Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Brain tumor segmentation and classification using hybrid deep CNN with LuNetClassifier
T. Balamurugan, E. Gnanamanoharan
Neural Computing and Applications (2022) Vol. 35, Iss. 6, pp. 4739-4753
Closed Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Multimodal brain tumor segmentation and classification from MRI scans based on optimized DeepLabV3+ and interpreted networks information fusion empowered with explainable AI
Muhammad Sami Ullah, Muhammad Attique Khan, Hussain Mubarak Albarakati, et al.
Computers in Biology and Medicine (2024) Vol. 182, pp. 109183-109183
Closed Access | Times Cited: 9
Neuro-XAI: Explainable deep learning framework based on deeplabV3+ and bayesian optimization for segmentation and classification of brain tumor in MRI scans
Tallha Saeed, Muhammad Attique Khan, Ameer Hamza, et al.
Journal of Neuroscience Methods (2024) Vol. 410, pp. 110247-110247
Closed Access | Times Cited: 7
Brain tumour segmentation and classification with reconstructed MRI using DCGAN
B. Sandhiya, S. Kanaga Suba Raja, K Shruthi, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106005-106005
Closed Access | Times Cited: 6
Explainability based Panoptic brain tumor segmentation using a hybrid PA-NET with GCNN-ResNet50
S. Berlin Shaheema, K. Suganya Devi, Naresh Babu Muppalaneni
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106334-106334
Closed Access | Times Cited: 5
Optimizing machine learning performance for medical imaging analyses in low-resource environments: The prospects of CNN-based Feature Extractors
Itunuoluwa Isewon, Emmanuel Alagbe, Jelili Oyelade
F1000Research (2025) Vol. 14, pp. 100-100
Open Access
Integrating Gaussian mixture model with adjacent spatial adaptive transformer multi-stage network for magnetic resonance image reconstruction
Tong Hou, Hongqing Zhu, Jiahao Liu, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107577-107577
Closed Access
Exploring brain tumor detection through artificial intelligence
Ashish Kumar, Shikha Bhalla
Elsevier eBooks (2025), pp. 93-120
Closed Access
DFMN: Dense fused Maxout network for severity prediction of brain tumor using hybrid tumor segmentation algorithm
R. Rajeswari, Santhoshini Sahu, Ramamani Tripathy, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106029-106029
Closed Access | Times Cited: 4
BTSC-TNAS: A neural architecture search-based transformer for brain tumor segmentation and classification
Xiao Liu, Chong Yao, Hongyi Chen, et al.
Computerized Medical Imaging and Graphics (2023) Vol. 110, pp. 102307-102307
Closed Access | Times Cited: 12
CT-γ-Net: A Hybrid Model based on Convolutional Encoder-Decoder and Transformer Encoder for Brain Tumor Localization
Punam Bedi, Ningyao Ningshen, Surbhi Rani, et al.
Journal of Data Science and Intelligent Systems (2024)
Open Access | Times Cited: 2
Brain-GCN-Net: Graph-Convolutional Neural Network for brain tumor identification
Ercan Gürsoy, Yasin Kaya
Computers in Biology and Medicine (2024) Vol. 180, pp. 108971-108971
Closed Access | Times Cited: 2
Content-aware Nakagami morphing for incremental brain MRI
Orcan Alpar
Knowledge-Based Systems (2024) Vol. 291, pp. 111575-111575
Closed Access | Times Cited: 1
Brain Tumor Segmentation and Classification Using CNN Pre-Trained VGG-16 Model in MRI Images
T. Gayathri, Sundeep Kumar K.
IIUM Engineering Journal (2024) Vol. 25, Iss. 2, pp. 196-211
Open Access | Times Cited: 1
An explainable Liquid Neural Network combined with path aggregation residual network for an accurate brain tumor diagnosis
S. Berlin Shaheema, K. Suganya Devi, Naresh Babu Muppalaneni
Computers & Electrical Engineering (2024) Vol. 122, pp. 109999-109999
Closed Access | Times Cited: 1
Deep Learning-Based Brain Tumor Image Analysis for Segmentation
Zahid Mansur, Jyotismita Talukdar, Thipendra P. Singh, et al.
SN Computer Science (2024) Vol. 6, Iss. 1
Closed Access | Times Cited: 1
An Optimized CNN Method for Multi-Class MRI Brain Tumor Classification
Sreedhar Kollem
(2023), pp. 1150-1155
Closed Access | Times Cited: 3
MAEU‐NET: A novel supervised architecture for brain tumor segmentation
Sangeet Kumar, Birendra Biswal
International Journal of Imaging Systems and Technology (2023) Vol. 34, Iss. 2
Closed Access | Times Cited: 3
Enhancing Brain Tumor Diagnosis: Utilizing ResNet-101 on MRI Images for Detection
D. R. Soumya, D. L. Kavya Reddy, Abhayendra Nagar, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 2
A Comprehensive Method for MRI Brain Tumor Classification Using Hybrid CNN and Feature Selection
Sreedhar Kollem
(2023), pp. 1144-1149
Closed Access | Times Cited: 2
EDLNet: ensemble deep learning network model for automatic brain tumor classification and segmentation
Surendra Reddy Vinta, Phaneendra Varma Chintalapati, Gurujukota Ramesh Babu, et al.
Journal of Biomolecular Structure and Dynamics (2024), pp. 1-13
Closed Access
Segnet with Unet3+ and EfficientNet: a novel framework of brain tumour segmentation and classification model by multiscale attention-based deep learning techniques with hybrid heuristic improvement using 3D MRI brain images
D Ramya, C. Lakshmi
The Imaging Science Journal (2024), pp. 1-24
Closed Access
Improving Diagnostics for Brain Cancer: An Application of Deep Learning
Neeraj Kumar Sharma, Shashikiran Umakanth, Alok Kumar Moharana
(2024), pp. 1-7
Closed Access
Resnet -101 and Faster R-CNN Fusion Accurate Brain Tumor Detection and Categorization
Kavin Kumar K, S Srimathi, B Suhashini, et al.
(2024), pp. 1-6
Closed Access
MRI Brain Tumor Segmentation and Classification using different deep learning models
Dhruvin R Modi, S. Lokesh Kumar
(2024), pp. 1-6
Closed Access
Brain Tumor Segmentation and Classification Using Deep Learning
Panuganti Sai Sri Vaishnav, Bhupinder Singh
Algorithms for intelligent systems (2024), pp. 129-142
Closed Access
Page 1 - Next Page

Scroll to top