Neda Azarmehr

Medical imaging — University of Sheffield, United Kingdom

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Neda Azarmehr University of Sheffield United Kingdom
34 ScienceLeadR Reputation 34
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Medical imaging

Subspecialties: Informatics

Full career – Last 3 years

Main Topics

Publications and Clinical Studies

Publications – Clinical Studies

Profile data updated on

Organizations

Career arc: 2020 - 2025

Source: PubMed

University of Sheffield

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Publications Synthesis

Sources: PubMed, OpenAlex

Breakdown by type

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Latest Publications

5 most recent indexed articles

Source: Pubmed

Title Journal Year Citations
Exploring the feasibility of AI-based analysis of histopathological variability in salivary gland tumours.
cells, salivary glands, learning, artificial intelligence
Sci Rep20250
Active learning for left ventricle segmentation in echocardiography.
computers, echocardiography, software, learning
Comput Methods Programs Biomed20243
Automated mitral inflow Doppler peak velocity measurement using deep learning.
research design, deep learning, electronic data processing
Comput Biol Med20243
A digital score of peri-epithelial lymphocytic activity predicts malignant transformation in oral epithelial dysplasia.
neoplasms, pathology, deep learning, work, learning, artificial intelligence, tissues, mouth neoplasms, epithelium, prognosis
J Pathol202312
Deep Active Learning for Left Ventricle Segmentation in Echocardiography
echocardiography, learning
Lecture notes in computer science20230

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