ICCV 2021 Workshop on Computer Vision for Automated Medical Diagnosis Call for Papers



ICCV 2021 Workshop on Computer Vision for Automated Medical Diagnosis 
Deadline extension: July 31 AoE, 2021



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.


Important dates:

Submissions: Jul. 31, 2021, AoE 

Notifications: Aug. 8, 2021

Camera-ready: Aug. 12, 2021

Workshop: Oct. 17, 2021