Author

Mostafa Nazarpour-Servak

Shiraz University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Ali AzimiiD· 1 shared Mohammad Hossein NowroozzadehiD· 1 shared Neda TaghinezhadiD· 1 shared Tahereh MahmoudiiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperBioengineering

Ali AzimiORCID

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1 paper

Recent·Most cited

Attcatvgg-Net: an Explainable Multioutput Deep Learning Framework for Cataract Stage Classification and Visual Acuity Regression using Multicolor Fundus Images

Mostafa Nazarpour-Servak, Neda Taghinezhad, Tahereh Mahmoudi, Ali Azimi, Mohammad Hossein Nowroozzadeh

This paper develops AttCatVgg-Net, a deep learning model that classifies cataract stages and predicts visual acuity using multicolor fundus images, achieving high accuracy and strong correlation with actual VA.

bioRxiv · Oct 25, 2025 · PreprintBioengineering