Addressing missing modality challenges in MRI images:A comprehensive reviewOA
Addressing missing modality challenges in MRI images:A comprehensive review
Reza Azad;Mohammad Dehghanmanshadi;Nika Khosravi;Julien Cohen-Adad;Dorit Merhof
Faculty of Electrical Engineering and Information Technology,RWTH Aachen University,Aachen 52074,GermanySchool of Advanced Technologies in Medicine,Iran University of Medical Sciences,Tehran 14496-14535,IranFaculty of Electrical Engineering and Information Technology,RWTH Aachen University,Aachen 52074,GermanyNeuroPoly 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,CanadaFaculty 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
missing modalitysurveydeep learningmagnetic resonance imaging(MRI)
missing modalitysurveydeep learningmagnetic resonance imaging(MRI)
《计算可视媒体（英文）》 2025 (2)
241-268,28
This work was funded by the German Research Foundation(Deutsche Forschungsgemeinschaft,DFG)under project numbers 191948804 and 455548460.
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