Evidence map›Paper›PMID 42587664›Full record

ArticleDiagnostics (Basel, Switzerland)2026

A Robust Dual-Stage Learning-Based Pipeline for Multiclass Segmentation of Multiple Sclerosis Lesions in MRI.

Reza Naghne, Mahdiyeh Rahmani, Ali Kazemi, Mostafa Abdolghaffar, Tina Anjomshoa, Niusha Ghadesi, Abolfazl Zamanirad, Asra Karami, Ebrahim Najafzadeh, Parastoo Farnia

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 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

10 authors.

Reza NaghneMedical Physics and Biomedical Engineering Department, Faculty of Medicine, Tehran University of Medical Sciences, Tehran 1417653761, Iran.ORCID 0009-0003-5407-7978
Mahdiyeh RahmaniMedical Physics and Biomedical Engineering Department, Faculty of Medicine, Tehran University of Medical Sciences, Tehran 1417653761, Iran.
Ali KazemiMedical Physics and Biomedical Engineering Department, Faculty of Medicine, Tehran University of Medical Sciences, Tehran 1417653761, Iran.ORCID 0000-0001-8833-2410
Mostafa AbdolghaffarResearch and Development Department, Parseh Intelligent Surgical Systems Company (Parsiss), Tehran 1418693913, Iran.ORCID 0009-0009-2987-0310
Tina AnjomshoaMedical Physics and Biomedical Engineering Department, Faculty of Medicine, Tehran University of Medical Sciences, Tehran 1417653761, Iran.ORCID 0009-0000-1570-2126
Niusha GhadesiMedical Physics and Biomedical Engineering Department, Faculty of Medicine, Tehran University of Medical Sciences, Tehran 1417653761, Iran.
Abolfazl ZamaniradMedical Physics and Biomedical Engineering Department, Faculty of Medicine, Tehran University of Medical Sciences, Tehran 1417653761, Iran.
Asra KaramiDepartment of Molecular Imaging, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran 1449614535, Iran.
Ebrahim NajafzadehFinetech in Medicine Research Center, School of Medicine, Iran University of Medical Sciences, Tehran 1449614535, Iran.
Parastoo FarniaMedical Physics and Biomedical Engineering Department, Faculty of Medicine, Tehran University of Medical Sciences, Tehran 1417653761, Iran.ORCID 0000-0002-7554-5545

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

classificationdeep learningFLAIRmachine learningMRImultiple sclerosisnnU-NetsegmentationUNETR++

Identifiers

PMID42587664
PMCPMC13464016

What OpenQuestion holds

Textmetadata
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.