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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:

Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies
Alexandre Routier, Ninon Burgos, Mauricio Díaz, et al.
Frontiers in Neuroinformatics (2021) Vol. 15
Open Access | Times Cited: 87

Showing 1-25 of 87 citing articles:

Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs
Sheng Liu, Arjun V. Masurkar, Henry Rusinek, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 90
Regional Glymphatic Abnormality in Behavioral Variant Frontotemporal Dementia
Deming Jiang, Li Liu, Yu Kong, et al.
Annals of Neurology (2023) Vol. 94, Iss. 3, pp. 442-456
Open Access | Times Cited: 44
Neurodesk: an accessible, flexible and portable data analysis environment for reproducible neuroimaging
Angela I. Renton, Thuy Dao, Tom Johnstone, et al.
Nature Methods (2024) Vol. 21, Iss. 5, pp. 804-808
Open Access | Times Cited: 24
Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data
Jorge Samper‐Gonzàlez, Ninon Burgos, Simona Bottani, et al.
NeuroImage (2018) Vol. 183, pp. 504-521
Open Access | Times Cited: 155
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
Automatic segmentation of the choroid plexuses: Method and validation in controls and patients with multiple sclerosis
Arya Yazdan-Panah, Marius Schmidt-Mengin, Vito A. G. Ricigliano, et al.
NeuroImage Clinical (2023) Vol. 38, pp. 103368-103368
Open Access | Times Cited: 35
Associations of neuroinflammatory IL-6 and IL-8 with brain atrophy, memory decline, and core AD biomarkers – in cognitively unimpaired older adults
Elettra Capogna, Leiv Otto Watne, Øystein Sørensen, et al.
Brain Behavior and Immunity (2023) Vol. 113, pp. 56-65
Open Access | Times Cited: 31
Multi-modal graph neural network for early diagnosis of Alzheimer's disease from sMRI and PET scans
Yanteng Zhang, Xiaohai He, Yi Hao Chan, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107328-107328
Open Access | Times Cited: 28
QuNex—An integrative platform for reproducible neuroimaging analytics
Jie Lisa Ji, Jure Demšar, Clara Fonteneau, et al.
Frontiers in Neuroinformatics (2023) Vol. 17
Open Access | Times Cited: 26
Forecasting individual progression trajectories in Alzheimer’s disease
Etienne Maheux, Igor Koval, Juliette Ortholand, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 24
AD Course Map charts Alzheimer’s disease progression
Igor Koval, Alexandre Bône, Maxime Louis, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 51
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
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse
Simona Bottani, Ninon Burgos, Aurélien Maire, et al.
Medical Image Analysis (2021) Vol. 75, pp. 102219-102219
Open Access | Times Cited: 34
Combining Neuroimaging and Omics Datasets for Disease Classification Using Graph Neural Networks
Yi Hao Chan, Conghao Wang, Wei Kwek Soh, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 24
Genomic loci influence patterns of structural covariance in the human brain
Junhao Wen, Ilya M. Nasrallah, Ahmed Abdulkadir, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 52
Open Access | Times Cited: 16
Focused ultrasound mitigates pathology and improves spatial memory in Alzheimer's mice and patients
Maria Eleni Karakatsani, Robin Ji, Maria F. Murillo, et al.
Theranostics (2023) Vol. 13, Iss. 12, pp. 4102-4120
Open Access | Times Cited: 15
An end-to-end multimodal 3D CNN framework with multi-level features for the prediction of mild cognitive impairment
Yanteng Zhang, Xiaohai He, Yixin Liu, et al.
Knowledge-Based Systems (2023) Vol. 281, pp. 111064-111064
Closed Access | Times Cited: 15
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
Multi-knowledge informed deep learning model for multi-point prediction of Alzheimer’s disease progression
Kai Wu, Hong Wang, Feiyan Feng, et al.
Neural Networks (2025) Vol. 185, pp. 107203-107203
Closed Access
Contrastive self-supervised learning for neurodegenerative disorder classification
Vadym Gryshchuk, Devesh Singh, Stefan Teipel, et al.
Frontiers in Neuroinformatics (2025) Vol. 19
Open Access
Interpretable modality-specific and interactive graph convolutional network on brain functional and structural connectomes
Jing Xia, Yi Hao Chan, Deepank Girish, et al.
Medical Image Analysis (2025) Vol. 102, pp. 103509-103509
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
TR-GAN: Multi-Session Future MRI Prediction With Temporal Recurrent Generative Adversarial Network
Chen-Chen Fan, Liang Peng, Tian Wang, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 8, pp. 1925-1937
Open Access | Times Cited: 18
Predicting brain atrophy from tau pathology: a summary of clinical findings and their translation into personalized models
Amelie Schäfer, Pavanjit Chaggar, Travis Thompson, et al.
Brain Multiphysics (2021) Vol. 2, pp. 100039-100039
Open Access | Times Cited: 21
Progression Models for Imaging Data with Longitudinal Variational Auto Encoders
Benoît Sauty, Stanley Durrleman
Lecture notes in computer science (2022), pp. 3-13
Open Access | Times Cited: 16
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