Latent Representation Learning for Alzheimer’s Disease Diagnosis With Incomplete Multi-Modality Neuroimaging and Genetic Data
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2019.2913158
Abstract: The fusion of complementary information contained in multi-modality data [e.g., magnetic resonance imaging (MRI), positron emission tomography (PET), and genetic data] has advanced the progress of automated Alzheimer’s disease (AD) diagnosis. However, multi-modality based AD… read more here.
Keywords: diagnosis; modality; latent representation; modality data ... See more keywords
Relation-aware Shared Representation Learning for Cancer Prognosis Analysis with Auxiliary Clinical Variables and Incomplete Multi-modality Data.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on medical imaging"
DOI: 10.1109/tmi.2021.3108802
Abstract: The integrative analysis of complementary phenotype information contained in multi-modality data (e.g., histopathological images and genomic data) has advanced the prognostic evaluation of cancers. However, multi-modality based prognosis analysis confronts two challenges: (1) how to… read more here.
Keywords: incomplete multi; analysis; modality data; modality ... See more keywords