Encoding and decoding multimodal brain images for disease biomarker discovery
Many neurodegenerative diseases (such as Alzheimer’s disease) and neuropsychiatric disorders (such as schizophrenia) are still poorly understood. While incorporating multimodal datasets (structural and functional) would provide a more complete picture of these neurological conditions, existing studi...
Saved in:
Main Author: | Chan, Yi Hao |
---|---|
Other Authors: | Jagath C Rajapakse |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/173338 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Pruning deep neural networks for encoding and decoding the human connectome
by: Tang, Sean
Published: (2021) -
Networks-based brain computer interfaces for decoding neurophysiological dynamics
by: Chouhan, Tushar
Published: (2020) -
Decoding graph neural networks for prediction of alzheimer's disease from neuroimaging and omics datasets
by: Chockalingam Kasi
Published: (2023) -
Multimodal deception detection in videos
by: Syazwan Bin Jainal
Published: (2023) -
Multimodal continuous emotion analysis
by: Zhang, Su
Published: (2023)