic University of Leiria
Portugal
e-mail
 
Scope

Artificial intelligence (AI) empowers patients by analyzing large data sets to provide personalized insights, forecasts, and treatment suggestions. It can tailor treatment plans using genetic, medical, and current health data. AI predicts health risks, detects illnesses early, and aids in developing personalized medications. Empowered patients better understand their health, follow treatment plans, and maintain communication with healthcare providers. Real-time health monitoring through wearables and sensors enhances patient care by allowing quick responses to health changes. AI integration in healthcare systems improves patient care, reduces staff workload, and manages chronic illnesses. Challenges include ensuring patient privacy, addressing the digital divide, and making AI decisions understandable.


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