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:

An Effective Multimodal Image Fusion Method Using MRI and PET for Alzheimer's Disease Diagnosis
Juan Song, Jian Zheng, Ping Li, et al.
Frontiers in Digital Health (2021) Vol. 3
Open Access | Times Cited: 85

Showing 1-25 of 85 citing articles:

Early diagnosis of Alzheimer's disease based on deep learning: A systematic review
Sina Fathi, Maryam Ahmadi, Afsaneh Dehnad
Computers in Biology and Medicine (2022) Vol. 146, pp. 105634-105634
Closed Access | Times Cited: 71
Review on Alzheimer Disease Detection Methods: Automatic Pipelines and Machine Learning Techniques
Amar Shukla, Rajeev Tiwari, Shamik Tiwari
Sci (2023) Vol. 5, Iss. 1, pp. 13-13
Open Access | Times Cited: 42
Explainable Deep-Learning-Based Diagnosis of Alzheimer’s Disease Using Multimodal Input Fusion of PET and MRI Images
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius, et al.
Journal of Medical and Biological Engineering (2023) Vol. 43, Iss. 3, pp. 291-302
Open Access | Times Cited: 42
A review of deep learning-based information fusion techniques for multimodal medical image classification
Yihao Li, Mostafa El Habib Daho, Pierre-Henri Conze, et al.
Computers in Biology and Medicine (2024) Vol. 177, pp. 108635-108635
Open Access | Times Cited: 20
Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
Information Fusion (2022) Vol. 93, pp. 85-117
Closed Access | Times Cited: 66
OViTAD: Optimized Vision Transformer to Predict Various Stages of Alzheimer’s Disease Using Resting-State fMRI and Structural MRI Data
Saman Sarraf, Arman Sarraf, Danielle D. DeSouza, et al.
Brain Sciences (2023) Vol. 13, Iss. 2, pp. 260-260
Open Access | Times Cited: 37
Parameter adaptive unit-linking pulse coupled neural network based MRI–PET/SPECT image fusion
Chinmaya Panigrahy, Ayan Seal, Consuelo Gonzalo‐Martín, et al.
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104659-104659
Closed Access | Times Cited: 32
Machine learning with multimodal neuroimaging data to classify stages of Alzheimer’s disease: a systematic review and meta-analysis
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius, et al.
Cognitive Neurodynamics (2023) Vol. 18, Iss. 3, pp. 775-794
Open Access | Times Cited: 25
Detection of Alzheimer’s disease onset using MRI and PET neuroimaging: longitudinal data analysis and machine learning
Don Kulasiri, Iroshan Aberathne, Sandhya Samarasinghe
Neural Regeneration Research (2023) Vol. 18, Iss. 10, pp. 2134-2134
Open Access | Times Cited: 23
Automated Medical Diagnosis of Alzheimer´s Disease Using an Efficient Net Convolutional Neural Network
Deevyankar Agarwal, M. Álvaro Berbís, Antonio Luna, et al.
Journal of Medical Systems (2023) Vol. 47, Iss. 1
Open Access | Times Cited: 22
A systematic literature review on the significance of deep learning and machine learning in predicting Alzheimer's disease
Arshdeep Kaur, Meenakshi Mittal, Jasvinder Singh Bhatti, et al.
Artificial Intelligence in Medicine (2024) Vol. 154, pp. 102928-102928
Closed Access | Times Cited: 13
Automated detection of Alzheimer’s disease: a multi-modal approach with 3D MRI and amyloid PET
Giovanna Castellano, Andrea Esposito, Eufemia Lella, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 12
Alzheimer’s disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions
Ahmed Elazab, Changmiao Wang, M. Abdel-Aziz, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124780-124780
Closed Access | Times Cited: 11
Multi-feature computational framework for combined signatures of dementia in underrepresented settings
Sebastián Moguilner, Agustina Birba, Sol Fittipaldi, et al.
Journal of Neural Engineering (2022) Vol. 19, Iss. 4, pp. 046048-046048
Open Access | Times Cited: 29
A review of the application of three-dimensional convolutional neural networks for the diagnosis of Alzheimer’s disease using neuroimaging
Xinze Xu, Lan Lin, Shen Sun, et al.
Reviews in the Neurosciences (2023) Vol. 34, Iss. 6, pp. 649-670
Closed Access | Times Cited: 20
CsAGP: Detecting Alzheimer's disease from multimodal images via dual-transformer with cross-attention and graph pooling
Chaosheng Tang, Mingyang Wei, Junding Sun, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 7, pp. 101618-101618
Open Access | Times Cited: 18
Applications of machine learning and deep learning in SPECT and PET imaging: General overview, challenges and future prospects
C. Jiménez-Mesa, Juan E. Arco, Francisco J. Martínez-Murcia, et al.
Pharmacological Research (2023) Vol. 197, pp. 106984-106984
Open Access | Times Cited: 18
Alzheimer’s Disease Detection from Fused PET and MRI Modalities Using an Ensemble Classifier
Amar Shukla, Rajeev Tiwari, Shamik Tiwari
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 2, pp. 512-538
Open Access | Times Cited: 17
Multimodal predictive classification of Alzheimer's disease based on attention‐combined fusion network: Integrated neuroimaging modalities and medical examination data
Hui Chen, Huiru Guo, Longqiang Xing, et al.
IET Image Processing (2023) Vol. 17, Iss. 11, pp. 3153-3164
Open Access | Times Cited: 17
Automatic Early Diagnosis of Alzheimer’s Disease Using 3D Deep Ensemble Approach
Aya Gamal, Mustafa Elattar, Sahar Selim
IEEE Access (2022) Vol. 10, pp. 115974-115987
Open Access | Times Cited: 24
Optimized Convolutional Fusion for Multimodal Neuroimaging in Alzheimer’s Disease Diagnosis: Enhancing Data Integration and Feature Extraction
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius
Journal of Personalized Medicine (2023) Vol. 13, Iss. 10, pp. 1496-1496
Open Access | Times Cited: 13
Neuroimage analysis using artificial intelligence approaches: a systematic review
Eric Jacob Bacon, Dianning He, N'bognon Angèle D'avilla Achi, et al.
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 9, pp. 2599-2627
Closed Access | Times Cited: 5
An Automated Multimodal Medical Image Fusion Framework for Alzheimer Detection using Deep Learning
S. Beatrice, Janaki Meena M, I. Dhivviyanandnam
Research Square (Research Square) (2025)
Closed Access
MT‐BAAN: Multi‐View Topological Bilinear Aggregation Attention Network Model for Alzheimer's Disease Diagnosis
Jie Liu, Weiming Zeng, Wei Zhang, et al.
International Journal of Imaging Systems and Technology (2025) Vol. 35, Iss. 1
Closed Access
Multimodality Calibration in 3D Multi Input-Multi Output Network for Dementia Diagnosis with Incomplete Acquisitions
Adriano De Simone, Michela Gravina, Carlo Sansone
Lecture notes in computer science (2025), pp. 92-101
Closed Access
Page 1 - Next Page

Scroll to top