Important Dates:
Paper submission deadline: 06/26/2026
Notification of Decisions: 07/18/2026
Camera Ready Papers: TBD
Workshop Event: TBD
Submission link :
The submission link: https://openreview.net/group?id=MICCAI.org/2026/Workshop/MISO
Scope of the Workshop:
Spatial omics is transforming biomedical research by enabling the joint profiling of gene or protein expression and spatial tissue organization. This integration offers unprecedented insights into tissue architecture, cellular interactions, and disease mechanisms. However, traditional spatial omics methods are constrained by high experimental costs, limited scalability, and the underuse of morphological information in image data. Recent advances in medical image analysis, deep learning, and computer vision present new opportunities to overcome these limitations. AI models now enable virtual spatial transcriptomics, where gene expression is inferred directly from histology images, and 3D spatial reconstructions from 2D slices expand analysis beyond flat tissue representations. These innovations reduce experimental burden while enhancing interpretability and translational potential. The MISO workshop aims to provide the first MICCAI forum dedicated to image-based spatial omics, emphasizing the synergy between medical image computing and spatial biology.
Topics:
Topics include but are not limited to the medical image analysis and machine learning methods for:
Image-to-transcriptome modeling
Multimodal tissue representation and registration
Deep learning architectures for spatial biology
Clinical translation of spatial omics via imaging
Interpretability and generalization challenges
Dataset construction and benchmarking
Optical imaging and/or microscopy imaging
Biomedical optics
Virtual microscopy
Biological and pathological image analysis
Digital pathology
Image compression, optical sensing, compressive sensing
Computational Imaging
Super resolution microscopy
Multi-modal microscopy
Spatial biology
Spatial transcriptomics
Spatial proteomics
Submission Format:
In general, the format requirements are the same as MICCAI 2026 main conference.
Modification to manuscript template: 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.
Manuscripts should be up to 10-pages (8-pages (text, figures and tables) plus up to 2 pages of references).
The 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.
Domain conflicts: To avoid conflict of interest among the authors, reviewers and meta-reviewers, all co-author information and a complete and accurate list of domain conflicts must be entered in the submission form by the submission deadline. For the same reason (to avoid conflict of interest during the review process), the author list must be complete at submission time.
Paper Publication:
Accepted papers will be published by Springer Nature as a part of the MICCAI Satellite Events joint LNCS proceedings. Among the accepted full papers, MISO will give awards to the best papers with certification.
Expired: Note that the review process will be through OpenReview this year based on MICCAI's requirements
CMT ACKNOWLEDGMENT:
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.