Mouse brain MR super|resolution using a deep learning network ...

Mouse brain MR super-resolution using a deep learning network ...

Our results suggest that deep learning SR networks trained using high-resolution data of a different modality can be applied to MRI data after transfer ...

Mouse brain MR super-resolution using a deep learning network ...

The resolution of magnetic resonance imaging is often limited at the millimeter level due to its inherent signal-to-noise disadvantage compared to other ...

Mouse brain MR super-resolution using a deep learning network ...

Super-resolution (SR) of MRI data aims to enhance its resolution and diagnostic value. While deep learning-based SR has shown potential, its ...

Mouse brain MR super-resolution using a deep learning network ...

Using transfer learning and a limited set of high-resolution mouse brain MRI data, we were able to fine-tune the initial network trained using ...

Mouse brain MR super-resolution using a deep learning ... - Altmetric

Mouse brain MR super-resolution using a deep learning network trained with optical imaging data. Published in. Frontiers in Radiology, May 2023. DOI, 10.3389 ...

Mouse brain MR super-resolution using a deep learning network ...

IntroductionThe resolution of magnetic resonance imaging is often limited at the millimeter level due to its inherent signal-to-noise disadvantage compared ...

Resolution Enhancement of Brain MRI Images Using Deep Learning

Mouse brain MR super-resolution using a deep learning network trained with optical imaging data. Front. Radiol. 2023,3, 1155866. [CrossRef] ...

Deep learning-based super-resolution and denoising algorithm ...

Dynamic contrast-enhanced MRI (DCE-MRI) is increasingly used to non-invasively image blood-brain barrier leakage, yet its clinical utility ...

Resolution Enhancement of Brain MRI Images Using Deep Learning

Mouse brain MR super-resolution using a deep learning network trained with optical imaging data. Front. Radiol. 2023, 3, 1155866. [Google ...

Deep Learning Based Super-resolution of Diffusion MRI Data - ISMRM

For testing, we used optical data as well as post-mortem mouse brain T2 and ... Multiscale brain MRI super-resolution using deep 3D convolutional networks.

Generalizing the Enhanced-Deep-Super-Resolution Neural Network ...

In this work, we propose to apply the 2D EDSR model to MR brain images of human healthy subjects from different sequences, with 2× as up- ...

Super-resolution of brain MRI images based on denoising diffusion ...

Different deep-learning frameworks have been proposed to generate high-resolution brain MRI images, such as coupled-projection residual networks [8], ...

[PDF] Brain MRI super resolution using 3D deep densely connected ...

A new neural network architecture, 3D Densely Connected Super-Resolution Networks (DCSRN) is introduced to restore HR features of structural brain MR images ...

Virtual mouse brain histology from multi-contrast MRI via deep ...

Deep convolutional neural networks can generate virtual histology from magnetic resonance imaging (MRI) data to map cellular structures in ...

Deep learning super-resolution magnetic resonance spectroscopic ...

The performance of deep neuronal networks was evaluated on MRSI data measured in 20 glioma patients and 10 healthy controls at 3T with a whole-brain 3D MRSI ...

[PDF] Multiscale brain MRI super-resolution using deep 3D ...

A new neural network architecture, 3D Densely Connected Super-Resolution Networks (DCSRN) is introduced to restore HR features of structural brain MR images ...

DeepStream-MRI

Info/Github · AFT-Net and CU-Net · Accelerated MRI and Super-resolution recontruction · DL-BET: Deep Learning based Brain Extraction Tool · Cycle Inverse Consistent ...

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"Brain MRI super resolution using 3D deep densely connected neural networks." 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018). IEEE ...

Resolution Enhancement of Brain MRI Images Using Deep Learning

(2018, January 8–13). Super-resolution of 3D Magnetic Resonance Images by Random Shifting and Convolutional Neural Networks. Proceedings of the 2018 ...

Automatic Skull Stripping of Rat and Mouse Brain MRI Data Using U ...

In this study, we proposed a deep-learning-based framework, U-Net, to automatically identify the rodent brain boundaries in MR images.