Citation data

OpenCitations

Works that cite this article, indexed by OpenCitations.

22 resultsUpdated October 20, 2026

A Hybrid ViT-GRU Approach for Brain Tumor Detection and Classification in MRI Images with Explainable Artificial Intelligence

2024 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON) (2024)

Md. Mahfuz Ahmed; Md. Maruf Hossain; Md. Rakibul Islam; S M Mahim; Md. Rakibul Hasan Rakib; Ronok Hashan; Nadim Mahmud; Md Sipon Miah; Md. Khairul Islam

Brain tumor segmentation by optimizing deep learning U-Net model

Technology and Health Care (2025)

Abdullah A Asiri; Lal Hussain; Muhammad Irfan; Khlood M Mehdar; Muhammad Awais; Magbool Alelyani; Mohammed Alshuhri; Ahmad Joman Alghamdi; Sultan Alamri; Muhammad Amin Nadeem

Enhancing MRI Tumor Detection: A Survey on Image Upscaling, GAN Based Data Augmentation and Federated Learning in Convolutional Neural Networks

Lecture Notes in Networks and Systems (2025)

Gatla Vijayendher; K. Sai Karthikeya; E. Jayanth Madhav; Tadepalli Satya Kiranmai

Enhancing brain tumor segmentation using attention based convolutional UNet on MRI images

Scientific Reports 15(1) (2025)

Mohammad Abrar; Abdu Salam; Faizan Ullah; Fasee Ullah; Ahmed S. Al Ghamdi

Automatic Active Contour Algorithm for Detecting Early Brain Tumors in Comparison with AI Detection

Processes 13(3) (2025)

Mohammed Almijalli; Faten A. Almusayib; Ghala F. Albugami; Ziyad Aloqalaa; Omar Altwijri; Ali S. Saad

Wavelet Based Classification Using Meta-Heuristic Algorithm with Deep Transfer Learning Technique

SN Computer Science 6(3) (2025)

Anupam Pandey; Vikas Kumar Pandey

Enhanced Early Brain Tumor Detection Crossing Blood-Brain Barrier through MRI Images Using Berkeley Wavelet-Transformation-Based Segmentation

Critical Reviews™ in Therapeutic Drug Carrier Systems 42(4) (2025)

D. Santhakumar; R. Prasanna; M. Sivakumar; S. Aswath; P. S. Arthy; R. Rajesh Kanna

MRI Brain Classification Using the Quantum Entropy LBP and Deep-Learning-Based Features

Entropy 22(9) (2020)

Ali M. Hasan; Hamid A. Jalab; Rabha W. Ibrahim; Farid Meziane; Ala’a R. AL-Shamasneh; Suzan J. Obaiys

Combining Local and Global Feature Extraction for Brain Tumor Classification: A Vision Transformer and iResNet Hybrid Model

Engineering, Technology & Applied Science Research 14(5) (2024)

Amar Y. Jaffar

AST-Net: Lightweight Hybrid Transformer for Multimodal Brain Tumor Segmentation

2022 26th International Conference on Pattern Recognition (ICPR) (2022)

Peixu Wang; Shikun Liu; Jialin Peng

A stochastic multi-agent approach for medical-image segmentation: Application to tumor segmentation in brain MR images

Artificial Intelligence in Medicine 110 (2020)

Mohamed T. Bennai; Zahia Guessoum; Smaine Mazouzi; Stéphane Cormier; Mohamed Mezghiche

Brain Tumor Classification Using Deep CNN-Based Transfer Learning Approach

International Journal of Biology and Biomedical Engineering 17 (2023)

Manish Arya; Rajeev Agrawal

Enhancing Brain Segmentation in MRI through Integration of Hidden Markov Random Field Model and Whale Optimization Algorithm

Computers 13(5) (2024)

Abdelaziz Daoudi; Saïd Mahmoudi

OpenCitations

A Hybrid ViT-GRU Approach for Brain Tumor Detection and Classification in MRI Images with Explainable Artificial Intelligence

Brain tumor segmentation by optimizing deep learning U-Net model

Enhancing MRI Tumor Detection: A Survey on Image Upscaling, GAN Based Data Augmentation and Federated Learning in Convolutional Neural Networks

Enhancing brain tumor segmentation using attention based convolutional UNet on MRI images

Automatic Active Contour Algorithm for Detecting Early Brain Tumors in Comparison with AI Detection

Wavelet Based Classification Using Meta-Heuristic Algorithm with Deep Transfer Learning Technique

Enhanced Early Brain Tumor Detection Crossing Blood-Brain Barrier through MRI Images Using Berkeley Wavelet-Transformation-Based Segmentation

MRI Brain Classification Using the Quantum Entropy LBP and Deep-Learning-Based Features

Combining Local and Global Feature Extraction for Brain Tumor Classification: A Vision Transformer and iResNet Hybrid Model

AST-Net: Lightweight Hybrid Transformer for Multimodal Brain Tumor Segmentation

A stochastic multi-agent approach for medical-image segmentation: Application to tumor segmentation in brain MR images

Brain Tumor Classification Using Deep CNN-Based Transfer Learning Approach

Enhancing Brain Segmentation in MRI through Integration of Hidden Markov Random Field Model and Whale Optimization Algorithm

A Conceptual and Effective Scheme for Brain Tumor Identification Using Robust Random Forest Classifier

Morphological characterization of the hippocampus: a first database in Ecuador

Automatic Localization and Classification of Brain Tumors using Deep Residual Networks and MRI Images

Combining Deep and Handcrafted Image Features for MRI Brain Scan Classification

Detection and Classification of Brain Tumor Using Magnetic Resonance Images

A Transfer Learning approach for AI-based classification of brain tumors

A Review on State-of-the-Art Techniques for Image Segmentation and Classification for Brain MR Images

An Optimized Transfer Learning Based Framework for Brain Tumor Classification

Automatic CAD System for Brain Diseases Classification Using CNN-LSTM Model