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:

A Novel Deep Learning Method for Recognition and Classification of Brain Tumors from MRI Images
Momina Masood, Tahira Nazir, Marriam Nawaz, et al.
Diagnostics (2021) Vol. 11, Iss. 5, pp. 744-744
Open Access | Times Cited: 104

Showing 1-25 of 104 citing articles:

Accurate brain tumor detection using deep convolutional neural network
Md. Saikat Islam Khan, Anichur Rahman, Tanoy Debnath, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 4733-4745
Open Access | Times Cited: 165
A deep learning approach for brain tumor classification using MRI images
Muhammad Aamir, Zia-ur Rahman, Zaheer Ahmed Dayo, et al.
Computers & Electrical Engineering (2022) Vol. 101, pp. 108105-108105
Open Access | Times Cited: 143
Brain Tumor Detection Based on Deep Learning Approaches and Magnetic Resonance Imaging
Akmalbek Abdusalomov, Mukhriddin Mukhiddinov, Taeg Keun Whangbo
Cancers (2023) Vol. 15, Iss. 16, pp. 4172-4172
Open Access | Times Cited: 135
Diabetic Retinopathy Diagnosis From Fundus Images Using Stacked Generalization of Deep Models
Harshit Kaushik, Dilbag Singh, Manjit Kaur, et al.
IEEE Access (2021) Vol. 9, pp. 108276-108292
Open Access | Times Cited: 123
Multi-class classification of brain tumor types from MR images using EfficientNets
Fatima Zulfiqar, Usama Ijaz Bajwa, Yasar Mehmood
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104777-104777
Closed Access | Times Cited: 85
Intelligent Ultra-Light Deep Learning Model for Multi-Class Brain Tumor Detection
Shahzad Ahmad Qureshi, Shan E Ahmed Raza, Lal Hussain, et al.
Applied Sciences (2022) Vol. 12, Iss. 8, pp. 3715-3715
Open Access | Times Cited: 82
Efficient 3D AlexNet Architecture for Object Recognition Using Syntactic Patterns from Medical Images
Shilpa Rani, Deepika Ghai, Sandeep Kumar, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-19
Open Access | Times Cited: 55
Deep learning for neurodegenerative disorder (2016 to 2022): A systematic review
Jyotismita Chaki, Marcin Woźniak
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104223-104223
Closed Access | Times Cited: 51
An attention-guided convolutional neural network for automated classification of brain tumor from MRI
Sumeet Saurav, Ayush Sharma, Ravi Saini, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 3, pp. 2541-2560
Closed Access | Times Cited: 39
Classification of Tumor in Brain MR Images Using Deep Convolutional Neural Network and Global Average Pooling
Prince Priya Malla, Sudhakar Sahu, Ahmed I. Alutaibi
Processes (2023) Vol. 11, Iss. 3, pp. 679-679
Open Access | Times Cited: 26
Alzheimer’s Disease Diagnosis Using Machine Learning: A Survey
Omer Asghar Dara, José Manuel López-Guede, Hasan Issa Raheem, et al.
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8298-8298
Open Access | Times Cited: 26
Crossover smell agent optimized multilayer perceptron for precise brain tumor classification on MRI images
Muthuvel Arumugam, Arunprasath Thiyagarajan, Lakshmi Adhi, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121453-121453
Closed Access | Times Cited: 24
A Novel Approach for Brain Tumor Classification Using an Ensemble of Deep and Hand-Crafted Features
Hareem Kibriya, Rashid Amin, Jinsul Kim, et al.
Sensors (2023) Vol. 23, Iss. 10, pp. 4693-4693
Open Access | Times Cited: 22
A deep learning fusion model for accurate classification of brain tumours in Magnetic Resonance images
Nechirvan Asaad Zebari, Chira N. Mohammed, Dilovan Asaad Zebari, et al.
CAAI Transactions on Intelligence Technology (2024) Vol. 9, Iss. 4, pp. 790-804
Open Access | Times Cited: 11
Deep learning for multi-grade brain tumor detection and classification: a prospective survey
K. Bhagyalaxmi, B. Dwarakanath, P. Vijaya Pal Reddy
Multimedia Tools and Applications (2024) Vol. 83, Iss. 25, pp. 65889-65911
Closed Access | Times Cited: 9
Analysis of Brain MRI Images Using Improved CornerNet Approach
Marriam Nawaz, Tahira Nazir, Momina Masood, et al.
Diagnostics (2021) Vol. 11, Iss. 10, pp. 1856-1856
Open Access | Times Cited: 40
DCNet: DenseNet-77-based CornerNet model for the tomato plant leaf disease detection and classification
Saleh Albahli, Marriam Nawaz
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 29
Hybrid Techniques of Analyzing MRI Images for Early Diagnosis of Brain Tumours Based on Hybrid Features
Badiea Abdulkarem Mohammed, Ebrahim Mohammed Senan, Talal Alshammari, et al.
Processes (2023) Vol. 11, Iss. 1, pp. 212-212
Open Access | Times Cited: 21
Advanced Deep Learning Approaches for Accurate Brain Tumor Classification in Medical Imaging
Amena Mahmoud, Nancy Awadallah Awad, Najah Alsubaie, et al.
Symmetry (2023) Vol. 15, Iss. 3, pp. 571-571
Open Access | Times Cited: 20
Brain Tumor Classification using VGG 16, ResNet50, and Inception V3 Transfer Learning Models
Rudresh Pillai, Avinash Sharma, Neha Sharma, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 20
Using Artificial Intelligence to Diagnose Osteoporotic Vertebral Fractures on Plain Radiographs
Li Shen, Chao Gao, Shundong Hu, et al.
Journal of Bone and Mineral Research (2023) Vol. 38, Iss. 9, pp. 1278-1287
Open Access | Times Cited: 20
Brain tumor segmentation by cascaded multiscale multitask learning framework based on feature aggregation
Zahra Sobhaninia, Nader Karimi, Pejman Khadivi, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104834-104834
Closed Access | Times Cited: 18
A robust classification of brain tumor disease in MRI using twin-attention based dense convolutional auto-encoder
Sandhya Waghere, Jayashri Prashant Shinde
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106088-106088
Closed Access | Times Cited: 6
Advances in the Use of Deep Learning for the Analysis of Magnetic Resonance Image in Neuro-Oncology
Carla Pitarch, Gülnur Ungan, Margarida Julià‐Sapé, et al.
Cancers (2024) Vol. 16, Iss. 2, pp. 300-300
Open Access | Times Cited: 5
Trade-off between training and testing ratio in machine learning for medical image processing
Muthuramalingam Sivakumar, S. Parthasarathy, S. Padmapriya
PeerJ Computer Science (2024) Vol. 10, pp. e2245-e2245
Open Access | Times Cited: 5
Page 1 - Next Page

Scroll to top