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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:

ClinicaDL: An open-source deep learning software for reproducible neuroimaging processing
Elina Thibeau‐Sutre, Mauricio Díaz, Ravi Hassanaly, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 220, pp. 106818-106818
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder
Clément Chadebec, Elina Thibeau‐Sutre, Ninon Burgos, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 3, pp. 2879-2896
Open Access | Times Cited: 52
Convolution Neural Networks and Self-Attention Learners for Alzheimer Dementia Diagnosis from Brain MRI
Pierluigi Carcagnì, Marco Leo, Marco Del Coco, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1694-1694
Open Access | Times Cited: 38
Joint learning framework of cross-modal synthesis and diagnosis for Alzheimer’s disease by mining underlying shared modality information
Chenhui Wang, Sirong Piao, Zhizhong Huang, et al.
Medical Image Analysis (2023) Vol. 91, pp. 103032-103032
Open Access | Times Cited: 12
Unsupervised Anomaly Detection in 3D Brain FDG PET: A Benchmark of 17 VAE-Based Approaches
Ravi Hassanaly, Camille Brianceau, Olivier Colliot, et al.
Lecture notes in computer science (2024), pp. 110-120
Closed Access | Times Cited: 4
Reproducibility in medical image computing: what is it and how is it assessed?
Olivier Colliot, Elina Thibeau‐Sutre, Camille Brianceau, et al.
Elsevier eBooks (2025), pp. 177-204
Closed Access
Automatic quality control of brain 3D FLAIR MRIs for a clinical data warehouse
Sophie Loizillon, Simona Bottani, Aurélien Maire, et al.
Medical Image Analysis (2025), pp. 103617-103617
Closed Access
Evaluation of MRI-based machine learning approaches for computer-aided diagnosis of dementia in a clinical data warehouse
Simona Bottani, Ninon Burgos, Aurélien Maire, et al.
Medical Image Analysis (2023) Vol. 89, pp. 102903-102903
Open Access | Times Cited: 8
Automatic motion artefact detection in brain T1-weighted magnetic resonance images from a clinical data warehouse using synthetic data
Sophie Loizillon, Simona Bottani, Aurélien Maire, et al.
Medical Image Analysis (2023) Vol. 93, pp. 103073-103073
Open Access | Times Cited: 8
Reproducibility in Machine Learning for Medical Imaging
Olivier Colliot, Elina Thibeau‐Sutre, Ninon Burgos
Neuromethods (2023), pp. 631-653
Open Access | Times Cited: 7
Leveraging healthy population variability in deep learning unsupervised anomaly detection in brain FDG PET
Maëlys Solal, Ravi Hassanaly, Ninon Burgos
Medical Imaging 2022: Image Processing (2024), pp. 47-47
Open Access | Times Cited: 2
Simulation based evaluation framework for deep learning unsupervised anomaly detection on brain FDG-PET
Ravi Hassanaly, Simona Bottani, Benoît Sauty, et al.
Medical Imaging 2022: Image Processing (2023), pp. 87-87
Open Access | Times Cited: 5
An Overview of Open Source Deep Learning-Based Libraries for Neuroscience
Louis Fabrice Tshimanga, Federico Del Pup, Maurizio Corbetta, et al.
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5472-5472
Open Access | Times Cited: 4
Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PET
Ravi Hassanaly, Camille Brianceau, Maëlys Solal, et al.
The Journal of Machine Learning for Biomedical Imaging (2024) Vol. 2, Iss. Generative Models, pp. 611-656
Open Access | Times Cited: 1
Automatic rating of incomplete hippocampal inversions evaluated across multiple cohorts
Lisa Hemforth, Baptiste Couvy‐Duchesne, Kevin de Matos, et al.
The Journal of Machine Learning for Biomedical Imaging (2024) Vol. 2, Iss. July 2024, pp. 1004-1029
Open Access | Times Cited: 1
Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification
Yuning Huang, Jingchen Zou, Lanxi Meng, et al.
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2024), pp. 297-305
Open Access | Times Cited: 1
Introducing soft topology constraints in deep learning-based segmentation using projected pooling loss
Guanghui Fu, Rosana El Jurdi, Lydia Chougar, et al.
Medical Imaging 2022: Image Processing (2023), pp. 54-54
Open Access | Times Cited: 3
MRI Field Strength Predicts Alzheimer’s Disease: a Case Example of Bias in the ADNI Data Set
Elina Thibeau‐Sutre, Baptiste Couvy‐Duchesne, Didier Dormont, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2022), pp. 1-4
Open Access | Times Cited: 5
Recent advances in the open-source ClinicaDL software for reproducible neuroimaging with deep learning
Ravi Hassanaly, Camille Brianceau, Mauricio Díaz, et al.
Medical Imaging 2022: Image Processing (2024), pp. 69-69
Open Access
Leveraging noise and contrast simulation for the automatic quality control of routine clinical T1-weighted brain MRI
Sophie Loizillon, Stéphane Mabille, Simona Bottani, et al.
Medical Imaging 2022: Image Processing (2024), pp. 42-42
Open Access
The intriguing effect of frequency disentangled learning on medical image segmentation
Guanghui Fu, Gabriel Jiménez, Sophie Loizillon, et al.
Medical Imaging 2022: Image Processing (2024), pp. 49-49
Open Access
Open-source tools and platforms to investigate analytical variability in neuroimaging
Jacob Sanz-Robinson, Michelle Wang, Brent McPherson, et al.
(2024)
Open Access
Revolutionizing Alzheimer’s detection: an advanced telemedicine system integrating Internet-of-Things and convolutional neural networks
Mohamed A. M. Massoud, Mohamed E. El-Bouridy, Wael Abouelwafa
Neural Computing and Applications (2024) Vol. 36, Iss. 26, pp. 16411-16426
Open Access
Automated MRI Quality Assessment of Brain T1-weighted MRI in Clinical Data Warehouses: A Transfer Learning Approach Relying on Artefact Simulation
Sophie Loizillon, Simona Bottani, Stéphane Mabille, et al.
The Journal of Machine Learning for Biomedical Imaging (2024) Vol. 2, Iss. June 2024, pp. 888-915
Open Access
CALIFRAME: A Proposed Method of Calibrating Reporting Guidelines with FAIR Principles to Foster Reproducibility of AI Research in Medicine
Kirubel Biruk Shiferaw, Irina Balaur, Danielle Welter, et al.
(2024)
Open Access
ATOMMIC: An Advanced Toolbox for Multitask Medical Imaging Consistency to facilitate Artificial Intelligence applications from acquisition to analysis in Magnetic Resonance Imaging
Dimitrios Karkalousos, Ivana Išgum, Henk A. Marquering, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 256, pp. 108377-108377
Open Access
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