Statistics and Data Science in Imaging

Statistical Methods in Imaging (SMI) Conference Series Highlights

Manuscript Submission Window: Open

Conference deadlines: At the time of submission of contribution to the conference, please check the appropriate box if interested in submitting a manuscript for consideration in the Special Issue of SDSI. All keynote/invited/student-paper/poster contributions are eligible.

The SMI conference series represents the annual conference of the Section on Statistics in Imaging (SI) of the American Statistical Association (ASA), the largest professional association for American statisticians. The annual conference aims to promote education and research for the scientific analysis of all kinds of imaging data.  The event brings together investigators from students to established researchers who are working on statistical, mathematical, and machine learning methods and applications in a diverse array of imaging science, including, but not limited to, biomedical imaging, digital pathology, single cell and spatial transcriptomics, satellite imaging, forensic imaging, astronomy, remote sensing, and materials science.

The SDSI Special Issue on SMI Conference Series Highlights will feature research contributions from the SMI annual conferences. All conference contributions, including keynote and invited talks, student paper presentations and posters, are eligible for submission to this special issue of SDSI. Manuscripts will be peer-reviewed as with all regular submissions to the journal and need to meet the same requirements and standards as that of regular submissions. In addition to the types of articles published by the Journal, as described below, short-papers on high-quality research can also be submitted for consideration in this Special Issue.

Statistics and Data Science in Imaging is an open access, international journal publishing original research and reviews on Statistical Analysis of Imaging Data. The primary aim of the journal is to serve as a forum for discussing methodological challenges encountered in the analysis of imaging data and for presenting statistically sound solutions to those challenges. The journal covers a broad spectrum of statistical methods and data science techniques applicable to various imaging domains, including, but not limited to, neuroimaging, medical imaging, satellite imaging, physics, forensic imaging, astronomy, remote sensing, and materials science. The target audience comprises quantitative researchers, including statisticians, engineers, computer scientists, and data scientists, along with imaging researchers in fields such as brain science, radiology, satellite, forensic imaging, environmental studies, who are involved in developing and investigating methods for analyzing imaging data.

Along with methodological research papers, the journal publishes discussion papers, soliciting concise feedback from the statistical imaging community, in-depth reviews of specific topics by leading statisticians and data scientists, case-study papers that highlight applications of statistical methods in imaging data analysis to address real world questions, short communications highlight emerging issues of interest to the statistical community, and best practices papers for pipelines of data pre-processing and analysis to facilitate access to public data repositories and use of statistical software.

For inquiries about the SDSI Special Issue, contact the SDSI Editor-in-Chief or any of the co-Editors.