Nawel Benchaabane | Medical Image Analysis | Research Excellence Award

Dr. Nawel Benchaabane | Medical Image Analysis | Research Excellence Award

Dr Chef De Projects | Audensiel Technologies | France 

Dr. Nawel Benchaabane is a researcher at Audensiel Technologies, Paris, France, specializing in artificial intelligence for healthcare and medical decision support. Her research focuses on AI-driven gait analysis, medical image understanding, and visual question answering for clinical diagnosis. She has authored 2 Scopus-indexed publications, with 17 citations and an h-index of 1, reflecting early but growing scientific impact. Her work has been published in high-impact venues such as Scientific Reports, IEEE EMBS Conference, and Intelligent Systems with Applications. Through interdisciplinary collaborations between AI and medical domains, her research contributes to improved diagnosis, patient monitoring, and data-driven healthcare innovation with tangible societal benefits.

Citation Metrics (Scopus)

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Citations
17

Documents
2

h-index
1

🟦 Citations 🟥 Documents 🟩 h-index

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Featured Publications

Prof Dr. Guoping Yan | Biomedical Imaging | Best Researcher Award

Structural reconstruction synthesis of highly luminous water-stable CsPbBr3@CsPb2Br5@DSPE core-shell perovskite nanocrystals for bioimaging, pattering, and LEDs

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    Journal: Journal of Materials Science and Technology
    Year: 2025

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Lead-Doped Cesium Manganese Halide Perovskite Nanocrystals for Light-Emitting Diodes: Room-Temperature Synthesis, Energy Transfer, and Phase Modulating

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Synthesis and Characterization of Sulfonamide-Containing Naphthalimides as Fluorescent Probes

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