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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:

Improved unsupervised physics‐informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients
Misha Kaandorp, Sebastiano Barbieri, Remy Klaassen, et al.
Magnetic Resonance in Medicine (2021) Vol. 86, Iss. 4, pp. 2250-2265
Open Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

Artificial intelligence in pancreatic cancer
Bowen Huang, Haoran Huang, Shuting Zhang, et al.
Theranostics (2022) Vol. 12, Iss. 16, pp. 6931-6954
Open Access | Times Cited: 70
A Clinical Decision Support System for Heart Disease Prediction Using Deep Learning
Abdulwahab Ali Almazroi, Eman Aldhahri, Saba Bashir, et al.
IEEE Access (2023) Vol. 11, pp. 61646-61659
Open Access | Times Cited: 38
Physics-informed radial basis network (PIRBN): A local approximating neural network for solving nonlinear partial differential equations
Jinshuai Bai, Guirong Liu, Ashish Gupta, et al.
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 415, pp. 116290-116290
Open Access | Times Cited: 34
Deep learning DCE-MRI parameter estimation: Application in pancreatic cancer
Tim Ottens, Sebastiano Barbieri, Matthew Orton, et al.
Medical Image Analysis (2022) Vol. 80, pp. 102512-102512
Open Access | Times Cited: 32
Intrapancreatic fat deposition is unrelated to liver steatosis in metabolic dysfunction-associated steatotic liver disease
Anne Linde Mak, Nienke Wassenaar, Anne‐Marieke van Dijk, et al.
JHEP Reports (2024) Vol. 6, Iss. 3, pp. 100998-100998
Open Access | Times Cited: 6
Self‐supervised IVIM DWI parameter estimation with a physics based forward model
Serge Vasylechko, Simon K. Warfield, Onur Afacan, et al.
Magnetic Resonance in Medicine (2021) Vol. 87, Iss. 2, pp. 904-914
Open Access | Times Cited: 40
Neural networks for parameter estimation in microstructural MRI: Application to a diffusion-relaxation model of white matter
J. Martins, Markus Nilsson, Björn Lampinen, et al.
NeuroImage (2021) Vol. 244, pp. 118601-118601
Open Access | Times Cited: 34
The future of MRI in radiation therapy: Challenges and opportunities for the MR community
Rosie Goodburn, M.E.P. Philippens, Thierry Lefebvre, et al.
Magnetic Resonance in Medicine (2022) Vol. 88, Iss. 6, pp. 2592-2608
Open Access | Times Cited: 24
Physics-integrated neural differentiable (PiNDiff) model for composites manufacturing
Deepak Akhare, Tengfei Luo, Jianxun Wang
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 406, pp. 115902-115902
Open Access | Times Cited: 11
Explicit Physics-Informed Deep Learning for Computer-Aided Diagnostic Tasks in Medical Imaging
Shira Nemirovsky-Rotman, E. Bercovich
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 1, pp. 385-401
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
Retrospective BReast Intravoxel Incoherent Motion Multisite (BRIMM) multisoftware study
Dibash Basukala, Artem Mikheev, Xiaochun Li, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
An extragradient and noise-tuning adaptive iterative network for diffusion MRI-based microstructural estimation
Tianshu Zheng, Chuyang Ye, Zhaopeng Cui, et al.
Medical Image Analysis (2025), pp. 103535-103535
Closed Access
Tissue classification from raw diffusion‐weighted images using machine learning
Guangyu Dan, Cui Feng, Zheng Zhong, et al.
Medical Physics (2025)
Open Access
Leveraging deep learning for improving parameter extraction from perfusion MR images: A narrative review
Elisa Scalco, Giovanna Rizzo, Nicola Bertolino, et al.
Physica Medica (2025) Vol. 133, pp. 104978-104978
Open Access
The self‐supervised fitting method based on similar neighborhood information of voxels for intravoxel incoherent motion diffusion‐weighted MRI
Lingfeng Luo, Chen Ye, Tianxian Li, et al.
Medical Physics (2025)
Closed Access
A supervised deep neural network approach with standardized targets for enhanced accuracy of IVIM parameter estimation from multi‐SNR images
Alfonso Mastropietro, Daniele Procissi, Elisa Scalco, et al.
NMR in Biomedicine (2022) Vol. 35, Iss. 10
Open Access | Times Cited: 17
The stability of oncologic MRI radiomic features and the potential role of deep learning: a review
Elisa Scalco, Giovanna Rizzo, Alfonso Mastropietro
Physics in Medicine and Biology (2022) Vol. 67, Iss. 9, pp. 09TR03-09TR03
Closed Access | Times Cited: 16
Deep learning intravoxel incoherent motion modeling: Exploring the impact of training features and learning strategies
Misha Kaandorp, Frank Zijlstra, Christian Federau, et al.
Magnetic Resonance in Medicine (2023) Vol. 90, Iss. 1, pp. 312-328
Closed Access | Times Cited: 10
Comparison of methods for intravoxel incoherent motion parameter estimation in the brain from flow‐compensated and non‐flow‐compensated diffusion‐encoded data
Oscar Jalnefjord, Isabella M. Björkman‐Burtscher
Magnetic Resonance in Medicine (2024) Vol. 92, Iss. 1, pp. 303-318
Open Access | Times Cited: 3
Probabilistic physics-integrated neural differentiable modeling for isothermal chemical vapor infiltration process
Deepak Akhare, Zeping Chen, Richard Gulotty, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 3
Bayesian inference using hierarchical and spatial priors for intravoxel incoherent motion MR imaging in the brain: Analysis of cancer and acute stroke
Georg Spinner, Christian Federau, Kozerke Sebastian
Medical Image Analysis (2021) Vol. 73, pp. 102144-102144
Open Access | Times Cited: 22
Probing Renal Microstructure and Function with Advanced Diffusion MRI: Concepts, Applications, Challenges, and Future Directions
Julia Stabinska, Hans‐Jörg Wittsack, Lilach O. Lerman, et al.
Journal of Magnetic Resonance Imaging (2023) Vol. 60, Iss. 4, pp. 1259-1277
Closed Access | Times Cited: 8
Improving microstructural integrity, interstitial fluid, and blood microcirculation images from multi‐b‐value diffusion MRI using physics‐informed neural networks in cerebrovascular disease
Paulien H.M. Voorter, Walter H. Backes, Oliver J. Gurney‐Champion, et al.
Magnetic Resonance in Medicine (2023) Vol. 90, Iss. 4, pp. 1657-1671
Open Access | Times Cited: 7
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