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:

Predicting age and clinical risk from the neonatal connectome
Yassine Taoudi-Benchekroun, Daan Christiaens, Irina Grigorescu, et al.
NeuroImage (2022) Vol. 257, pp. 119319-119319
Open Access | Times Cited: 25

Showing 25 citing articles:

Transformer based multi-modal MRI fusion for prediction of post-menstrual age and neonatal brain development analysis
Haiyan Zhao, Hongjie Cai, Manhua Liu
Medical Image Analysis (2024) Vol. 94, pp. 103140-103140
Closed Access | Times Cited: 7
An Attention-Based Hemispheric Relation Inference Network for Perinatal Brain Age Prediction
Leilei Zhao, Dalin Zhu, Xiaomin Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 8, pp. 4483-4493
Closed Access | Times Cited: 6
The developing brain structural and functional connectome fingerprint
Judit Ciarrusta, Daan Christiaens, Sean P. Fitzgibbon, et al.
Developmental Cognitive Neuroscience (2022) Vol. 55, pp. 101117-101117
Open Access | Times Cited: 25
Advances in fetal and neonatal neuroimaging and everyday exposures
Alexandra Lautarescu, Alexandra F. Bonthrone, Brendan Bos, et al.
Pediatric Research (2024) Vol. 96, Iss. 6, pp. 1404-1416
Open Access | Times Cited: 5
Network controllability of structural connectomes in the neonatal brain
Huili Sun, Rongtao Jiang, Wei Dai, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 12
Functional and structural reorganization in brain tumors: a machine learning approach using desynchronized functional oscillations
Joan Falcó-Roget, Alberto Cacciola, Fabio Sambataro, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 4
Comparative Analysis of Brain Age Prediction Using Structural and Diffusion MRIs in Neonates
Zhicong Fang, Ningning Pan, Shujuan Liu, et al.
NeuroImage (2024) Vol. 299, pp. 120815-120815
Open Access | Times Cited: 2
Applications of Deep Learning to Neurodevelopment in Pediatric Imaging: Achievements and Challenges
Mengjiao Hu, Cosimo Nardi, Haihong Zhang, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2302-2302
Open Access | Times Cited: 5
Common Genetic Variation Important in Early Subcortical Brain Development
Harriet Cullen, Konstantina Dimitrakopoulou, Hamel Patel, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 8
Predictability of intelligence and age from structural connectomes
Sebastian J. Kopetzky, Yong Li, Marcus Kaiser, et al.
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0301599-e0301599
Open Access | Times Cited: 1
Differential maturation of the brain networks required for the sensory, emotional and cognitive aspects of pain in human newborns
Laura Jones, Dafnis Batallé, Judith Meek, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Comparative Evaluation of Interpretation Methods in Surface-Based Age Prediction for Neonates
Xiaotong Wu, Chenxin Xie, Fangxiao Cheng, et al.
NeuroImage (2024), pp. 120861-120861
Open Access | Times Cited: 1
Brain age prediction and deviations from normative trajectories in the neonatal connectome
Huili Sun, Saloni Mehta, Milana Khaitova, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Fully connected neural networks
Maria Deprez, Emma C. Robinson
Elsevier eBooks (2024), pp. 213-231
Closed Access
Development and Validation of a Paralimbic Related Subcortical Brain Dysmaturation MRI Score in Infants with Congenital Heart Disease
William Reynolds, Jodie K. Votava‐Smith, George C. Gabriel, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Brain age prediction and deviations from normative trajectories in the neonatal connectome
Huili Sun, Saloni Mehta, Milana Khaitova, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Methodological considerations on diffusion MRI tractography in infants aged 0–2 years: a scoping review
Anouk S. Verschuur, Regan King, Chantal M. W. Tax, et al.
Pediatric Research (2024)
Closed Access
Validation of a Paralimbic-Related Subcortical Brain Dysmaturation MRI Score in Infants with Congenital Heart Disease
William Reynolds, Jodie K. Votava‐Smith, George C. Gabriel, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 19, pp. 5772-5772
Open Access
Aperiodic parameters of the fMRI power spectrum associate with preterm birth and neonatal age
Ilkka Suuronen, Silja Luotonen, Henry Railo, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Determining regional brain growth in premature and mature infants in relation to age at MRI using deep neural networks
Farzad Beizaee, Michele Bona, Christian Desrosiers, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 1
A regional brain volume–based age prediction model for neonates and the derived brain maturation index
Sung‐Hwan Park, Hyun Gi Kim, Hyeonsik Yang, et al.
European Radiology (2023) Vol. 34, Iss. 6, pp. 3892-3902
Closed Access | Times Cited: 1
Neural Network for Neonatal Brain Age Prediction from Structural MR Images
Mateja Vuradin, Jelena Božek
International Symposium ELMAR (2023), pp. 83-86
Closed Access
Assessing brain maturation on neonatal MRI—do we need a more quantitative approach?
Birgit Ertl‐Wagner
European Radiology (2023) Vol. 34, Iss. 6, pp. 3889-3891
Closed Access
References

Elsevier eBooks (2023), pp. 271-273
Closed Access
Structural Reorganization Following a Brain Tumor: A Machine Learning Study Considering Desynchronized Functional Oscillations
Joan Falcó-Roget, Fabio Sambataro, Alberto Cacciola, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
Page 1

Scroll to top