INTRODUCTION

Medical imaging technology has resulted in an unprecedented volume of diagnostic data from a variety of sources, including computed tomography (CT), magnetic resonance imaging (MRI), radiography, and more. However, the key problem is no longer just capturing high-resolution pictures, but also effectively understanding and extracting information from this vast amount of data. This is where Big Data analytics come in.

Big Data analytics in medical imaging seeks to extract important information, detect patterns and trends, and assist critical clinical choices. This approach, further helped by machine learning and deep learning techniques not only promises to improve diagnostic and treatment accuracy, but also to increase operational efficiency in healthcare services.

This workshop aims to attract the interest of Big Data and Medical Imaging researchers in developing novel methodologies, datasets, and approaches for diagnosis, patient treatment, medical image management optimization, and misinformation and disinformation detection. 

TOPICS

BDAMI is aimed at different categories of professionals interested in harnessing the potential of Big Data in medical imaging.

IMPORTANT DATES

September 20, 2024October 30, 2024: Due date for full workshop papers submission

Nov 10, 2024: Notification of paper acceptance to authors

Nov 21, 2024: Camera-ready of accepted papers

Dec 15, 2024: Workshop (Full Online)

SUBMISSION AND REGISTRATION

Authors are invited to submit papers up to 10 pages references included (6 to 8 pages are recommended) in the IEEE 2-column format (IEEE Computer Society Proceedings Manuscript template) that can be found here.

All papers must be submitted via the conference submission system for the workshop.

Full registration of IEEE BigData 2024 is required for at least one of the authors for participating in the workshop. 

Registration details and fees are available at the main conference website.

Program Committee

• Matteo Polsinelli, University of Salerno, Italy 

• Chiara Pero, University of Salerno, Italy

• Imad Rida, Université de Technologie de Compiègne, France

• Giorgio De Nunzio, University of Salento, Italy

• Valerio De Luca, University of Salento, Italy

• Antonella Calò, University of Salento, Italy

• Saiyed Umer, Aliah University, India

• Fabio Narducci, University of Salerno, Italy

• Lucia Cimmino,  University of Salerno, Italy

• Lucia Cascone, University of Salerno, Italy

• Andrea Loddo, University of Cagliari, Italy

CONTACTS

For any information, please contact

Carmen Bisogni
University of Salerno
Salerno, Italy
cbisogni@unisa.it

SPECIAL ISSUE ON MULTIMEDIA TOOLS AND APPLICATIONS

"AI-guided Big Data Analytics for Medical Imaging"

The authors of chosen papers presented at BDAMI24 have the opportunity to submit an extended version of their contributions that incorporates both the reviewers' comments on their conference paper and the feedback obtained during the conference presentation. It is important to note that the extended version is expected to contain a significant scientific contribution, such as new algorithms, experiments, or qualitative/quantitative comparisons, and to not transfer large sections of the conference paper.

The call for paper is here.