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:

Glioma Brain Tumor Segmentation in Four MRI Modalities Using a Convolutional Neural Network and Based on a Transfer Learning Method
N. Sarshar, Ramin Ranjbarzadeh, Saeid Jafarzadeh Ghoushchi, et al.
Smart innovation, systems and technologies (2022), pp. 386-402
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

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: 147

ME-CCNN: Multi-encoded images and a cascade convolutional neural network for breast tumor segmentation and recognition
Ramin Ranjbarzadeh, Saeid Jafarzadeh Ghoushchi, N. Sarshar, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 9, pp. 10099-10136
Closed Access | Times Cited: 45

Brain tumor segmentation based on optimized convolutional neural network and improved chimp optimization algorithm
Ramin Ranjbarzadeh, Payam Zarbakhsh, Annalina Caputo, et al.
Computers in Biology and Medicine (2023) Vol. 168, pp. 107723-107723
Open Access | Times Cited: 45

ACU-Net: Attention-based convolutional U-Net model for segmenting brain tumors in fMRI images
Md. Alamin Talukder, Md. Abu Layek, Md Aslam Hossain, et al.
Digital Health (2025) Vol. 11
Open Access | Times Cited: 1

Breast tumor localization and segmentation using machine learning techniques: Overview of datasets, findings, and methods
Ramin Ranjbarzadeh, Shadi Dorosti, Saeid Jafarzadeh Ghoushchi, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106443-106443
Open Access | Times Cited: 59

A Deep Learning Approach for Robust, Multi-oriented, and Curved Text Detection
Ramin Ranjbarzadeh, Saeid Jafarzadeh Ghoushchi, Shokofeh Anari, et al.
Cognitive Computation (2022) Vol. 16, Iss. 4, pp. 1979-1991
Closed Access | Times Cited: 45

Point-of-Interest Preference Model Using an Attention Mechanism in a Convolutional Neural Network
Abbas Bagherian Kasgari, Sadaf Safavi, Mohammadjavad Nouri, et al.
Bioengineering (2023) Vol. 10, Iss. 4, pp. 495-495
Open Access | Times Cited: 38

ETACM: an encoded-texture active contour model for image segmentation with fuzzy boundaries
Ramin Ranjbarzadeh, Soroush Sadeghi, Aida Fadaeian, et al.
Soft Computing (2023)
Closed Access | Times Cited: 23

A deep learning model for ergonomics risk assessment and sports and health monitoring in self-occluded images
Amirhossein Aghamohammadi, Seyed Aliasghar Beheshti Shirazi, Seyed Yashar Banihashem, et al.
Signal Image and Video Processing (2023) Vol. 18, Iss. 2, pp. 1161-1173
Closed Access | Times Cited: 20

Machine Learning Empowered Brain Tumor Segmentation and Grading Model for Lifetime Prediction
M. Renugadevi, K. Narasimhan, C. V. Ravikumar, et al.
IEEE Access (2023) Vol. 11, pp. 120868-120880
Open Access | Times Cited: 17

Understanding EEG signals for subject-wise Definition of Armoni Activities
Teerath Kumar, Kislay Raj, Aditya Singh, et al.
Authorea (Authorea) (2023)
Open Access | Times Cited: 14

Brain Tumor Segmentation Based on Zernike Moments, Enhanced Ant Lion Optimization, and Convolutional Neural Network in MRI Images
Abbas Bagherian Kasgari, Ramin Ranjbarzadeh, Annalina Caputo, et al.
Lecture notes in electrical engineering (2023), pp. 345-366
Closed Access | Times Cited: 14

The Impact of Backbone Selection in Yolov8 Models on Brain Tumor Localization
Ramin Ranjbarzadeh, Martin Crane, Malika Bendechache
(2024)
Closed Access | Times Cited: 3

GastroNet: Gastrointestinal Polyp and Abnormal Feature Detection and Classification With Deep Learning Approach
Farhana Yasmin, Md. Mehedi Hassan, Mahade Hasan, et al.
IEEE Access (2023) Vol. 11, pp. 97605-97624
Open Access | Times Cited: 10

Brain Tumor Segmentation based on an Optimized Convolutional Neural Network and an Improved Chimp Optimization Algorithm
Ramin Ranjbarzadeh, Payam Zarbakhsh, Annalina Caputo, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 14

Toward Enhanced Brain Tumor Segmentation in MRI: An Ensemble Deep Learning Approach
Shaimaa E. Nassar, Ahmed Elnakib, Abdallah Abdallah, et al.
(2024) Vol. 14, pp. 483-488
Closed Access | Times Cited: 2

A Critical Review on Segmentation of Glioma Brain Tumor and Prediction of Overall Survival
Novsheena Rasool, Javaid Iqbal Bhat
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 2

WS-MTST: Weakly Supervised Multi-Label Brain Tumor Segmentation With Transformers
Huazhen Chen, Jianpeng An, Bochang Jiang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 12, pp. 5914-5925
Closed Access | Times Cited: 6

Brain Tumor Segmentation of MRI Images with U-Net and DeepLabV3+
Amila Akagić, Medina Kapo, Elma Kandić, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1

Advancements in hybrid approaches for brain tumor segmentation in MRI: a comprehensive review of machine learning and deep learning techniques
Ravikumar Sajjanar, Umesh D. Dixit, Vittalkumar K Vagga
Multimedia Tools and Applications (2023) Vol. 83, Iss. 10, pp. 30505-30539
Closed Access | Times Cited: 3

Intelligent optimization-based pulmonary emphysema detection with adaptive multi-scale dilation assisted residual network with Bi-LSTM layer
Ramadoss Ramalingam, C. Vimala
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105643-105643
Closed Access | Times Cited: 3

Improving the Generalizability of Deep Learning for T2-Lesion Segmentation of Gliomas in the Post-Treatment Setting
Jacob Ellison, Francesco Calivá, Pablo F. Damasceno, et al.
Bioengineering (2024) Vol. 11, Iss. 5, pp. 497-497
Open Access

Transfer Learning Approaches for Brain Metastases Screenings
Minh Sao Khue Luu, Bair Tuchinov, Vitaly Suvorov, et al.
Biomedicines (2024) Vol. 12, Iss. 11, pp. 2561-2561
Open Access

Page 1 - Next Page

Scroll to top