Multiscale Contextual Mamba: Advancing Psychiatric Disorder Detection across Multisite Functional Magnetic Resonance Imaging Datasets via State Space Modeling
Background: Major depressive disorder (MDD) and autism spectrum disorder (ASD) are complex and heterogeneous neuropsychiatric disorders with overlapping symptoms, presenting remarkable challenges for accurate diagnosis. Leveraging functional neuroimaging data offers an opportunity to develop more ro...
Saved in:
| Main Authors: | Shusheng Li, Yang Bo, Yuchu Chen, Jianfeng Cao, Bo Bi, Ting Ma, Chenfei Ye |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
American Association for the Advancement of Science (AAAS)
2025-01-01
|
| Series: | Health Data Science |
| Online Access: | https://spj.science.org/doi/10.34133/hds.0224 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
MAVM-UNet: multiscale aggregated vision MambaU-Net for field rice pest detection
by: Congqi Zhang, et al.
Published: (2025-08-01) -
Advancing Early Detection of Major Depressive Disorder Using Multisite Functional Magnetic Resonance Imaging Data: Comparative Analysis of AI Models
by: Masab Mansoor, et al.
Published: (2025-07-01) -
A comprehensive dataset of magnetic resonance enterography images with intestinal segment annotations
by: Zhangnan Zhong, et al.
Published: (2025-03-01) -
SnowMamba: Achieving More Precise Snow Removal with Mamba
by: Guoqiang Wang, et al.
Published: (2025-05-01) -
ET-Mamba: A Mamba Model for Encrypted Traffic Classification
by: Jian Xu, et al.
Published: (2025-04-01)