Evidence map›Paper›PMID 38855262›Full record

ArticleJournal of machine learning research : JMLR2024

Convergence for nonconvex ADMM, with applications to CT imaging.

Rina Foygel Barber, Emil Y Sidky

Abstract read
In one paragraph

Article in Journal of machine learning research : JMLR, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

2 authors.

Rina Foygel BarberDepartment of Statistics, University of Chicago, Chicago, IL 60637, USA.
Emil Y SidkyDepartment of Radiology, University of Chicago, Chicago, IL 60637, USA.

Funding

Advanced iterative image reconstruction for digital breast tomosynthesis - Resubmission 01R01EB026282 · NIBIB · UNIVERSITY OF CHICAGO · PI PAN, XIAOCHUAN, SIDKY, EMIL Y · 2018 to 2021
$2.1M
Spectral CT metal artifact correctionR01EB023968 · NIBIB · MARQUETTE UNIVERSITY · PI SCHMIDT, TALY GILAT, SIDKY, EMIL Y · 2019 to 2022
$1.4M
NIBIB NIH HHS R01 EB023968NIBIB NIH HHS R01 EB026282
6 · The paper itself

Abstract

The alternating direction method of multipliers (ADMM) algorithm is a powerful and flexible tool for complex optimization problems of the form

Indexed as

ADMMCT imagingnonconvex optimization

Identifiers

PMID38855262
PMCPMC11155492

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.