A Comparative Study of <scp>IVIM</scp> ‐ <scp>MRI</scp> Fitting Techniques in Glioma Grading: Conventional, Bayesian, and Voxel‐Wise and Spatially‐Aware Deep Learning Approaches

Misha P. T. Kaandorp, Andras Jakab, Christian Federau, Peter T. While

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DOI: 10.1002/jmri.70301
Published: 2026-03-30
Container: Journal of Magnetic Resonance Imaging
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/jmri.70301,
  title = {A Comparative Study of
                    <scp>IVIM</scp>
                    ‐
                    <scp>MRI</scp>
                    Fitting Techniques in Glioma Grading: Conventional, Bayesian, and Voxel‐Wise and Spatially‐Aware Deep Learning Approaches},
  author = {Misha P. T. Kaandorp and Andras Jakab and Christian Federau and Peter T. While},
  year = {2026},
  journal = {Journal of Magnetic Resonance Imaging},
  doi = {10.1002/jmri.70301},
  url = {https://doi.org/10.1002/jmri.70301}
}

RIS

TY  - JOUR
TI  - A Comparative Study of
                    <scp>IVIM</scp>
                    ‐
                    <scp>MRI</scp>
                    Fitting Techniques in Glioma Grading: Conventional, Bayesian, and Voxel‐Wise and Spatially‐Aware Deep Learning Approaches
AU  - Misha P. T. Kaandorp
AU  - Andras Jakab
AU  - Christian Federau
AU  - Peter T. While
PY  - 2026
JO  - Journal of Magnetic Resonance Imaging
DO  - 10.1002/jmri.70301
UR  - https://doi.org/10.1002/jmri.70301
ER  -

APA

Kaandorp, M. P. T., Jakab, A., Federau, C., & While, P. T. (2026). A Comparative Study of <scp>IVIM</scp> ‐ <scp>MRI</scp> Fitting Techniques in Glioma Grading: Conventional, Bayesian, and Voxel‐Wise and Spatially‐Aware Deep Learning Approaches. Journal of Magnetic Resonance Imaging. https://doi.org/10.1002/jmri.70301

Source records

crossref · retrieved 2026-09-25T22:38:11.666Z