A novel interpretable classification of lumbar spinal stenosis using a cascade deep learning approach and T2-weighted MRI.

The proposed framework offers a reliable, interpretable, and effective tool for automated LSS detection and grading, with the potential for future improvements in underdiagnosis and multilevel spine disease analysis.

Authors

Mohammad Khoshnevisan
Amin Hessam (ORCID: https://orcid.org/0009-0000-2789-8736)
B. Moshiri
Mohsen Nabiuni (ORCID: https://orcid.org/0000-0002-0841-6612)
Amirmohammad Bahri
Jaber Hatam Parikhan
Mohammad Tabarestani
Niloufar Delfan

Institutions

Northeastern University (US)
University of Waterloo (CA)
Iran University of Medical Sciences (IR)
University of Tehran (IR)
Antalya Bilim University (TR)
Tehran University of Medical Sciences (IR)

Publication Details

Journal: PubMed
Published: 2026-03-27
DOI: https://doi.org/10.3171/2025.10.spine25878
Primary Topic: Medical Imaging and Analysis
Type: article
Field-Weighted Citation Impact: 0.00

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article

A novel interpretable classification of lumbar spinal stenosis using a cascade deep learning approach and T2-weighted MRI.

Mohammad Khoshnevisan, Amin Hessam, B. Moshiri, Mohsen Nabiuni et al.

Mar 27, 2026

PubMed

Medical Imaging and Analysis

article

A novel interpretable classification of lumbar spinal stenosis using a cascade deep learning approach and T2-weighted MRI.

Mohammad Khoshnevisan, Amin Hessam, B. Moshiri, Mohsen Nabiuni, Amirmohammad Bahri, Jaber Hatam Parikhan, Mohammad Tabarestani, Niloufar Delfan

March 27, 2026article en

Abstract

The proposed framework offers a reliable, interpretable, and effective tool for automated LSS detection and grading, with the potential for future improvements in underdiagnosis and multilevel spine disease analysis.

PubMed

Northeastern University (US), University of Waterloo (CA), Iran University of Medical Sciences (IR), University of Tehran (IR), Antalya Bilim University (TR), Tehran University of Medical Sciences (IR)

Openalex Percentile: Top 4%

Medical Imaging and Analysis

DOI Source OpenAlex

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