GDLMIC 2023: Generalizable Deep Learning Techniques for Medical Image Computing 2023 Management Education & Research Institute, Delhi, India, October 17-19, 2023

Deep learning's automatic extraction of features and good results have significantly impacted medical image computing. But, when used in clinical practice, they have severe limitations that cause doctors to maintain their skepticism. For instance, deep learning models are effectively "black boxes" that cannot explain how they make decisions, making it challenging to debug them when necessary. Due to poor explainability, clinicians who are trained to infer logical conclusions from clinical data are skeptical. However, their generalizability still needs to be improved in clinical settings due to the large variety of imaging techniques, wide variations in how disorders manifest through pictures, and rare diseases whose accompanying data may not have been used during training. The generalizability problem is made much more evident when a deep learning model that has been trained on data from one medical center is applied to data from other medical facilities, especially when there are significant variances in the data or when the domain is distinct from the training set. Therefore, it is critically necessary to develop new methodologies to improve the deep learning techniques' explicability and generalizability so that they can be used more frequently in clinical practice. This special issue calls for innovative, explainable or interpretable, and generalizable deep learning algorithms for intelligent medical image computing applications to solve the shortcomings of deep learning approaches in medical image computing.

Submission Guidelines

All the submitted papers should be unique and novel, previously unpublished, or currently not under review for publication in other journals or conferences. The following paper categories are welcome:

• Full papers
• Short papers 
• Review papers

List of Topics

• Methods and applications of Artificial Intelligence in Healthcare
• Medical Expert Systems
• Data Mining and Knowledge Discovery in Healthcare
• Design and development of Computer-Based Medical Systems using AI
• Text Mining and Natural Language Processing in Medical Documents
• Visualization in Medical Imaging
• Deep Learning applications in healthcare
• Multimodal medical data fusion
• Signal analysis and processing through Artificial Intelligence techniques
• Intelligent devices and systems for telemedicine

Organizing Committee

• Dr. G.N. Balaji, Associate Professor, SCOPE, Vellore Institute of Technology, Vellore. 
• Dr. G. Parthasarathy, Assistant Professor, SCOPE, Vellore Institute of Technology, Vellore. 
• Dr. Manzoor Hashmani, Associate Professor, Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia

Publication

All accepted and registered papers of GDLMIC 2023 will be published with Springer in their prestigious "Lecture Notes in Electrical Engineering" series. LNEE Proceedings (https://www.springer.com/series/7818) will be made available to the following indexing services: Scopus, Scimago Journal & Country Rank, and Google Scholar; and will also be submitted to dblp computer science bibliography for inclusion

Venue

Management Education & Research Institute,Delhi, India 

Contact

All questions about submissions should be emailed to balaji.gn@vit.ac.in  

Website:https://sites.google.com/view/ihic-2023/home?authuser=0