Brain tumor synthetic segmentation in 3D multimodal MRI scans
… , we provide a 3D synthetic volume for the next stage, segmentation. … the synthetic segmentation
that translated FLAIR MR images into high-contrast synthetic MR ones for segmentation. …
that translated FLAIR MR images into high-contrast synthetic MR ones for segmentation. …
[HTML][HTML] SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining
… Initial HR synthetic image After deforming the input segmentation, we generate an initial
synthetic scan G at HR by sampling a GMM conditioned on L (Fig. 3c). For convenience, we …
synthetic scan G at HR by sampling a GMM conditioned on L (Fig. 3c). For convenience, we …
Whole brain segmentation and labeling from CT using synthetic MR images
… contrast; very few segmentation methods have been reported to … This paper presents a
whole brain segmentation and … the synthetic MR image in a standard pipeline for whole brain …
whole brain segmentation and … the synthetic MR image in a standard pipeline for whole brain …
TuMore: generation of synthetic brain tumor MRI data for deep learning based segmentation approaches
L Lindner, B Pfarrkirchner, C Gsaxner… - Medical Imaging …, 2018 - spiedigitallibrary.org
… ) and four brain MRI images containing synthetic glioblastomas with … synthetic brain MRI
data. As can be seen by comparing the real MRI images in the upper row and the synthetic MRI …
data. As can be seen by comparing the real MRI images in the upper row and the synthetic MRI …
SyMRI of the brain: rapid quantification of relaxation rates and proton density, with synthetic MRI, automatic brain segmentation, and myelin measurement
… the detectability of brain metastases using synthetic MRI after adjusting the contrast for each
patient. Because contrast-enhanced FLAIR can be created after quantitative MRI, SyMRI is …
patient. Because contrast-enhanced FLAIR can be created after quantitative MRI, SyMRI is …
Using a generative adversarial network to generate synthetic MRI images for multi-class automatic segmentation of brain tumors
… -label automatic segmentation of brain tumors to synthetic images when … segmentation were
used. This dataset was used for training the Pix2PixNIfTI model for generating synthetic MRI …
used. This dataset was used for training the Pix2PixNIfTI model for generating synthetic MRI …
Comprehensive analysis of synthetic learning applied to neonatal brain MRI segmentation
R Valabregue, F Girka, A Pron… - Human Brain …, 2024 - Wiley Online Library
… in generating an MRI volume from the label set by sampling the intensity of the voxels of
each tissue from different Gaussian distributions, resulting in a synthetic MRI with a random …
each tissue from different Gaussian distributions, resulting in a synthetic MRI with a random …
Synthetic brain MRI: review of current concepts and future directions
FG Gonçalves, SD Serai, G Zuccoli - … in Magnetic Resonance …, 2018 - journals.lww.com
… Based on relaxometry maps, synthetic magnetic resonance imaging can also perform brain
tissue segmentation and myelin quantification without additional scan time. The quantitative …
tissue segmentation and myelin quantification without additional scan time. The quantitative …
Synthetic ground truth for validation of brain tumor MRI segmentation
M Prastawa, E Bullitt, G Gerig - International Conference on Medical Image …, 2005 - Springer
… include most of the challenges for segmentation. The synthetic MRI and the ground truth
allows for the validation of the segmentation of the whole brain, which includes white matter, …
allows for the validation of the segmentation of the whole brain, which includes white matter, …
Synthetic MRI: technologies and applications in neuroradiology
… of synthetic MRI methods and their clinical applications in neuroradiology. Based on this
analysis, we highlight areas that need to be addressed for synthetic MRI … for brain segmentation, …
analysis, we highlight areas that need to be addressed for synthetic MRI … for brain segmentation, …
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