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 # Joint learning for Alzheimer's disease
 
-**[MedIA 2023]** This is a code implementation of the **joint learning framework** proposed in the manuscript "**Joint learning Framework of cross-modal synthesis and diagnosis for Alzheimer's disease by mining underlying shared modality information**".[[Paper]](https://doi.org/10.1016/j.media.2023.103032) [[Supp.]](./readme_files/main_supp.pdf)
+**[MedIA 2024]** This is a code implementation of the **joint learning framework** proposed in the manuscript "**Joint learning Framework of cross-modal synthesis and diagnosis for Alzheimer's disease by mining underlying shared modality information**".[[Paper]](https://doi.org/10.1016/j.media.2023.103032) [[Supp.]](./readme_files/main_supp.pdf)
 
 ## Introduction
 Among various neuroimaging modalities used to diagnose AD, functional positron emission tomography (**PET**) has higher sensitivity than structural magnetic resonance imaging (**MRI**), but it is also **costlier and often not available** in many hospitals.