4th International Workshop on

Multiscale Multimodal Medical Imaging (MMMI 2023)

In conjunction with 26th International Conference on Medical Image Computing and Computer Assisted Intervention, Vancouver, Canada

Vancouver Convention Center East Building Level 1, Meeting Room 15

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Workshop Updates

October 4th: Full program of the workshop is now online. The workshop will be held at the Vancouver Convention Center East Building Level 1, Meeting Room 15

August 17th: Notification of acceptance has been sent to the primary authors. Submission of camera-ready version of the accepted submission is now open on CMT-"Create Camera Ready Submission". Deadline for camera-ready submission is August 22nd 2023.

August 8th: Due to the large number of submissions we received this year, extra time will be needed for the reviewing process. The notification of acceptance date is delayed to August 16th 2023.

July 13th: In response to mulitple requests, submission deadline has been extended to July 21st 2023.

May 9th: Submission portal is now open.

May 6th: Workshop listed in the MICCAI satelite event program. MMMI 2023 will be held on October 8th PM as a half-day event.

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, this MICCAI workshop aims to move the forward 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 the field of medical image analysis and the field of machine learning, especially with 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 diagnosis/prognosis using supervised or unsupervised methods
  • Atlas-based methods on multiple imaging modalities
  • Cross-modality image generative methods: e.g., generation of synthetic CT/MR images
  • 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 to validate fMRI data
  • Multi-view machine learning for cancer diagnosis and prognosis
  • Integrated radiology, pathology, and genomics analysis via learning algorithms
  • New image biomarker identification through multiscale multimodal data
  • Integrated learning using both image and non-image data

    • History of MMMI

    MMMI 2019 (https://mmmi2019.github.io/) recorded 80 attendees and received 18 8-pages submissions, with 13 accepted and presented. The theme of MMMI 2019 was the emerging techniques for imaging and analyzing multi-modal multi-scale data. The 2nd MMMI workshop was merged with MLCDS 2021 (http://mcbr-cds.org/), recorded 58 attendees, and received 16 8-pages submissions, with 10 of them accepted and presented. The theme of MLCDS 2021 was the role and prospect of multi-modal multi-scale imaging in clinical practice. The 3rd MMMI workshop recorded 64 attendees and received 18 8-pages submissions, with 12 of them accepted and presented. The theme of MMMI 2022 was the novel methodology development for multi-modal fusion. As multi-modal, multi-scale medical imaging is a fast-growing field; we are continuing the MMMI to provide a platform for presenting and discussing novel research from both the radiology and computer science communities.