IPMI: Information Processing in Medical Imaging

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2024 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
IPMI 2023 Information Processing in Medical Imaging
Jun 19, 2023 - Jun 23, 2023 San Carlos de Bariloche, Argentina Nov 18, 2022
IPMI 2019 Information Processing in Medical Imaging
Jun 2, 2019 - Jun 7, 2019 Hong Kong Dec 13, 2018 (Dec 6, 2018)
IPMI 2017 Information Processing in Medical Imaging
Jun 25, 2017 - Jun 30, 2017 Appalachian State University, Boone, NC Dec 15, 2016
IPMI 2015 The 24th biennial International conference on Information Processing in Medical Imaging
Jun 28, 2015 - Jul 3, 2015 Scotland Dec 18, 2015 (Dec 11, 2015)
IPMI 2009 21st International Conference on Information Processing in Medical Imaging
Jul 5, 2009 - Jul 10, 2009 Williamsburg, VA, USA Jan 12, 2009
 
 

Present CFP : 2023

The primary focus of IPMI is to disseminate, showcase, and exchange the latest methodological advancements in medical imaging. The hallmark of any "IPMI paper” is solving biomedical imaging information processing challenges with a sound foundation of theory and/or algorithms. IPMI favours a critical spirit where all contributions are subject to an extended presentation format and a discussion enriched by the in-depth analysis by study groups. IPMI is enriched by a retreat atmosphere where everyone is welcome to share their expertise and talents. Therefore, IPMI is today widely recognized as a premier international forum for the presentation of cutting-edge research in the medical imaging field including yet not limited to the following topics:

* Functional and molecular imaging methods
* Biological imaging and digital pathology methods
* Image-guided interventions and surgery
* Imaging genomics, imaging omics
* Image registration and segmentation
* Image acquisition and reconstruction
* Image information fusion and synthesis
* Computer-aided diagnosis and treatment
* Statistical and computational geometric modelling
* Computational anatomy and physiology
* Visualization and physicalization in imaging
* Multidimensional, multimodality, multiscale imaging problems
* Novel deep learning methods for medical imaging
* Inference and learning under uncertain, incomplete or limited data
* Uncertainty modelling and quantification
* Representation learning, image synthesis, and generative modelling
* Transfer learning, domain adaptation, and data harmonization
* Interpretable, explainable, and causal learning
* Statistical and mathematical foundations of imaging science
* Geometric learning and geometric deep learning
* Foundations of deep learning and their evaluation
* Fairness of machine learning in medical imaging

IPMI 2023 will feature an exciting agenda of scientific presentations and attract outstanding researchers from throughout the world. Bariloche will provide a pleasant and informal scenery and context conducive to in-depth scientific exchange and lively debate. Furthermore, special attention will be paid to the inter-generational exchange fostering discussions which will provide newcomers to the field with a rich idea of the field's history.

Proceedings will be published as a volume in the Springer Lecture Notes Computer Science (LNCS) series.
 

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