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Found 5 papers, 1 papers with code
Linking Symptom Inventories using Semantic Textual Similarity
An extensive library of symptom inventories has been developed over time to measure clinical symptoms, but this variety has led to several long standing issues.
Artificial intelligence-based locoregional markers of brain peritumoral microenvironment
In malignant primary brain tumors, cancer cells infiltrate into the peritumoral brain structures which results in inevitable recurrence.
Longitudinal abnormalities in white matter extracellular free water volume fraction and neuropsychological functioning in patients with traumatic brain injury
The summary specific anomaly score (SAS) for VF was significantly higher in TBI patients in the subacute and chronic post-injury period relative to controls.
3D-QCNet -- A Pipeline for Automated Artifact Detection in Diffusion MRI images
Several QC methods for artifact detection exist, however they suffer from problems like requiring manual intervention and the inability to generalize across different artifacts and datasets.
QC-Automator: Deep Learning-based Automated Quality Control for Diffusion MR Images
QC-Automator uses convolutional neural networks along with transfer learning to train the automated artifact detection on a labeled dataset of ~332000 slices of dMRI data, from 155 unique subjects and 5 scanners with different dMRI acquisitions, achieving a 98% accuracy in detecting artifacts.
