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Suman Rekha Dip

Malaviya National Institute of Technology JaipurIN
ORCID0009-0003-9652-3518
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via OpenAlex

Citations
4

via OpenAlex

Publications
10

About

Suman Rekha Dip is a researcher affiliated with the Malaviya National Institute of Technology Jaipur. She has authored six publications between 2025 and 2026, focusing on graph-based methods for brain tumor diagnosis and classification, as well as Alzheimer's disease stage analysis. Her research explores the application of graph theory and spectral features to improve the accuracy and interpretability of biomedical imaging and diagnostics.

Research areas

  • Artificial intelligence
  • Computer science
  • Pattern recognition (psychology)
  • Graph
  • Feature (linguistics)

Publications (10)

Sorted by most cited.

  1. Enhanced brain tumor identification using graph Fourier transform

    Computers and Electrical Engineering2025journal article

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    2 cites

  2. Enhanced Brain Tumor Detection: Imposing Ensemble Machine Learning with Maximum Voting

    2025

    View DOI
    1 cites

  3. Enhancing Brain Tumor Detection in MRI with Feature Fusion and SMOTE-Optimization Techniques

    2025

    View DOI
    1 cites

  4. Explainable brain tumor diagnosis with SHAP-enhanced graph wavelet features on FPGA

    Computers and Electrical Engineering2026journal article

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    0 cites

  5. Structural Connectivity Modeling With Graph Curvature Features for Brain Tumor Analysis

    IEEE Sensors Letters2026journal article

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    0 cites

  6. Modified Local Binary Pattern-Based Brain Tumor Detection for Resource-Constrained IoT and Industrial Electronics Platforms

    2026

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    0 cites

  7. Hardware-based brain tumor classification using graph Laplacian spectral features

    Brain Research2026journal article

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    0 cites

  8. Graph Laplacian-Based Framework for Classifying Alzheimer’s Disease Stages Using Structural MRI

    IEEE Sensors Letters2025journal article

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    0 cites

  9. FPGA-Based Implementation Using Graph Spectral Features for Multiclass Brain Tumor Classification

    IEEE Sensors Journal2025journal article

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    0 cites

  10. Brain Tumor Detection via HOG-FOS Feature Fusion with LDA and SMOTE: An Explainable AI Approach

    2024

    View DOI
    0 cites