Deep-Brea3th 2025: 2nd Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in Breast Care

Will be a workshop at MICCAI 2025, 23-27 September, Daejeon, South Korea.

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Breast Cancer
Breast cancer is the most common malignant tumor in women and has a high degree of heterogeneity.
Multimodal Imaging
Medical imaging techniques plays an integral role in the detection and characterization of breast cancer.
Artificial Intelligence
Artificial Intelligence has reignited the interest in automated breast image interpretation.

Deep-Breath will drive your research forward

Present your academic research in a beautiful way. Meet with domain experts to explore potential collaboration opportunities.
  • Efficient & Repeatable
    High-quality peer review, all codes will be made public for scholars to reproduce and promote.
  • Share & Communicate
    Share your research and interact with scholars in the same field.
  • Focused & Broad
    Focuses on breast field and covers hot topics in a wide range of areas including pathology, radiology, artificial intelligence and more.
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Recent Updates

Program

The following is a tentative program:

Location: Daejeon, Sourth Korea

Our amazing keynote speakers are coming soon ...

About Us

Deep-Brea3th 2025: 2nd Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in Breast Care

The Deep-Breath2025 workstation will provide a discussion forum focused on the topic of AI in breast cancer and aims to promote the development of related research areas, to share insights in academic research and clinical practice among clinicians and AI experts, and explore the opportunities and address potential challenges of AI applications in breast health, thus potentially benefiting doctors and patients. The workshop will publish original papers in all areas related to the AI in breast cancer arena including, but not limited to, the following suggested topics:

  • Breast imaging (mammography, ultrasound, MRI, PET/CT, H&E, etc.)
  • Detection, segmentation and classification
  • Breast cancer screening
  • Histological characteristics
  • Medical image registration
  • Multimodal imaging fusion
  • Image synthesis
  • Image reconstruction
  • Risk assessment and prediction
  • Treatment response
  • Drug selection
  • Lymph node status
  • Molecular subtypes
  • Tumor microenvironment
  • Prediction of cancer recurrence
  • Radiomics
  • Reader study
  • Pathology
  • Radiology
  • Natural language processing
  • LLMs
  • Federated learning
  • Swarm learning
  • ...

    • Manuscript Preparation and Submission

    Submissions may be in two tracks:

  • Track 1. Full papers: Submissions must be new work. Papers must be submitted electronically in searchable pdf format following the guidelines for authors and LaTeX and MS Word templates available at Lecture Notes in Computer Science (LNCS). Manuscripts can be up to 8-pages (text, figures and tables) plus up to 2 pages of references. The MICCAI Conference review process is double-blind, i.e. the names of the authors, reviewers, and area chairs are not revealed to each other. Papers must thus be properly anonymized before submission. All submissions will be reviewed by at least three experts with experience of relevance. Accepted papers will be assigned for oral or poster presentation based on review scores, and will be published by Springer Nature as a part of the MICCAI Satellite Events joint LNCS proceedings. For accepted papers, the corresponding/senior authors will need to complete and sign a Consent-to-Publish form on behalf of all the authors. Importantly, after review, some papers will be recommended to high-impact partner journals (indexed by SCI).
  • Track 2. Abstracts: Submissions may be new work or recently published/accepted papers. Abstracts are limited to 2500 characters including spaces, and are to be constructed using the following section headings: Purpose; Materials and Methods; Results; Conclusion. It is recommended that a figure to support your work accompany your submission. Accepted abstracts will be assigned for oral or poster presentation based on review scores, and made publicly accessible on this website.

    • Submissions for both tracks should be submitted via the CMT system: https://cmt3.research.microsoft.com/DeepBreath2025

    Among all the accepted full papers and abstracts, Deep-Breath will give a Best Student Paper award, a Best Workshop Paper award, and a Best Abstract Award, all with electronic certificates.

    Join us to share your academic achievements

    Use AI to change the future with domain experts

    Submit now!

    Important Dates

    • April 1, 2025 Open individual websites
    • May 13, 2025 Open for submissions
    • June 25, 2025 Paper Submission Deadline
    • July 16, 2025 Notification of Paper Decision
    • July 30, 2025 Camera-ready Deadline
    • August 1, 2025 Full Program Available
    • August 15, 2025 Workshop proceedings due
    • Sep 23&27, 2025 Workshop!
    • Sedna Testimonial Avatar

      "AI will eventually replace radiologists in screen-reading."

      Ritse Mann, Radiologist.

    • Sedna Testimonial Avatar

      "Artificial intelligence will potentially assist doctors and benefit patient care."

      Tianyu Zhang, AI Scientist.

    DEEP-BREATH2025 Committee

    Organizing Committee

    Coming soon...

    Technical Committee

    Coming soon...

    Clinical Committee

    Contact

    Please contact us for further questions and comments via email at miccai.deepbreath@gmail.com

                                                               

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