Sparse deep neural network for encoding and decoding the structural connectome
Brain state classification by applying deep learning techniques on neuroimaging data has become a recent topic of research. However, unlike domains where the data is low dimensional or there are large number of available training samples, neuroimaging data is high dimensional and has few training sa...
Saved in:
Main Authors: | Singh, Satya P., Gupta, Sukrit, Rajapakse, Jagath Chandana |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/175759 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Decoding task specific and task general functional architectures of the brain
by: Gupta, Sukrit, et al.
Published: (2022) -
Pruning deep neural networks for encoding and decoding the human connectome
by: Tang, Sean
Published: (2021) -
Multi-modal graph neural network for early diagnosis of Alzheimer's disease from sMRI and PET scans
by: Zhang, Yanteng, et al.
Published: (2023) -
Low-power cooling codes with efficient encoding and decoding
by: Chee, Yeow Meng, et al.
Published: (2020) -
Efficient encoding/decoding of irreducible words for codes correcting tandem duplications
by: Chee, Yeow Meng, et al.
Published: (2020)