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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:

Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104697-104697
Open Access | Times Cited: 140

Showing 76-100 of 140 citing articles:

Deep Attention V-Net Architecture for Enhanced Multiple Sclerosis Segmentation
V. P. Nasheeda, Vijayarajan Rajangam
IEEE Access (2024) Vol. 12, pp. 110550-110562
Open Access | Times Cited: 1
Predicting multiple sclerosis disease progression and outcomes with machine learning and MRI-based biomarkers: a review
Hibba Yousef, Brigitta Malagurski Tortei, Filippo Castiglione
Journal of Neurology (2024)
Open Access | Times Cited: 1
Identification and classification of musculoskeletal conditions using artificial intelligence and machine learning
Ritesh Bhat, V. Santhanam, K. Sekar, et al.
Elsevier eBooks (2024), pp. 21-37
Closed Access | Times Cited: 1
A bidirectional multilayer contrastive adaptation network with anatomical structure preservation for unpaired cross-modality medical image segmentation
Hong Liu, Yuzhou Zhuang, Enmin Song, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 105964-105964
Closed Access | Times Cited: 7
Automated segmentation of multiple sclerosis lesions based on convolutional neural networks
Nada Haj Messaoud, Asma Mansour, Mouna Aissi, et al.
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2022) Vol. 11, Iss. 4, pp. 1359-1377
Closed Access | Times Cited: 7
Drug Recommender System Based on Collaborative Filtering for Multiple Sclerosis Patients
Fatemeh Vakili, Zahra Vakili, Mehrdad Kargari, et al.
(2023)
Closed Access | Times Cited: 4
Investigation of an efficient multi-modal convolutional neural network for multiple sclerosis lesion detection
Florian Raab, Wilhelm M. Malloni, Simon Wein, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4
Robust Latent Common Subspace Learning for Transferable Feature Representation
Shanhua Zhan, Weijun Sun, Peipei Kang
Electronics (2022) Vol. 11, Iss. 5, pp. 810-810
Open Access | Times Cited: 6
An Adaboost Support Vector Machine Based Harris Hawks Optimization Algorithm for Intelligent Quotient Estimation from MRI Images
P. Thilakavathy, B. Diwan
Neural Processing Letters (2022) Vol. 55, Iss. 1, pp. 519-536
Closed Access | Times Cited: 6
A Novel Lung Nodule Accurate Segmentation of PET-CT Images Based on Convolutional Neural Network and Graph Model
Xunpeng Xia, Rongfu Zhang
IEEE Access (2023) Vol. 11, pp. 34015-34031
Open Access | Times Cited: 3
Global and Regional Deep Learning Models for Multiple Sclerosis Stratification From MRI
Llucia Coll, Deborah Pareto, Pere Carbonell‐Mirabent, et al.
Journal of Magnetic Resonance Imaging (2023) Vol. 60, Iss. 1, pp. 258-267
Open Access | Times Cited: 3
Deep learning based multiple sclerosis lesion detection utilizing synthetic data generation and soft attention mechanism
Omer Shmueli, Chen Solomon, Noam Ben‐Eliezer, et al.
Medical Imaging 2018: Computer-Aided Diagnosis (2022), pp. 33-33
Closed Access | Times Cited: 5
Beyond Voxel Prediction Uncertainty: Identifying Brain Lesions You Can Trust
Benjamin Lambert, Florence Forbes, Senan Doyle, et al.
Lecture notes in computer science (2022), pp. 61-70
Open Access | Times Cited: 5
Deep Learning-Based In Vitro Detection Method for Cellular Impurities in Human Cell-Processed Therapeutic Products
Yasunari Matsuzaka, Shinji Kusakawa, Yoshihiro Uesawa, et al.
Applied Sciences (2021) Vol. 11, Iss. 20, pp. 9755-9755
Open Access | Times Cited: 6
On exploring weakly supervised domain adaptation strategies for semantic segmentation using synthetic data
Roberto Alcover‐Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 23, pp. 35879-35911
Open Access | Times Cited: 2
Scanner agnostic large-scale evaluation of MS lesion delineation tool for clinical MRI
Amalie Monberg Hindsholm, Flemming Littrup Andersen, Stig P. Cramer, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 2
Systematic review of automated sleep apnea detection based on physiological signal data using deep learning algorithm: a meta-analysis approach
Praveen K. Tyagi, Dheeraj Agarwal
Biomedical Engineering Letters (2023) Vol. 13, Iss. 3, pp. 293-312
Open Access | Times Cited: 2
Incorporating Word Embedding and Hybrid Model Random Forest Softmax Regression for Predicting News Categories
Saima Khosa, Furqan Rustam, Arif Mehmood, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 11, pp. 31279-31295
Closed Access | Times Cited: 2
Differentiating multiple sclerosis from non-specific white matter changes using a convolutional neural network image classification model
Moein Amin, Kunio Nakamura, Daniel Ontaneda
Multiple Sclerosis and Related Disorders (2023) Vol. 82, pp. 105420-105420
Closed Access | Times Cited: 2
Enhancing Multiple Sclerosis Lesion Segmentation in Multimodal MRI Scans with Diffusion Models
Alessia Rondinella, Francesco Guarnera, Oliver Giudice, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 30, pp. 3733-3740
Closed Access | Times Cited: 2
Design of a Diagnostic System for Patient Recovery Based on Deep Learning Image Processing: For the Prevention of Bedsores and Leg Rehabilitation
Donggyu Choi, Jong-Wook Jang
Diagnostics (2022) Vol. 12, Iss. 2, pp. 273-273
Open Access | Times Cited: 3
Advances in Using MRI to Estimate the Risk of Future Outcomes in Mental Health - Are We Getting There?
Aleix Solanes, Joaquim Raduà
Frontiers in Psychiatry (2022) Vol. 13
Open Access | Times Cited: 3
Brain fMRI segmentation under emotion stimuli incorporating attention-based deep convolutional neural networks
Jie Liu, Nilanjan Dey, Nabanita Das, et al.
Applied Soft Computing (2022) Vol. 122, pp. 108837-108837
Closed Access | Times Cited: 3
Biomedical Signal Analysis Using Entropy Measures: A Case Study of Motor Imaginary BCI in End Users with Disability
Hanif Heidari
Springer eBooks (2022), pp. 145-164
Closed Access | Times Cited: 3
A Hybrid Attention-based LSTM-XGBoost Model for Detection of ECG-based Atrial Fibrillation
Furkan BALCI
Gazi University Journal of Science Part A Engineering and Innovation (2022) Vol. 9, Iss. 3, pp. 199-210
Open Access | Times Cited: 3

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