Computer Vision for Microscopy Image Analysis (CVMI 2024) Call for Papers


Call for Papers: Computer Vision for Microscopy Image Analysis (CVMI 2024)


9th IEEE Workshop on Computer Vision for Microscopy Image Analysis (CVMI)
will be held in conjunction with CVPR 2024. 

The emphasis of the
2024 CVMI workshop will be leveraging the advances in large
foundational models (LFMs) to improve the multimodal analysis of
microscopy and omics data with enhanced explainability.


This workshop intends to draw more visibility and interest to this
challenging yet fruitful field, and establish a platform to foster
in-depth idea exchange and collaboration. Authors are invited to
submit original and innovative papers. We aim for broad scope, topics
of interest include but are not limited to: leveraging large
foundational models (LFMs) for 


    Data: microscopy image generation, annotation, augmentation,
    enhancement, open-source microscopy image datasets, analysis
    software and benchmarking.

    Analysis: object detection, segmentation, classification, image
    stitching and registration, object tracking, event detection,
    shape analysis, texture analysis, 3D analysis, disease
    classification and prediction, novel machine learning (ML) methods
    (e.g., domain adaptation, out of distribution capabilities, LFMs)
    for advanced microscopy analytics, with explainability and
    interpretability, and integration of ML with domain knowledge.

    Multimodal analysis: integration of microscopy with diverse data
    types including omics, for new knowledge discovery, disease
    classification and prediction, and to track disease progression
    and drug response.

    Applications of microscopy image analysis: AI-based systems for
    cancer scoring, systems for integrating omics with imaging for
    disease understanding and treatment, system design to connect big
    microscopy image data to knowledge.


Accepted papers will be included in the CVPR proceedings, on IEEE
Xplore, and on CVF website.

Paper Submission Deadline: March 22nd  2024, 11:59:59 Pacific Time. 
Link to submission system:

Workshop website: