Full Papers
Previously unpublished papers with substantial technical merit, limited to 8 pages of main text + 2 pages of references in LNCS format. Accepted papers will be published in Springer LNCS proceedings.
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CMMCA2026 2026
The 5th Workshop on Computational Mathematics Modeling in Cancer Analysis
Sep 27 2026Official workshop site Site reachable
The CMMCA 2026 workshop is a satellite event of MICCAI 2026 focused on advancing computational mathematics modeling for cancer analysis. It brings together mathematicians, biomedical engineers, computer scientists, and physicians to develop interpretable, theory-driven methods for analyzing multimodal cancer data—including radiographic, pathology, genomics, and proteomics data—with applications in clinical tasks like subtype classification, prognostic prediction, and tumor modeling.
Key deadlines
Verified September 9, 2026Full paper
June 29, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
June 29, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Extended Abstracts
Reports on ongoing work, preliminary results, challenge reports, dataset descriptions, or novel ideas, limited to 4 pages of main text + 2 pages of references in LNCS format. Accepted abstracts will be presented at the workshop but not published in the proceedings.
Research areas in scope
01
Computational Mathematics Modeling Techniques
Deep LearningDifferential EquationsMulti-scale ModelingCellular AutomatonSpatial Graph NetworkNonlinear Dynamical SystemsProbability Methods
02
Applications in Cancer Analysis
Interpretability-based learning mathematics theory for cancer imaging analysisMedical image analysis of anatomical structures/functions and tumorsComputer-aided tumor detection/diagnosisMulti-modality fusion for cancer analysis, diagnosis, and surgery/treatment plansMolecular/pathologic/cellular image analysis in the microenvironment, immunity, invasion, treatment, and resistanceComputational modeling characterizing tumor growth, metabolism, and evolutionTopological tumor graphs for prognosis analysisBiologically-based mathematical modeling in tumor vasculature and angiogenesisSpatiotemporal modeling for heterogeneity and evolution of the tumor microenvironmentDigital twin for clinical trial design, precision medicine, and drug discovery
Policies worth checking twice
- All submissions must be double-blind reviewed.
- Papers must adhere strictly to the MICCAI 2026 and LNCS formatting guidelines; failure to comply results in immediate rejection.
- At least one author of each accepted paper must register and present at the workshop.
- All co-author information and domain conflicts of interest must be fully disclosed in the submission form; incomplete disclosure may lead to rejection.
- Camera-ready submissions must include a completed copyright form, camera-ready PDF, and source files (LaTeX or Word).
- An open-access version of accepted papers will be published on the MICCAI Society website one week before the conference; authors must file patents before this release.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026