Call for Papers
The workshop considers two types of submissions: (1) long papers up to 8 pages excluding references; (2) extended abstracts up to 4 pages excluding references. We invite both types of submissions for oral and poster presentations during the workshop. Topics include (but are not limited to):
Medical image registration
Organ and lesion segmentation/detection
Image classification with MRI/CT/PET
Medical image enhancement/denoising
Learning robust medical image representation with noisy annotation
Un-/semi-/weakly- supervised medical image analysis
Medical anomaly/out-of-distribution prediction
Robustness and generalization of medical computer vision systems
Longitudinal study with computer vision
Life-long learning and active learning in medical computer vision
Multimodal medical image analysis
Generating diagnostic reports from medical images
Embedding medical knowledge in computer vision systems
Designing medical computer vision systems coherent with clinical reasoning
Knowledge transfer under various clinical environments
Predicting clinical outcomes from medical image analysis
Designing evaluation protocols under various real-world clinical scenarios
Submitted work can be of preliminary nature and we also invite perspectives and position papers to generate discussions about recent trends and major challenges. The accepted long papers will be published in conjunction with ICCV 2021 proceedings.
Acceptance and selection of orals and posters will be based on the fit to the workshop and decisions will be made by the program and organization committee.
Submission Instructions
Submission using CMT submission system
Please use ICCV 2021 submission template
Format
Authors should submit a PDF version that needs to be ANONYMOUS. The paper should contain a brief description of the work including context, methodology, and results.
Submitting a paper to the workshop means that if the paper is accepted at least one author commits to presenting it at the workshop.