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 using K‐means clustering and deep learning with synthetic data augmentation for classification
Amjad Rehman, Siraj M. Khan, Majid Harouni, et al.
Microscopy Research and Technique (2021) Vol. 84, Iss. 7, pp. 1389-1399
Closed Access | Times Cited: 185

Showing 1-25 of 185 citing articles:

A Robust Approach for Brain Tumor Detection in Magnetic Resonance Images Using Finetuned EfficientNet
Hasnain Ali Shah, Faisal Saeed, Sangseok Yun, et al.
IEEE Access (2022) Vol. 10, pp. 65426-65438
Open Access | Times Cited: 175
Medical image data augmentation: techniques, comparisons and interpretations
Evgin Göçeri
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 12561-12605
Open Access | Times Cited: 158
Data augmentation for medical imaging: A systematic literature review
Fabio Garcea, Alessio Serra, Fabrizio Lamberti, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106391-106391
Closed Access | Times Cited: 156
Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools
Ramin Ranjbarzadeh, Annalina Caputo, Erfan Babaee Tırkolaee, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106405-106405
Closed Access | Times Cited: 144
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
AI in Thyroid Cancer Diagnosis: Techniques, Trends, and Future Directions
Yassine Habchi, Yassine Himeur, Hamza Kheddar, et al.
Systems (2023) Vol. 11, Iss. 10, pp. 519-519
Open Access | Times Cited: 44
Pre-trained deep learning models for brain MRI image classification
Srigiri Krishnapriya, Yepuganti Karuna
Frontiers in Human Neuroscience (2023) Vol. 17
Open Access | Times Cited: 42
MSRNet: Multiclass Skin Lesion Recognition Using Additional Residual Block Based Fine-Tuned Deep Models Information Fusion and Best Feature Selection
Sobia Bibi, Muhammad Attique Khan, Jamal Hussain Shah, et al.
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3063-3063
Open Access | Times Cited: 42
Brain Tumor Segmentation from MRI Images Using Handcrafted Convolutional Neural Network
Faizan Ullah, Muhammad Nadeem, Mohammad Abrar, et al.
Diagnostics (2023) Vol. 13, Iss. 16, pp. 2650-2650
Open Access | Times Cited: 39
A Review of Machine Learning Algorithms for Biomedical Applications
V A Binson, Sania Thomas, M. Subramoniam, et al.
Annals of Biomedical Engineering (2024) Vol. 52, Iss. 5, pp. 1159-1183
Closed Access | Times Cited: 21
A framework for efficient brain tumor classification using MRI images
Yurong Guan, Muhammad Aamir, Zia-ur Rahman, et al.
Mathematical Biosciences & Engineering (2021) Vol. 18, Iss. 5, pp. 5790-5815
Open Access | Times Cited: 58
A survey on recent trends in deep learning for nucleus segmentation from histopathology images
Anusua Basu, Pradip Senapati, Mainak Deb, et al.
Evolving Systems (2023) Vol. 15, Iss. 1, pp. 203-248
Open Access | Times Cited: 38
Tumor Localization and Classification from MRI of Brain using Deep Convolution Neural Network and Salp Swarm Algorithm
Jaber Alyami, Amjad Rehman, Fahad Almutairi, et al.
Cognitive Computation (2023) Vol. 16, Iss. 4, pp. 2036-2046
Closed Access | Times Cited: 28
LCDEiT: A Linear Complexity Data-Efficient Image Transformer for MRI Brain Tumor Classification
Gazi Jannatul Ferdous, Khaleda Akhter Sathi, Md. Azad Hossain, et al.
IEEE Access (2023) Vol. 11, pp. 20337-20350
Open Access | Times Cited: 27
Variational Autoencoders for Data Augmentation in Clinical Studies
Dimitris Papadopoulos, Vangelis Karalis
Applied Sciences (2023) Vol. 13, Iss. 15, pp. 8793-8793
Open Access | Times Cited: 25
Advances in Medical Image Segmentation: A Comprehensive Review of Traditional, Deep Learning and Hybrid Approaches
Yan Xu, Rixiang Quan, Weiting Xu, et al.
Bioengineering (2024) Vol. 11, Iss. 10, pp. 1034-1034
Open Access | Times Cited: 12
Improved Brain Tumor Segmentation and Classification in Brain MRI with FCM-SVM: A Diagnostic Approach
Samar M. Alqhtani, Toufique Ahmed Soomro, Ahmed Ali, et al.
IEEE Access (2024) Vol. 12, pp. 61312-61335
Open Access | Times Cited: 8
Progress and trends in neurological disorders research based on deep learning
Muhammad Shahid Iqbal, Md Belal Bin Heyat, Saba Parveen, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 116, pp. 102400-102400
Closed Access | Times Cited: 8
A Comparative Analysis of the Novel Conditional Deep Convolutional Neural Network Model, Using Conditional Deep Convolutional Generative Adversarial Network-Generated Synthetic and Augmented Brain Tumor Datasets for Image Classification
Efe Precious Onakpojeruo, Mubarak Taiwo Mustapha, Dilber Uzun Ozsahin, et al.
Brain Sciences (2024) Vol. 14, Iss. 6, pp. 559-559
Open Access | Times Cited: 8
A novel enhanced SOC estimation method for lithium-ion battery cells using cluster-based LSTM models and centroid proximity selection
Mohammed Khalifa Al-Alawi, Ali Jaddoa, James Cugley, et al.
Journal of Energy Storage (2024) Vol. 97, pp. 112866-112866
Open Access | Times Cited: 7
Improved Deep Convolutional Neural Network to Classify Osteoarthritis from Anterior Cruciate Ligament Tear Using Magnetic Resonance Imaging
Mazhar Javed Awan, Mohd Shafry Mohd Rahim, Naomie Salim, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 11, pp. 1163-1163
Open Access | Times Cited: 44
A Deep Probabilistic Sensing and Learning Model for Brain Tumor Classification With Fusion-Net and HFCMIK Segmentation
M. V. S. Ramprasad, Md. Zıa Ur Rahman, Masreshaw Bayleyegn
IEEE Open Journal of Engineering in Medicine and Biology (2022) Vol. 3, pp. 178-188
Open Access | Times Cited: 28
A Novel Approach in Bio-Medical Image Segmentation for Analyzing Brain Cancer Images with U-NET Semantic Segmentation and TPLD Models Using SVM
Stephen Neal Joshua Eali, Debnath Bhattacharyya, Thirupathi Rao Nakka, et al.
Traitement du signal (2022) Vol. 39, Iss. 2, pp. 419-430
Open Access | Times Cited: 27
Ensemble Learning Driven Computer-Aided Diagnosis Model for Brain Tumor Classification on Magnetic Resonance Imaging
Thavavel Vaiyapuri, Jaiganesh Mahalingam, Sultan Ahmad, et al.
IEEE Access (2023) Vol. 11, pp. 91398-91406
Open Access | Times Cited: 20
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
Page 1 - Next Page

Scroll to top