Representative functional connectivity learning for multiple clinical groups in alzheimer's disease
Proc IEEE Int Symp Biomed Imaging. 2023 Apr;2023:10.1109/isbi53787.2023.10230521. doi: 10.1109/isbi53787.2023.10230521. Epub 2023 Sep 1.ABSTRACTMild cognitive impairment (MCI) is a high-risk dementia condition which progresses to probable Alzheimer's disease (AD) at approximately 10% to 15% per year. Characterization of group-level differences between two subtypes of MCI - stable MCI (sMCI) and progressive MCI (pMCI) is the key step to understand the mechanisms of MCI progression and enable possible delay of transition from MCI to AD. Functional connectivity (FC) is considered as a promising way to study MCI progression si...
Source: Proceedings - International Symposium on Biomedical Imaging - February 28, 2024 Category: Radiology Authors: Lu Zhang Xiaowei Yu Yanjun Lyu Tianming Liu Dajiang Zhu Source Type: research

Supervised deep tree in alzheimer's disease
Proc IEEE Int Symp Biomed Imaging. 2023 Apr;2023:10.1109/isbi53787.2023.10230742. doi: 10.1109/isbi53787.2023.10230742. Epub 2023 Sep 1.ABSTRACTAs a progressive neurodegenerative disorder, the pathological changes of Alzheimer's disease (AD) might begin as much as two decades before the manifestation of clinical symptoms. Since the nature of the irreversible pathology of AD, early diagnosis provides a more tractable way for disease intervention and treatment. Therefore, numerous approaches have been developed for early diagnostic purposes. Although several important biomarkers have been established, most of the existing me...
Source: Proceedings - International Symposium on Biomedical Imaging - February 16, 2024 Category: Radiology Authors: Xiaowei Yu Lu Zhang Yanjun Lyu Tianming Liu Dajiang Zhu Source Type: research