Home      Log In      Contacts      FAQs      INSTICC Portal
 

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 session proposals are accepted until:

September 23, 2020


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

SPECIAL SESSIONS LIST

CS-SPI 2021Special Session on Compressive Sensing and Single Pixel Imaging in Biomedical Applications
Chair(s): Pedro G. Vaz

BENEFICIAL 2021Special Session on Engineering and Fabrication of Biocompatible and Bioinspired Materials
Chair(s): Saibal Mitra

DeepMSK 2021Special Session on Deep Learning in Musculoskeletal Imaging
Chair(s): Fabio Galbusera and Frank Niemeyer

Special Session on Compressive Sensing and Single Pixel Imaging in Biomedical Applications - CS-SPI 2021

Paper Submission: November 26, 2020
Authors Notification: December 14, 2020
Camera Ready and Registration: December 22, 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 Engineering and Fabrication of Biocompatible and Bioinspired Materials - BENEFICIAL 2021

Paper Submission: November 26, 2020
Authors Notification: December 14, 2020
Camera Ready and Registration: December 22, 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 Deep Learning in Musculoskeletal Imaging - DeepMSK 2021

Paper Submission: November 26, 2020
Authors Notification: December 14, 2020
Camera Ready and Registration: December 22, 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.


footer