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Addressing missing modality challenges in MRI images:A comprehensive review

Reza Azad Mohammad Dehghanmanshadi Nika Khosravi Julien Cohen-Adad Dorit Merhof

Computational Visual Media2025，Vol.11Issue(2)：P.241-268,28.

Computational Visual Media2025，Vol.11Issue(2)：P.241-268,28.DOI:10.26599/CVM.2025.9450399

Addressing missing modality challenges in MRI images:A comprehensive review

Reza Azad ¹Mohammad Dehghanmanshadi ²Nika Khosravi ¹Julien Cohen-Adad ³Dorit Merhof⁴

作者信息

1. Faculty of Electrical Engineering and Information Technology,RWTH Aachen University,Aachen 52074,Germany
2. N.Khosravi,khosravi@hia.rwth-aachen.de.2 School of Advanced Technologies in Medicine,Iran University of Medical Sciences,Tehran 14496-14535,Iran
3. NeuroPoly Lab,Institute of Biomedical Engineering,Polytechnique Montreal,Montreal H3T 1J4,Canada Functional Neuroimaging Unit,CRIUGM,University of Montreal,Montreal H3T 1J4,Canada MILA,Quebec AI Institute,Montreal H2S 3H1,Canada
4. Faculty of Electrical Engineering and Information Technology,RWTH Aachen University,Aachen 52074,Germany Faculty of Informatics and Data Science,University of Regensburg,Regensburg 93053,Germany Fraunhofer Institute for Digital Medicine MEVIS,Bremen 28359,Germany
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摘要

关键词

missing modality/survey/deep learning/magnetic resonance imaging(MRI)

分类

医药卫生

引用本文复制引用

Reza Azad,Mohammad Dehghanmanshadi,Nika Khosravi,Julien Cohen-Adad,Dorit Merhof..Addressing missing modality challenges in MRI images:A comprehensive review[J].Computational Visual Media,2025,11(2):P.241-268,28.

基金项目

funded by the German Research Foundation(Deutsche Forschungsgemeinschaft,DFG)under project numbers 191948804 and 455548460. （Deutsche Forschungsgemeinschaft,DFG）

Computational Visual Media

ISSN：2096-0433

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