ABOUT
Computational Pathology is a multidisciplinary field encompassing the convergence of Digital Pathology, Medical Image Analysis, Computer Vision, and Machine Learning. The vast amount of information in multi-gigapixel histopathology images positions digital pathology as an ideal use case for advanced image analysis methods. Consequently, deep learning and artificial intelligence have played a pivotal role in advancing computational pathology research in recent years. Furthermore, the integration of pathology data with other medical examinations holds great promise for enhancing diagnostic accuracy and treatment outcomes.
To explore these possibilities with the MICCAI community, after three editions of workshops in Computational Pathology, since 2024, COMPAY has expanded its scope under the new name COMPAYL [kuhm·pile], with a renewed focus on integrating pathology with other data modalities, including language, omics, and radiology, to support precision medicine and translational research.
PREVIOUS EDITIONS
KEYNOTE SPEAKERS
Charité - Universtätsmedizin Berlin
Norman Zerbe
CALL FOR PAPERS
For COMPAYL 2025, we again invite researchers to submit their work in computational pathology in general and in combination with other modalities, such as (but not limited to) language, omics, and radiology. This year, we specifically encourage submissions that focus on spatial biology via spatial transcriptomics or spatial proteomics (named Method of the Year 2024 by Nature) or with a focus on clinical translation and validation of developed applications.
Submissions unrelated to computational pathology or histopathology will be desk-rejected.
Topics of interest include, but are not limited to:
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Artificial intelligence and foundation models for multimodal data analysis, including pathology
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Integration of digital pathology with genomics, radiology, and textual data
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Advances in spatial transcriptomics and whole-slide image analysis
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Techniques for stain normalization, tissue structure segmentation, and image registration
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Developments in immunohistochemistry scoring, including multiplexing
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Innovations in local and cloud-based analysis tools
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Research on predictive and prognostic tissue biomarkers
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Strategies for integrating and validating computational pathology in clinical workflows
SUBMISSIONS
Authors should prepare a manuscript of no more than 8 pages, including images and tables (with possible extra pages containing only cited references). Supplementary material can be added to the paper, but reviewers are not expected to read it. The formatting guidelines are the same as for the Journal of Machine Learning Research (JMLR). Please ensure your submissions comply with the provided guidelines.
Manuscripts can be submitted online through the OpenReview system. All submissions will be peer-reviewed (single-blind). All accepted papers will be published in Proceedings of Machine Learning Research (PMLR).
IMPORTANT DATES
Submission deadline: June 30, 2025* [NEW DATE]
Author notification: July 22, 2025* [NEW DATE]
Camera-ready deadline: August 11, 2025* [NEW DATE]
*All deadlines are at 11:59 PM AOE
ORGANIZERS
Linda Studer
Radboudumc, NL
Francesco Ciompi
Radboudumc, NL
Nadieh Khalili
Radboudumc, NL
Khrystyna Faryna
Radboudumc, NL
Sara P. Oliveira
NKI, NL
Poh Sheng Yeong
A*STAR, Singapore
Mai Chan Lau
A*STAR, Singapore
Hao Chen
HKUST, Hong Kong
Ziyi Liu
HKUST, Hong Kong
Biagio Brattoli
Lunit, South Korea
PROGAM COMMITTEE
Amjad Khan | Postdoctoral Researcher | Universität Bern | CH
Adam Shepard | Postdoctoral Researcher| University of Warwick | UK
Anirban Mukhopadhyay | Head of Research Group | TU Darmstadt | DE
Behnaz Elhaminia | Research Fellow | University of Warwick | UK
Biagio Brattoli | Research Scientist | Lunit Inc. | KR
Catherine Chia | PhD candidate | Erasmus MC | NL
Clément Grisi | PhD candidate | Radboudumc | NL
Fayyaz Minhas | Associate Professor | University of Warwick | UK
Felicia Wee | Research Officer | A*STAR | SG
Francesco Ciompi | Associate Professor | Radboudumc | NL
Frédérique Meeuwsen | Postdoctoral Researcher | Radboudumc| NL
Georg Wölflein | PhD candidate | TU Dresden | DE
Gerry Koons | Postdoctoral Researcher | Radboudumc | NL
Hao Lu | Postdoctoral Researcher | Wake Forest University | USA
Henning Müller | Full Professor | HES-SO Valais-Walli | CH
Hikmat Khan | Senior Researcher | The Ohio State University | USA
Inti Zlobec | Full Professor | Universität Bern | CH
Ivan Slootweg | PhD candidate | Radboudumc | NL
Jana Lipkova | Assistant Professor | University of California Irvine | USA
Jaime S. Cardoso | Full Professor | University of Porto | PT
Khalid Niazi | Associate Professor | The Ohio State University | USA
Linda Studer | Postdoctoral Researcher | Radboudumc | NL
Mai Chan Lau | Assistant Principal Investigator | A*STAR | SG
Mark Eastwood | Postdoctoral Researcher| University of Warwick | UK
Mitko Veta | Associate Professor | Eindhoven University of Technology | NL
Moritz Fuchs | Postdoctoral Researcher | TU Darmstadt | DE
Nadieh Khalili | Assistant Professor | Radboudumc | NL
Rachel Fincham | Postdoctoral Researcher | Barts Cancer Institute | UK
Ruisi (Iris) Li | Research Staff | A*STAR | SG
Salma Dammak | Postdoctoral Researcher | Radboudumc | NL
Sander Moonemans | PhD candidate | Eindhoven University of Technology | NL
Sara P. Oliveira | Postdoctoral Researcher | NKI | NL
Susu Sun | PhD candidate | University of Erlangen-Nuremberg | DE
Shan Raza | Associate Professor | University of Warwick | UK
Sophia J. Wagner | PhD candidate| TU München | DE
Tim Lenz | PhD candidate | TU Dresden | DE
Usama Sajjad | PhD candidate | The Ohio State University | USA
Veronica Vilaplana | Associate Professor | UPC | ES
Ziyi Liu | Postdoctoral Researcher | HKUST | HK
