计算可视媒体（英文）2025，Vol.11Issue(2)：241-268,28.DOI:10.26599/CVM.2025.9450399
Addressing missing modality challenges in MRI images:A comprehensive review
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. 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
- 折叠
摘要
关键词
missing modality/survey/deep learning/magnetic resonance imaging(MRI)Key words
missing modality/survey/deep learning/magnetic resonance imaging(MRI)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].计算可视媒体（英文）,2025,11(2):241-268,28.基金项目
This work was funded by the German Research Foundation(Deutsche Forschungsgemeinschaft,DFG)under project numbers 191948804 and 455548460. （Deutsche Forschungsgemeinschaft,DFG）
