Evidence map›Paper›PMID 41007242›Full record

ArticleBioengineering (Basel, Switzerland)2025

ErisNet: A Deep Learning Model for Noise Reduction in CT Images.

Fabio Mattiussi, Francesco Magoga, Andrea Cozzi, Salvatore Ferraro, Gabrio Cadei, Chiara Martini, Svenja Leu, Ebticem Ben Khalifa, Alcide Alessandro Azzena, Marco Pileggi and 2 more

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2025. 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

12 authors.

Fabio MattiussiImaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), 6900 Lugano, Switzerland.ORCID 0009-0006-6432-6722
Francesco MagogaImaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), 6900 Lugano, Switzerland.ORCID 0000-0002-7264-1072
Andrea CozziImaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), 6900 Lugano, Switzerland.ORCID 0000-0003-4922-7065
Salvatore FerraroImaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), 6900 Lugano, Switzerland.
Gabrio CadeiImaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), 6900 Lugano, Switzerland.
Chiara MartiniDepartment of Medicine and Surgery, University of Parma, Maggiore Hospital, 43126 Parma, Italy.ORCID 0000-0002-0877-4954
Svenja LeuImaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), 6900 Lugano, Switzerland.
Ebticem Ben KhalifaImaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), 6900 Lugano, Switzerland.
Alcide Alessandro AzzenaImaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), 6900 Lugano, Switzerland.
Marco PileggiNeurocentro della Svizzera Italiana (NSI), Ente Ospedaliero Cantonale (EOC), 6900 Lugano, Switzerland.ORCID 0000-0002-7691-8999
Ermidio RezzonicoImaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), 6900 Lugano, Switzerland.ORCID 0009-0005-4403-1989
Stefania RizzoImaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), 6900 Lugano, Switzerland.ORCID 0000-0002-5151-0866

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

CT imagesdeep learningmedical imagingneural networknoise reduction

Identifiers

PMID41007242
PMCPMC12467190

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.