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Radhika Sethuraman
Observed names:
Radhika Sethuraman (23963421),
Sethuraman, Radhika
Institution:
Saveetha University
Observed institution:
Saveetha University
ORCID:
0009-0002-7005-0647
Observed ORCID:
0009-0002-7005-0647
OpenAlex ID:
A5116047647
AI-Driven Brain Tumor Classification Using Machine Learning and Feature Extraction Techniques for Real-Time Diagnosis
2025
·
Radhika Sethuraman
, Gururama Senthilvel P
·
6
AI-Powered Brain Tumor Classification: Optimizing Accuracy and Speed with PHOG, SCHF and Machine Learning Models
2025
·
Radhika Sethuraman
, Gururama Senthilvel P
·
5
NeuroFusionNet: A Hybrid Deep Learning Framework for Multimodal Brain Tumor Classification
2026
·
Radhika Sethuraman
, Gururama Senthilvel P
, et al.
·
3
Neural Tribunal: Adjudicating Pretrained Architectures for Tumor Cognition on Brain MRI
2025
·
Radhika Sethuraman
, Gururama Senthilvel P
, et al.
·
3
A Hybrid CNN-Segmentation Framework for Localized Brain Tumor Classification
2025
·
Radhika Sethuraman
, Gururama Senthilvel P
, et al.
·
International Conference on Circuits, Controls and Communications (CCUBE)
·
3
Optimized Multi-Modal AI Framework for Brain Tumor Detection and Classification
2025
·
Radhika Sethuraman
, Gururama Senthilvel P
·
International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
·
3
A Validation Perspective on Random Forest for Precise Remaining Useful Life Prediction
2024
·
Keren Persis P
, Radhika Sethuraman
, et al.
·
IEEE International Conference on Computational Intelligence and Communication Networks (CICN)
·
3
Boosting Brain Tumor Classification Accuracy via Data Augmentation and GAN-Based Synthesis
2025
·
Radhika Sethuraman
, Gururama Senthilvel P
, et al.
·
1
Challenging deep learning universality: a complete evaluation of conventional machine learning and deep learning in classifying brain tumors using magnetic resonance imaging
2026
·
Radhika Sethuraman
, Gururama Senthilvel Pandiarajan
, et al.
·
PeerJ Computer Science
HO-ViT: An Efficient and Robust Brain Tumor MRI Classification Model with Hybrid Optimization
2026
·
S, Padmakala
, P, Gururama Senthilvel
, et al.
·
AIP Publishing
Supplementary Document: HO-ViT Implementation Guide
2026
·
Sethuraman, Radhika
, P, Gururama Senthilvel
, et al.
·
AIP Publishing
Supplementary Document: HO-ViT Implementation Guide
2026
·
Radhika Sethuraman (23963421)
, Gururama Senthilvel P (23963424)
, et al.
·
Figshare
HO-ViT: An efficient and robust brain tumor MRI classification model with hybrid optimization
2026
·
Radhika Sethuraman
, Gururama Senthilvel P
, et al.
·
AIP Advances
Supplementary Software for HO-ViT: Hybrid Optimization-Based Vision Transformer for Brain Tumor MRI Classification
2026
·
Admin, AIP
, Sethuraman, Radhika
, et al.
·
Figshare
Optimized Learning on Brain Tumor Classification by JPEG Coefficient and Gabor Filters
2025
·
Radhika Sethuraman
, Gururama Senthilvel P
Multimodal Deep Learning for Fine-Grained Brain Tumor Subtype Classification
2025
·
Radhika Sethuraman
, Gururama Senthilvel P
, et al.
Improving Brain Tumor Classification Through Advanced Image Enhancement Techniques
2025
·
Radhika Sethuraman
, Gururama Senthilvel P
, et al.
·
International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)
Machine Learning-based Brain Tumor Classification using ACCF and BPPF Features with Linear Regression, Naïve Bayes, and Additive Regression
2025
·
Radhika Sethuraman
, Gururama Senthilvel P
·
International Conference on Innovative Data Communication Technologies and Application (ICIDCA)
Optimized Machine Learning Framework for Brain Tumor Detection and Classification Using Fuzzy-Based Feature Extraction
2025
·
Radhika Sethuraman
, Gururama Senthilvel P
AI-Driven Brain Tumor Detection: Optimizing PHOGF and SCHF Features with Bayesian, Gaussian, and Boosting Classifiers
2025
·
Radhika Sethuraman
, Gururama Senthilvel P
Enhanced Ai-Driven Framework for Brain Tumor Detection and Classification by JPEGCF and Gabor-Based Feature Extraction
2025
·
Radhika Sethuraman
, Gururama Senthilvel P
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Works count:
21
Citation count:
27
H-index:
3
I10-index:
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