Call for Papers

Human body includes nervous system, and cardiovascular system among others. Each system is composed of several subsystems. The functional features of these subsystems can be explored by various means. Computer vision (CV) and pattern recognition (PR) techniques, which are a branch of machine learning, used to extract the abnormalities found in human body through functional disorder and structural anomaly.This symposium will provide an opportunity to share views regarding original research work and encourage future collaboration amongst people from Academics, Industry, and Research Community.   

Symposium will focus on the following topics but are not limited to:

  1. Semantic segmentation of medical images
  2. Medical image generation and enhancement methods using deep learning
  3. Multi-modal image registration with deep learning
  4. Content-Based Image Retrieval (CBIR) of medical images
  5. Interventional image analysis with deep learning
  6. Computer-aided detection and diagnosis using medical imaging
  7. Medical Image synthesis and Reconstruction
  8. Transfer learning for medical imaging
  9. 3D medical image analysis
  10. 4D medical image analysis
  11. Learning with noisy labels in medical imaging
  12. Learning with sparse data/labels in medical imaging
  13. Unsupervised deep learning for medical image analysis
  14. Supervised deep learning for medical image analysis
  15. Uncertainty estimation
  16. Integration of imaging and clinical data
  17. Data augmentation for medical images
  18. End-to-end learning for prognosis and treatment selection

    All papers will be double blind reviewed by a team of experienced reviewers. Review criteria will be based on originality, quality of work, technical ingenuity, results and application prospects.
    You are requested to submit scholarly papers based on original, unpublished work having maximum page length of eight (08) in Springer AISC Conference format through EDAS Paper Submission Link:

    Important Dates:

    Symposium Dates: 26-27 February 2019

    Submission Opens: 1st July 2018

    Submission Deadline : 30th November 2018

    Acceptance/Rejection Notification: 15th  January, 2019

    Registration: 31st January 2019

    Copyright and Camera Ready Submission: 31st January 2019

    The organizers also solicit your gracious support in circulating this CFP among your students, colleagues and scientific/research community to give it higher visibility.