| Call For Papers | Dates | Submission | Organizers | Venue |
Introduction
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.
Call For Papers
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:
- Integration of Imaging Modalities: Techniques combining MRI, CT scans, genomic sequencing, etc for enhanced disease detection and diagnosis.
- Clinical Validation: Studies validating multimodal approaches in real-world clinical settings.
- Data Fusion Techniques:Methods for effective data fusion from heterogeneous sources.
- Machine Learning and AI: Applications of deep learning and AI in analysing multimodal data.
- Wearable Technology: Patient-Reported Outcomes: Incorporating qualitative data from patients to improve diagnostic processes.
- Interdisciplinary Approaches: Collaborations between fields such as bioinformatics, radiology, and public health.
- Case Studies and Applications: Real-world implementations of multimodal approaches in clinical settings.
Key Dates
- Paper Submission Deadline: Monday 24 March 2025
- Author Notification : Friday 2 May 2025
- Camera-ready regular papers due: Monday 2 June 2025
- Early bird and oral presenters registration deadline: Monday 9 June 2025
- Registration close: Friday 20 June 2025
- Conference: Tuesday 15 - Thursday 17 July 2025
Note: The deadline will be 11:59, Greenwich Mean Time (GMT), on Monday 24 March 2025.
Submission
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.
Guidelines
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
Proceedings
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.
Organizing Committee
- Noha Ghatwary is an Associate Professor in the Computer Engineering Department Arab Academy for Science and technology (AASTMT), Egypt.
- Neda Azarmehr is an Assistant Professor (Lecturer) in Data Science and AI at the Information School, University of Sheffield, UK.
Venue
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.