Functional connectivity MRI quality control procedures in CONN
F Morfini, S Whitfield-Gabrieli… - Frontiers in …, 2023 - frontiersin.org
Quality control (QC) for functional connectivity magnetic resonance imaging (FC-MRI) is
critical to ensure the validity of neuroimaging studies. Noise confounds are common in MRI …
critical to ensure the validity of neuroimaging studies. Noise confounds are common in MRI …
Atlas-Based Labeling of Resting-State fMRI
H Kambli, A Santamaria-Pang, I Tarapov… - Brain …, 2024 - liebertpub.com
Background: Functional magnetic resonance imaging (fMRI) has the potential to provide
noninvasive functional mapping of the brain with high spatial and temporal resolution …
noninvasive functional mapping of the brain with high spatial and temporal resolution …
Quality control procedures and metrics for resting-state functional MRI
RM Birn - Frontiers in Neuroimaging, 2023 - frontiersin.org
The monitoring and assessment of data quality is an essential step in the acquisition and
analysis of functional MRI (fMRI) data. Ideally data quality monitoring is performed while the …
analysis of functional MRI (fMRI) data. Ideally data quality monitoring is performed while the …
mTBI-DSANet: A deep self-attention model for diagnosing mild traumatic brain injury using multi-level functional connectivity networks
J Teng, C Mi, W Liu, J Shi, N Li - Computers in Biology and Medicine, 2023 - Elsevier
The main approach for analyzing resting-state functional magnetic resonance imaging (rs-
fMRI) is the low-order functional connectivity network (LoFCN) based on the correlation …
fMRI) is the low-order functional connectivity network (LoFCN) based on the correlation …
Enhancing Sika Deer Identification: Integrating CNN-Based Siamese Networks with SVM Classification
S Sharma, S Timilsina, BP Gautam, S Watanabe… - Electronics, 2024 - mdpi.com
Accurately identifying individual wildlife is critical to effective species management and
conservation efforts. However, it becomes particularly challenging when distinctive features …
conservation efforts. However, it becomes particularly challenging when distinctive features …
HE-Mind: A model for automatically predicting hematoma expansion after spontaneous intracerebral hemorrhage
Z Zhou, W Chen, R Yu, Y Chen, X Li, H Zhou… - European Journal of …, 2024 - Elsevier
Purpose To develop and validate an end-to-end model for automatically predicting
hematoma expansion (HE) after spontaneous intracerebral hemorrhage (sICH) using a …
hematoma expansion (HE) after spontaneous intracerebral hemorrhage (sICH) using a …
Identifying Functional Brain Networks of Spatiotemporal Wide-Field Calcium Imaging Data via a Long Short-Term Memory Autoencoder
Wide-field calcium imaging (WFCI) that records neural calcium dynamics allows for
identification of functional brain networks (FBNs) in mice that express genetically encoded …
identification of functional brain networks (FBNs) in mice that express genetically encoded …
Identifying reproducible resting state networks and functional connectivity alterations following chronic restraint stress in anaesthetized rats
Background Resting-state functional MRI (rs-fMRI) in rodent models have the potential to
bridge invasive experiments and observational human studies, increasing our …
bridge invasive experiments and observational human studies, increasing our …
Automatic classification of MRI contrasts using a deep Siamese network and one-shot learning
Y Chou, SW Remedios, JA Butman… - Medical Imaging 2022 …, 2022 - spiedigitallibrary.org
Fully automatic classification of magnetic resonance (MR) brain images into different
contrasts is desirable for facilitating image processing pipelines, as well as for indexing and …
contrasts is desirable for facilitating image processing pipelines, as well as for indexing and …
Deep Labeling of fMRI Brain Networks
AAP Latheef, S Ghate, Z Hui… - arXiv preprint arXiv …, 2023 - arxiv.org
Resting State Networks (RSNs) of the brain extracted from Resting State functional Magnetic
Resonance Imaging (RS-fMRI) are used in the pre-surgical planning to guide the …
Resonance Imaging (RS-fMRI) are used in the pre-surgical planning to guide the …