About The Workshop
============================================
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
============================================
The topics of interest are inspired from the themes above and include, but are not limited to:

** Medical process support:
- Big Data Analytics for predictive diagnostics with medical imaging
- Big Data Analytics for personalised treatment with medical imaging
- Big Data Analytics for medical imaging supporting hospital workflow optimisation
- Data Analytics for disease progression

**Medical Image security:
- Deepfakes detection on Medical Imaging
- Misinformation and disinformation on medical imaging

**Medical Image Processing:
- Big Data Analytics for anomalies detection on medical imaging
- Big Data Analytics for medical images enhancement and reconstruction
- Big Data Analytics for noise reduction in medical images

**Medical Image Dataset:
- Curated datasets for big data analytics in medical imaging
- Synthetic datasets for big data analytics in medical imaging