Open Access Helper

OpenAlex Citation Counts

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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:

Role of Ensemble Deep Learning for Brain Tumor Classification in Multiple Magnetic Resonance Imaging Sequence Data
Gopal S. Tandel, Ashish Tiwari, O. G. Kakde, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 481-481
Open Access | Times Cited: 45

Showing 26-50 of 45 citing articles:

DEF-SwinE2NET: Dual enhanced features guided with multi-model fusion for brain tumor classification using preprocessing optimization
M. G. Abbas Malik, Adnan Saeed, Khurram Shehzad, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107079-107079
Closed Access | Times Cited: 2
The potential for different computed tomography-based machine learning networks to automatically segment and differentiate pelvic and sacral osteosarcoma from Ewing’s sarcoma
Ping Yin, Wenjia Wang, Sicong Wang, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 5, pp. 3174-3184
Open Access | Times Cited: 5
Deep Learning Approaches for Brain Tumor Detection and Classification Using MRI Images (2020 to 2024): A Systematic Review
Sara Bouhafra, Hassan El Bahi
Deleted Journal (2024)
Closed Access | Times Cited: 1
3D Multi-Organ and Tumor Segmentation Based on Re-Parameterize Diverse Experts
Ping Liu, Chunbin Gu, Bian Wu, et al.
Mathematics (2023) Vol. 11, Iss. 23, pp. 4868-4868
Open Access | Times Cited: 2
Multi-view Image Fusion Using Ensemble Deep Learning Algorithm For MRI And CT Images
N. Thenmoezhi, B. Perumal, A. Jaya Lakshmi
ACM Transactions on Asian and Low-Resource Language Information Processing (2024) Vol. 23, Iss. 3, pp. 1-24
Closed Access
Deep CNNs for glioma grading on conventional MRIs: Performance analysis, challenges, and future directions
Sonam Saluja, Munesh Chandra Trivedi, Ashim Saha
Mathematical Biosciences & Engineering (2024) Vol. 21, Iss. 4, pp. 5250-5282
Open Access
The Effect of Noise Removal Filters on Classifying Different Types of Medical Images
Furkan Atlan, İhsan Pençe
Digital Signal Processing (2024) Vol. 153, pp. 104613-104613
Closed Access
JACNN: A Joint Attention Convolutional Neural Network for Accurate and Efficient Brain Tumors Classification in MRI Images
Liwen Kong, Jianqiang Mei, Yuming Lu, et al.
(2024)
Open Access
Optimizing Inception-V3 for Brain Tumor Classification Using Hybrid Precision Training and Cosine Annealing Learning Rate
Junxin Wang, Lianzheng He, Xinqi Zhou
(2024), pp. 528-532
Closed Access
AG-MSTLN-EL: A Multi-source Transfer Learning Approach to Brain Tumor Detection
Shivaprasad Biradar, Virupakshappa
Deleted Journal (2024)
Closed Access
Nakagami-fuzzy imaging for grading brain tumors by analyzing fractal complexity
Orcan Alpar
Applied Soft Computing (2024) Vol. 165, pp. 112097-112097
Closed Access
Ensemble learning‐based pretreatment MRI radiomic model for distinguishing intracranial extraventricular ependymoma from glioblastoma multiforme
Haoling He, Qianyan Long, Liyan Li, et al.
NMR in Biomedicine (2024) Vol. 37, Iss. 12
Closed Access
An improved brain tumor detection model using ensemble boosting
Paul Tsai Adinata, Michael Dimas Chrispradipta, Meiliana Meiliana, et al.
Procedia Computer Science (2024) Vol. 245, pp. 689-699
Open Access
XAI-MRI: An Ensemble Dual-Modality Approach for 3D Brain Tumor Segmentation Using Magnetic Resonance Imaging
Ahmeed Suliman Farhan, Muhammad Khalid, Umar Manzoor
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
An optimized ensemble search approach for classification of higher-level gait disorder using brain magnetic resonance images
Klara Mogensen, Valerio Guarrasi, Jenny Larsson, et al.
Computers in Biology and Medicine (2024) Vol. 184, pp. 109457-109457
Open Access
An Artificial Intelligence-Based Non-Invasive Approach for Cardiovascular Disease Risk Stratification in Obstructive Sleep Apnea Patients: A Narrative Review
Luca Saba, Mahesh Maindarkar, Narendra N. Khanna, et al.
Reviews in Cardiovascular Medicine (2024) Vol. 25, Iss. 12
Open Access
Creating a deep learning model using a Swin Transformer and tree growth optimisation to classify brain tumour
K Sankar, V. Gokula Krishnan, Saurav Kumar, et al.
Review of Computer Engineering Research (2023) Vol. 10, Iss. 3, pp. 110-121
Open Access
Performance of Convolutional Neural Networks for the Classification of Brain Tumors Using Magnetic Resonance Imaging
Daniel Reyes, Javier Sánchez
(2023)
Open Access
Enactment of KNN in Brain Tumor Recognition: A Censorious Explication
Abubakar Hassan Hussein, Mazin Riyadh Al-Hameed, Hussein A. Al-luhiby, et al.
2022 5th International Conference on Engineering Technology and its Applications (IICETA) (2023), pp. 342-345
Closed Access
A survey on deep Learning's Effectiveness in Detecting Brain Tumors
Pothreddypally Jhansi Devi, C. Pretty Diana Cyril, Ch. Madhu Babu
(2023), pp. 1-13
Closed Access
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