Call For Papers | Dates | Submission | Organizers | Venue |
Multimodal models in machine learning, particularly deep learning, are transforming medical image analysis by incorporating diverse data modalities, such as medical imaging, digital pathology data, lab reports, patient surveys, audio data, health records, and more. By combining data from multiple modalities (e.g., images, texts, and audio), models offer a more holistic understanding of the data. This comprehensive perspective enhances the accuracy and reliability of detection and diagnostic tasks. In addition, these models pave the way for personalised treatment approaches by providing a thorough understanding of patient conditions. In conclusion, multimodal models represent a pivotal step toward achieving a more accurate, robust, and interpreted solution in healthcare and beyond, underscoring their growing importance across research and real-world applications.
In this special session, we invite submissions that investigate innovative multimodal approaches in healthcare diagnostics. We are looking for original, high-quality papers on the following topics of interest, but not limited to:
Note: The deadline will be 11:59, Greenwich Mean Time (GMT), on Monday 24 March 2025.
Submission is now open via CMT, click here to submit.
Note: Please make sure that you choose the appropriate special session during your submission. The choice at the special session track:
Multimodal Frameworks in Healthcare Diagnostics
For more information on how to create a CMT account, click here.
Authors are invited to submit full papers of length between 8 and 15 pages (1 column – the LNCS template, word , latex , overleaf ) and following the Springer Author Guidelines , showing original research contributions related to the Special session theme.
All questions about submissions should be emailed to mhcd.miua@gmail.com
The accepted papers will appear on the special session website. All accepted articles will be published as MIUA Proceedings by the Springer Publishing Group in the Lecture Notes in Computer Science (LNCS) proceedings volume.
At least one author of each accepted paper must register to the conference.
The 2025 conference will be held in the School of Mechanical Engineering, Faculty of Engineering and Physical Sciences, University of Leeds, UK.
School of Mechanical Engineering Building campus map link | Google Map link.