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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:

Tractography and machine learning: Current state and open challenges
Philippe Poulin, Daniel Jörgens, Pierre‐Marc Jodoin, et al.
Magnetic Resonance Imaging (2019) Vol. 64, pp. 37-48
Open Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

Leakage and the reproducibility crisis in machine-learning-based science
Sayash Kapoor, Arvind Narayanan
Patterns (2023) Vol. 4, Iss. 9, pp. 100804-100804
Open Access | Times Cited: 238
Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review
Fan Zhang, Alessandro Daducci, Yong He, et al.
NeuroImage (2022) Vol. 249, pp. 118870-118870
Open Access | Times Cited: 188
Common misconceptions, hidden biases and modern challenges of dMRI tractography
François Rheault, Philippe Poulin, Alex Valcourt Caron, et al.
Journal of Neural Engineering (2020) Vol. 17, Iss. 1, pp. 011001-011001
Closed Access | Times Cited: 106
Deep white matter analysis (DeepWMA): Fast and consistent tractography segmentation
Fan Zhang, Süheyla Çetin Karayumak, Nico Hoffmann, et al.
Medical Image Analysis (2020) Vol. 65, pp. 101761-101761
Open Access | Times Cited: 85
Brain connections derived from diffusion MRI tractography can be highly anatomically accurate—if we know where white matter pathways start, where they end, and where they do not go
Kurt G. Schilling, Laurent Petit, François Rheault, et al.
Brain Structure and Function (2020) Vol. 225, Iss. 8, pp. 2387-2402
Open Access | Times Cited: 76
Prevalence of white matter pathways coming into a single white matter voxel orientation: The bottleneck issue in tractography
Kurt G. Schilling, Chantal M. W. Tax, François Rheault, et al.
Human Brain Mapping (2021) Vol. 43, Iss. 4, pp. 1196-1213
Open Access | Times Cited: 73
Streamline tractography of the fetal brain in utero with machine learning
Weide Liu, Camilo Calixto, Simon K. Warfield, et al.
Imaging Neuroscience (2025)
Open Access | Times Cited: 1
Deep learning based tractography with TractSeg in patients with hemispherotomy: Evaluation and refinement
Johannes Gruen, Tobias Bauer, Theodor Rüber, et al.
NeuroImage Clinical (2025), pp. 103738-103738
Open Access | Times Cited: 1
Clinical applications of magnetic resonance imaging based functional and structural connectivity
Chengyuan Wu, Francisca Ferreira, Michael Fox, et al.
NeuroImage (2021) Vol. 244, pp. 118649-118649
Open Access | Times Cited: 38
TractoInferno - A large-scale, open-source, multi-site database for machine learning dMRI tractography
Philippe Poulin, Guillaume Theaud, François Rheault, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 25
Machine learning in tractography
Peter Neher, Philippe Poulin, Daniel Jörgens, et al.
Elsevier eBooks (2025), pp. 315-345
Closed Access
Current challenges and opportunities for tractography
François Rheault, Philippe Poulin, Alex Valcourt Caron, et al.
Elsevier eBooks (2025), pp. 565-580
Closed Access
Connectivity and connectomics
Andrew Zalesky, Stamatios N. Sotiropoulos, Saâd Jbabdi, et al.
Elsevier eBooks (2025), pp. 451-484
Closed Access
Structural connectome construction using constrained spherical deconvolution in multi-shell diffusion-weighted magnetic resonance imaging
Marlene Tahedl, Jacques‐Donald Tournier, Robert E. Smith
Nature Protocols (2025)
Closed Access
A Riemannian framework for incorporating white matter bundle prior in orientation distribution function based tractography algorithms
Thomas Durantel, Gabriel Girard, Emmanuel Caruyer, et al.
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0304449-e0304449
Open Access
Toward nonparametric diffusion‐ characterization of crossing fibers in the human brain
Alexis Reymbaut, Julia Critchley, Giuliana Durighel, et al.
Magnetic Resonance in Medicine (2020) Vol. 85, Iss. 5, pp. 2815-2827
Open Access | Times Cited: 32
Learning to estimate the fiber orientation distribution function from diffusion-weighted MRI
Davood Karimi, Lana Vasung, Camilo Jaimes, et al.
NeuroImage (2021) Vol. 239, pp. 118316-118316
Open Access | Times Cited: 32
Predicting an individual’s functional connectivity from their structural connectome: Evaluation of evidence, recommendations, and future prospects
Andrew Zalesky, Tabinda Sarwar, Ye Tian, et al.
Network Neuroscience (2024) Vol. 8, Iss. 4, pp. 1291-1309
Open Access | Times Cited: 4
Diffusion MRI with Machine Learning
Davood Karimi, Simon K. Warfield
Imaging Neuroscience (2024) Vol. 2, pp. 1-55
Open Access | Times Cited: 4
A transfer learning approach to few-shot segmentation of novel white matter tracts
Qi Lu, Wan Liu, Zhizheng Zhuo, et al.
Medical Image Analysis (2022) Vol. 79, pp. 102454-102454
Closed Access | Times Cited: 17
Fibre orientation atlas guided rapid segmentation of white matter tracts
Fiona Young, Kristian Aquilina, Kiran K. Seunarine, et al.
Human Brain Mapping (2024) Vol. 45, Iss. 2
Open Access | Times Cited: 3
Track-to-Learn: A general framework for tractography with deep reinforcement learning
Antoine Théberge, Christian Desrosiers, Maxime Descoteaux, et al.
Medical Image Analysis (2021) Vol. 72, pp. 102093-102093
Open Access | Times Cited: 20
Generative Sampling in Bundle Tractography using Autoencoders (GESTA)
Jon Haitz Legarreta, Laurent Petit, Pierre‐Marc Jodoin, et al.
Medical Image Analysis (2023) Vol. 85, pp. 102761-102761
Open Access | Times Cited: 8
Deep Learning Methods for Identification of White Matter Fiber Tracts: Review of State-of-the-Art and Future Prospective
Nayereh Ghazi, Mohammad Hadi Aarabi, Hamid Soltanian‐Zadeh
Neuroinformatics (2023) Vol. 21, Iss. 3, pp. 517-548
Closed Access | Times Cited: 8
Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context
Leon Y. Cai, Ho Hin Lee, Nancy R. Newlin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 7
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