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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:

Multicenter Evaluation of AI-generated DIR and PSIR for Cortical and Juxtacortical Multiple Sclerosis Lesion Detection
Piet M. Bouman, Samantha Noteboom, Fernando A. Nobrega Santos, et al.
Radiology (2023) Vol. 307, Iss. 2
Open Access | Times Cited: 21

Showing 21 citing articles:

Multiple sclerosis
Dejan Jakimovski, Stefan Bittner, Robert Zivadinov, et al.
The Lancet (2023) Vol. 403, Iss. 10422, pp. 183-202
Closed Access | Times Cited: 179
An update on the role of magnetic resonance imaging in predicting and monitoring multiple sclerosis progression
Piriyankan Ananthavarathan, Nitin Sahi, Declan Chard
Expert Review of Neurotherapeutics (2024) Vol. 24, Iss. 2, pp. 201-216
Open Access | Times Cited: 10
Advanced MRI Techniques: Diagnosis and Follow-Up of Multiple Sclerosis
Riccardo Nistri, Antonio Ianniello, Valeria Pozzilli, et al.
Diagnostics (2024) Vol. 14, Iss. 11, pp. 1120-1120
Open Access | Times Cited: 5
Emerging MRI biomarkers for the diagnosis of multiple sclerosis
Pietro Maggi, Martina Absinta
Multiple Sclerosis Journal (2024)
Closed Access | Times Cited: 4
How far MS lesion detection and segmentation are integrated into the clinical workflow? A systematic review
Federico Spagnolo, Adrien Depeursinge, Sabine Schädelin, et al.
NeuroImage Clinical (2023) Vol. 39, pp. 103491-103491
Open Access | Times Cited: 9
Machine Learning and Graph Signal Processing Applied to Healthcare: A Review
Maria Alice Andrade Calazans, Felipe A. B. S. Ferreira, Fernando A. N. Santos, et al.
Bioengineering (2024) Vol. 11, Iss. 7, pp. 671-671
Open Access | Times Cited: 2
Clinical Applications of Generative Artificial Intelligence in Radiology: Image Translation, Synthesis and Text Generation
Zhiqi Zhong, Xueqian Xie
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 2
Glial cell injury and atrophied lesion volume as measures of chronic multiple sclerosis inflammation
Dejan Jakimovski, Ferhan Qureshi, Murali Ramanathan, et al.
Journal of the Neurological Sciences (2024) Vol. 461, pp. 123055-123055
Closed Access | Times Cited: 1
In vivo evidence for cell body loss in cortical lesions in people with multiple sclerosis
Eva A. Krijnen, Hansol Lee, Samantha Noteboom, et al.
Annals of Clinical and Translational Neurology (2024)
Open Access | Times Cited: 1
Cortical lesions impact cognitive decline in multiple sclerosis via volume loss of nonlesional cortex
Eva A. Krijnen, Maureen van Dam, Albulena Bajrami, et al.
Annals of Clinical and Translational Neurology (2024)
Open Access | Times Cited: 1
Subtypes and location of (juxta)cortical lesions relate to cognitive dysfunction in people with multiple sclerosis
Eva A. Krijnen, Rose-Marie Kouwenhoven, Samantha Noteboom, et al.
Multiple Sclerosis Journal (2024)
Closed Access
Measuring Disease Progression in Multiple Sclerosis Clinical Drug Trials and Impact on Future Patient Care
Floriana De Angelis, Riccardo Nistri, Sarah Wright
CNS Drugs (2024)
Closed Access
Multiple Sclerosis lesion detection with 3D Double Inversion Recovery (DIR) as compared to 3D Fluid low attenuation inversion recovery (T2-FLAIR): a systematic review and meta-analysis
Thomaz R. Mostardeiro, Luiza Giuliani Schmitt, Fernando Augusto Batista Campos, et al.
Multiple Sclerosis and Related Disorders (2024) Vol. 93, pp. 106186-106186
Closed Access
Use of artificial intelligence in multiple sclerosis imaging
Ceren Tozlu, Amy Kuceyeski, Michael G. Dwyer
Elsevier eBooks (2024), pp. 383-420
Closed Access
Advanced Brain Imaging in Central Nervous System Demyelinating Diseases
Alessandro Cagol, Charidimos Tsagkas, Cristina Granziera
Neuroimaging Clinics of North America (2024) Vol. 34, Iss. 3, pp. 335-357
Closed Access
Decoding Gray Matter Involvement in Multiple Sclerosis via Imaging
Robert Zivadinov, Ferdinand Schweser, Dejan Jakimovski, et al.
Neuroimaging Clinics of North America (2024) Vol. 34, Iss. 3, pp. 453-468
Closed Access
Novel imaging approaches in multiple sclerosis
Mauricio Farez
Elsevier eBooks (2024), pp. 35-86
Closed Access
Complementary information mutual learning for multimodality medical image segmentation
Chuyun Shen, Wenhao Li, Haoqing Chen, et al.
Neural Networks (2024) Vol. 180, pp. 106670-106670
Closed Access
MRI of the Brain: What Is Driving Innovation in 2023?
Christopher P. Hess
Radiology (2023) Vol. 308, Iss. 3
Closed Access | Times Cited: 1
Spinning Gold out of Straw: Using Modern AI Methods to Create Sequences for Cortical and Juxtacortical Multiple Sclerosis Lesion Detection When Only Conventional Imaging Is Available
Robert Zivadinov, Michael G. Dwyer
Radiology (2023) Vol. 307, Iss. 2
Closed Access
Fast-DIR: A new step for revolutionizing multiple sclerosis detection and patient experience
Augustin Lecler
Diagnostic and Interventional Imaging (2023) Vol. 104, Iss. 9, pp. 389-390
Open Access
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