Maryem Rhanoui

Researcher

Lyon College

faculty

9 h-index 63 pubs 630 cited

Research Areas

Anomaly Detection Techniques and Applications COVID-19 diagnosis using AI Topic Modeling Service-Oriented Architecture and Web Services Biomedical Text Mining and Ontologies

Links

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OverviewAI-generated summary

Maryem Rhanoui, a faculty member at Lyon College, focuses on anomaly detection techniques and their applications. Her research also encompasses COVID-19 diagnosis using AI, topic modeling, service-oriented architecture, web services, and biomedical text mining with ontologies. Rhanoui's recent work, with a publication in 2025, demonstrates ongoing activity in these areas.

Metrics

  • h-index: 9
  • Publications: 63
  • Citations: 630

Selected Publications

  • NeuroReport-MS: Multi-scale Agentic AI for Automated Clinical Report Generation in Multiple Sclerosis (2025) DOI
  • Deep learning-based anomaly detection in orthopedic medical imaging: A systematic literature review (2025) DOI
  • SSMT-PANBERT: A single-stage multitask model for phenotype extraction and assertion negation detection in unstructured clinical text (2025) DOI
  • Spatial Attention-Enhanced Diffusion Model for Multiple Sclerosis MRI Synthesis (2025) DOI

Collaborators

Researchers in the database who share publications

Benjamin du Sartz de Vigneulles Lyon College 3 shared publications Denis Bourgeois Lyon College 2 shared publications Claude Dussart Lyon College 1 shared publication

Similar Researchers

Based on overlapping research topics

Vidhya Sankarasubbu Arkansas State University
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Jake Erwin University of Arkansas for Medical Sciences
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Joseph VanScoy University of Arkansas for Medical Sciences
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Shaymaa Al‐Shukri University of Arkansas for Medical Sciences
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Md Imran Sarker University of Arkansas at Little Rock
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Thinh Phan University of Arkansas at Fayetteville
Anomaly Detection Techniques and Applications COVID-19 diagnosis using AI
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