3rd International Workshop on

Multiscale Multimodal Medical Imaging (MMMI 2022)

In conjunction with 25th International Conference on Medical Image Computing and Computer Assisted Intervention,
September 22nd, 2022 8:00 AM to 11:30 AM (SGT time), Singapore

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Workshop Updates

October 13th: Video recordings of the workshop keynote talk and presentations are now available at: YouTube.

October 13th: Free online access to the workshop proceeding can be downloaded here. Note that the full proceeding is only accessible directed from this website, and will be available for 4 weeks.

September 8th: Full program of the workshop is now available, which can also be downloaded here.

August 12th: Inivtation letter for MMMI 2022 is now available for downloading here.

July 22nd: In response to the multiple requests, we have extended the deadline for submission to July 31st.

July 12th: This year we will have the honor to invite Prof. Arman Rahmim from The University of British Columbia for his keynote speech on "Towards Digital Twins for Precision Medicine"!

April 5th: Submission portal is now open.

Scope

The International Workshop on Multiscale Multimodal Medical Imaging (MMMI) aims at tackling the important challenge of acquiring and analyzing medical images at multiple scales and/or from multiple modalities, which has been increasingly applied in research studies and clinical practice. MMMI offers an opportunity to present: 1) techniques involving multi-modal image acquisition and reconstruction, or imaging at multi-scales; 2) novel methodologies and insights of multiscale multimodal medical images analysis, including image fusing, multimodal augmentation, and joint inference; and 3) empirical studies involving the application of multiscale multimodal imaging for clinical use.

Objective

Facing the growing amount of data available from multiscale multimodal medical imaging facilities and a variety of new methods for the image analysis developed so far, the MMMI workshop aims to move forward the state of the art in multiscale multimodal medical imaging, including both algorithm development, implementation of the methodology, and experimental studies. The workshop also aims to facilitate more communications and interactions between researchers in medical image analysis and machine learning, especially expertise in data fusion, multi-fidelity methods, and multi-source learning.

Topics

Topic of submissions to the workshop include, but not limited to:
  • Image segmentation techniques based on multiscale multimodal images.
  • Novel techniques in multiscale multimodal image acquisition and reconstruction.
  • Registration methods across multiscale multimodal images.
  • Fusion of images from multiple resolutions and novel visualization methods.
  • Spatial-temporal analysis using multiple modalities.
  • Fusion of image sources with different fidelities: e.g., co-analysis of EEG and fMRI.
  • Multiscale multimodal disease classification and prediction using supervised or unsupervised methods.
  • Atlas-based methods on multiple imaging modalities.
  • Cross-modality image generative methods: e.g., generation of synthetic images between CT and MR.
  • Novel radiomics methods based on multiscale multimodal imaging.
  • Shape analysis on images from multiple sources and/or multiple resolutions.
  • Graph methods in medical image analysis.
  • Benchmark studies for multiscale multimodal image analysis: e.g., using electrophysiological signals for validation of fMRI data.
  • Multi-view machine learning for cancer diagnosis and prognosis.
  • Integrated radiology, pathology, genomics analysis via learning algorithms.
  • New image biomarker identification through multiscale multimodal data.

    • History of MMMI

    The 1st International Workshop on Multiscale Multimodal Medical Imaging (MMMI 2019) mmmi2019.github.io recorded 80 attendees and received 18 full-pages submissions, with 13 accepted and presented. The theme of MMMI 2019 is on the emerging techniques for imaging and analyzing multi-modal, multi-scale data. The 2nd MMMI workshop was merged with MLCDS 2021 mcbr-cds.org, which recorded 58 attendees and received 16 full-pages submissions, with 10 accepted and presented. The theme of MLCDS 2021 was the role and prospect of multi-modal multi-scale imaging in clinical practice. As multi-modal multi-scale medical imaging is a fast-growing field, we are continuing the MMMI workshop to provide a platform for presenting and discussing novel research from both the radiology and computer science communities. In MMMI 2022, we will emphasize the current research and vision on the concept of “multi-scale,” as the field has been recognizing the importance of medical images across scales for the potential of a more comprehensive and holistic understanding of the imaging target.

    Cooperating Organization