Evidence map›Paper›PMID 42583065›Full record

ArticleSIAM journal on imaging sciences2026

Fast Rigid Alignment of Heterogeneous Images in Sliced Wasserstein Distance.

Yunpeng Shi, Amit Singer, Eric J Verbeke

Abstract read
In one paragraph

Article in SIAM journal on imaging sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yunpeng ShiDepartment of Mathematics, University of California at Davis, Davis, CA 95616 USA.
Amit SingerDepartment of Mathematics, Princeton University, Princeton, NJ 08544 USA (amits@math.princeton.edu).
Eric J VerbekeCorresponding authors. Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ 08544 USA (ev9102@princeton.edu).

Funding

Reconstruction of heterogeneous and small macromolecules by cyro-EMR01GM136780 · NIGMS · PRINCETON UNIVERSITY · PI SINGER, AMIT · 2020 to 2023
$1.3M
NIGMS NIH HHS R01 GM136780
6 · The paper itself

Abstract

Many applications of computer vision rely on the alignment of similar but nonidentical images. We present a fast algorithm for aligning heterogeneous images based on optimal transport. Our approach combines the speed of fast Fourier methods with the robustness of sliced probability metrics and allows us to efficiently compute the alignment between two

Indexed as

65D1965Y2068T1068W25fast algorithmimage alignmentoptimal transportsliced Wasserstein

Identifiers

PMID42583065
PMCPMC13459015

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.