Conference Information

IS'' 2026: SIAM Conference on Imaging Science

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Submission Date:
2026-05-18 Extended
Notification Date:
Conference Date:
2026-11-16
Location:
Salt Lake City, Utah, USA
Viewed: 1217   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

43.6 / 100
Ranked #3,447 of 5,687 conferences · Top 61%

#176 of 246 in Computer Vision & Pattern Recognition

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
8
Public record completeness (15%)
35

Inputs used: Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-25

Call For Papers

IS'' 2026 (SIAM Conference on Imaging Science) is an academic conference held in Salt Lake City, Utah, USA on 2026-11-16. The paper submission deadline is 2026-05-18 (extended).

Included Themes Biomedical imaging Compressed sensing and sparse representations Deep learning and machine learning methods in imaging High-dimensional data analysis Image acquisition, formation, restoration, reconstruction, segmentation, and recognition Inverse problems in imaging Mathematics of visualization Optimal transport Optimization in imaging applications PDEs and variational methods in image processing Quantum computing Statistical and data science aspects in image processing Tensor algebra and its applications Topological data analysis Uncertainty quantification
Last updated by Dou Sun on

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