Papers with Code 아카이브
Skull Stripping
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
MindGrab for BrainChop: Fast and Accurate Skull Stripping for Command Line and Browser
How We Won the ISLES'24 Challenge by Preprocessing
Skull stripping with purely synthetic data
DISARM++: Beyond scanner-free harmonization
PhaseGen: A Diffusion-Based Approach for Complex-Valued MRI Data Generation
Pfungst and Clever Hans: Identifying the unintended cues in a widely used Alzheimer's disease MRI dataset using explainable deep learning
Unsupervised Skull Segmentation via Contrastive MR-to-CT Modality Translation
Domain Influence in MRI Medical Image Segmentation: spatial versus k-space inputs
Boosting Skull-Stripping Performance for Pediatric Brain Images
Longitudinal Volumetric Study for the Progression of Alzheimer's Disease from Structural MRI
Brain MRI Segmentation using Template-Based Training and Visual Perception Augmentation
Neural Pre-Processing: A Learning Framework for End-to-end Brain MRI Pre-processing
Attention-based convolutional neural network for perfusion T2-weighted MR images preprocessing
Towards fully automated deep-learning-based brain tumor segmentation: is brain extraction still necessary?
Performance Evaluation of Vanilla, Residual, and Dense 2D U-Net Architectures for Skull Stripping of Augmented 3D T1-weighted MRI Head Scans
Wide Range MRI Artifact Removal with Transformers
Detection and Classification of Brain tumors Using Deep Convolutional Neural Networks
k-strip: A novel segmentation algorithm in k-space for the application of skull stripping
Negligible effect of brain MRI data preprocessing for tumor segmentation
SynthStrip: Skull-Stripping for Any Brain Image
Plug-and-play Shape Refinement Framework for Multi-site and Lifespan Brain Skull Stripping
Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy
Disease-oriented image embedding with pseudo-scanner standardization for content-based image retrieval on 3D brain MRI
Automatic cerebral hemisphere segmentation in rat MRI with lesions via attention-based convolutional neural networks
Brain Surface Reconstruction from MRI Images Based on Segmentation Networks Applying Signed Distance Maps
Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast
A survey of loss functions for semantic segmentation
Robust Automatic Whole Brain Extraction on Magnetic Resonance Imaging of Brain Tumor Patients using Dense-Vnet
Bayesian convolutional neural network based MRI brain extraction on nonhuman primates
ACEnet: Anatomical Context-Encoding Network for Neuroanatomy Segmentation
Context-endcoding for neural network based skull stripping in magnetic resonance imaging
FRNET: Flattened Residual Network for Infant MRI Skull Stripping
Training of a Skull-Stripping Neural Network with efficient data augmentation
Convolutional Neural Networks for Skull-stripping in Brain MR Imaging using Consensus-based Silver standard Masks
CompNet: Complementary Segmentation Network for Brain MRI Extraction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.