Skull Stripping

12 papers with code • 0 benchmarks • 0 datasets

This task has no description! Would you like to contribute one?

Latest papers with no code

Boosting Skull-Stripping Performance for Pediatric Brain Images

no code yet • 26 Feb 2024

With the emergence of multi-institutional pediatric data acquisition efforts to broaden the understanding of perinatal brain development, it is essential to develop robust and well-tested tools ready for the relevant data processing.

Longitudinal Volumetric Study for the Progression of Alzheimer's Disease from Structural MRI

no code yet • 9 Oct 2023

Alzheimer's Disease (AD) is an irreversible neurodegenerative disorder affecting millions of individuals today.

Brain MRI Segmentation using Template-Based Training and Visual Perception Augmentation

no code yet • 4 Aug 2023

Deep learning models usually require sufficient training data to achieve high accuracy, but obtaining labeled data can be time-consuming and labor-intensive.

Attention-based convolutional neural network for perfusion T2-weighted MR images preprocessing

no code yet • 4 Mar 2023

Accurate skull-stripping is crucial preprocessing in dynamic susceptibility contrast-enhanced perfusion magnetic resonance data analysis.

Performance Evaluation of Vanilla, Residual, and Dense 2D U-Net Architectures for Skull Stripping of Augmented 3D T1-weighted MRI Head Scans

no code yet • 29 Nov 2022

Skull Stripping is a requisite preliminary step in most diagnostic neuroimaging applications.

Wide Range MRI Artifact Removal with Transformers

no code yet • 14 Oct 2022

Our method is realized through the design of a novel volumetric transformer-based neural network that generalizes a \emph{window-centered} approach popularized by the Swin transformer.

Detection and Classification of Brain tumors Using Deep Convolutional Neural Networks

no code yet • 28 Aug 2022

Tumour in the brain is fatal as it may be cancerous, so it can feed on healthy cells nearby and keep increasing in size.

k-strip: A novel segmentation algorithm in k-space for the application of skull stripping

no code yet • 19 May 2022

Results: Both datasets were very similar to the ground truth (DICE scores of 92\%-98\% and Hausdorff distances of under 5. 5 mm).

SynthStrip: Skull-Stripping for Any Brain Image

no code yet • 18 Mar 2022

The removal of non-brain signal from magnetic resonance imaging (MRI) data, known as skull-stripping, is an integral component of many neuroimage analysis streams.

Plug-and-play Shape Refinement Framework for Multi-site and Lifespan Brain Skull Stripping

no code yet • 8 Mar 2022

For instance, the model trained on a dataset with specific imaging parameters cannot be well applied to other datasets with different imaging parameters.