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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:

Challenges of implementing computer-aided diagnostic models for neuroimages in a clinical setting
Matthew Leming, Esther E. Bron, Rose Bruffaerts, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 23

Showing 23 citing articles:

Unexpectedly low accuracy of GPT-4 in identifying common liver diseases from CT scan images
Yiwen Zhang, Liwei Wu, Yangang Wang, et al.
Digestive and Liver Disease (2024) Vol. 56, Iss. 4, pp. 718-720
Closed Access | Times Cited: 14
Developing multifactorial dementia prediction models using clinical variables from cohorts in the US and Australia
Caitlin A. Finney, David A. Brown, Artur Shvetcov
Translational Psychiatry (2025) Vol. 15, Iss. 1
Open Access
LiteMamba-Bound: A Lightweight Mamba-based Model with Boundary-Aware and Normalized Active Contour Loss for Skin Lesion Segmentation
Quang Tri Ho, Thi-Nhu-Quynh Nguyen, Thi-Thao Tran, et al.
Methods (2025)
Closed Access
Mild cognitive impairment cases affect the predictive power of Alzheimers disease diagnostic models using routine clinical variables
Caitlin A. Finney, Artur Shvetcov
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Strategies for mitigating data heterogeneities in AI-based neuro-disease detection
Matthew Leming, Kyungsu Kim, Rose Bruffaerts, et al.
Neuron (2025)
Closed Access
Machine Learning Operations in Health Care: A Scoping Review
Anjali Rajagopal, Shant Ayanian, Alexander J. Ryu, et al.
Mayo Clinic Proceedings Digital Health (2024) Vol. 2, Iss. 3, pp. 421-437
Closed Access | Times Cited: 4
Artificial General Intelligence for the Detection of Neurodegenerative Disorders
Yazdan Ahmad Qadri, Khurshid Ahmad, Sung Won Kim
Sensors (2024) Vol. 24, Iss. 20, pp. 6658-6658
Open Access | Times Cited: 3
Towards global model generalizability: independent cross-site feature evaluation for patient-level risk prediction models using the OHDSI network
Behzad Naderalvojoud, Catherine Curtin, Chen Yanover, et al.
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 5, pp. 1051-1061
Open Access | Times Cited: 2
Comment on “advancing oral cancer diagnosis in Brazil: Integrating artificial intelligence with Teledentistry for Better Patient Outcomes”
Paulo Ricardo Elias de Melo, Mariana Agra Monteiro, Natália Vitória de Araújo Lopes, et al.
Oral Oncology (2024) Vol. 151, pp. 106758-106758
Closed Access | Times Cited: 2
An Edge-Enhanced Network for Polyp Segmentation
Yao Tong, Ziqi Chen, Zuojian Zhou, et al.
Bioengineering (2024) Vol. 11, Iss. 10, pp. 959-959
Open Access | Times Cited: 2
Introduction to computer-aided diagnosis (CAD) tools and applications
Deo Prakash, Abhishek Gupta
Advances in computers (2024)
Closed Access | Times Cited: 1
Use of Artificial Intelligence in Imaging Dementia
Manal Aljuhani, Azhaar Ashraf, Paul Edison
Cells (2024) Vol. 13, Iss. 23, pp. 1965-1965
Open Access | Times Cited: 1
It is Not Time to Kick Out Radiologists
Yuta Nakamura, Yuki Sonoda, Yosuke Yamagishi, et al.
Asian Bioethics Review (2024) Vol. 17, Iss. 1, pp. 9-15
Open Access | Times Cited: 1
Innovations in Diabetic Macular Edema Management: A Comprehensive Review of Automated Quantification and Anti-vascular Endothelial Growth Factor Intervention
Soumya Sharma, Sachin Daigavane, Pranaykumar Shinde
Cureus (2024)
Open Access | Times Cited: 1
Conformal Triage for Medical Imaging AI Deployment
Anastasios N. Angelopoulos, Stuart R. Pomerantz, Synho Do, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Cortical thickness and grey-matter volume anomaly detection in individual MRI scans: Comparison of two methods
David Romascano, Michael Rebsamen, Piotr Radojewski, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Cortical thickness and grey-matter volume anomaly detection in individual MRI scans: Comparison of two methods
David Romascano, Michael Rebsamen, Piotr Radojewski, et al.
NeuroImage Clinical (2024) Vol. 43, pp. 103624-103624
Open Access
Towards collaborative data science in mental health research: The ECNP NeuroImaging Network Accessible Data Repository
Adyasha Khuntia, Madalina-Octavia Buciuman, John F. Fanning, et al.
Neuroscience Applied (2024), pp. 105407-105407
Open Access
From data to discovery: Neuroinformatics in understanding Alzheimer's disease
Sonu Pahal, Vishvender Pahal, Amit Chaudhary
Journal of Biosciences (2024) Vol. 50, Iss. 1
Closed Access
Developing multifactorial dementia prediction models using clinical variables from cohorts in the US and Australia
Caitlin A. Finney, David A. Brown, Artur Shvetcov
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
No-code machine learning in radiology: implementation and validation of a platform that allows clinicians to train their own models
Daniel C. Elton, Giridhar Dasegowda, James Yuichi Sato, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Computer-Assisted Analysis of Myelography
Rhythm Kulshrestha
Advances in medical technologies and clinical practice book series (2024), pp. 147-166
Closed Access
Searching for the grail: may machine learning be a road to clinical use of brain MRI segmentation?
Mario Quarantelli
European Radiology (2023) Vol. 34, Iss. 6, pp. 3575-3577
Closed Access | Times Cited: 1
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