Deep|learning|based image registration for nano|resolution ...

Deep‐learning‐based image registration for nano‐resolution ...

Keywords: full-field transmission X-ray micro- scopy; nano-tomography; image registration; deep learning; residual neural network. Deep-learning-based image ...

Deep-learning-based image registration for nano-resolution ...

Nano-resolution full-field transmission X-ray microscopy has been successfully applied to a wide range of research fields thanks to its ...

(IUCr) Deep-learning-based image registration for nano-resolution ...

In this paper, a deep-learning-based image jitter correction method for synchrotron nano-resolution tomographic reconstruction is presented. Compared with the ...

Deep-learning-based image registration for nano-resolution ...

Without a proper image registration process prior to the reconstruction, the quality of the result will be compromised. Here a deep-learning-based image jitter ...

[PDF] Deep-learning-based image registration for nano-resolution ...

A deep-learning-based image jitter correction method is presented, which registers the projective images with high efficiency and accuracy, facilitating a ...

Deep-learning-based image registration for nano-resolution ...

Request PDF | Deep-learning-based image registration for nano-resolution tomographic reconstruction | Nano-resolution full-field ...

Deep-learning-based image registration for nano-resolution ...

Deep-learning-based image registration for nano-resolution tomographic reconstruction. Tianyu Fu, Kai Zhang, Yan Wang, Jizhou Li, Jin Zhang ...

Deep-learning-based image registration for nano-resolution ... - OUCI

Deep-learning-based image registration for nano-resolution tomographic reconstruction · Tianyu Fu · Kai Zhang · Yan Wang · Jizhou Li · Jin Zhang · Chunxia Yao · Qili ...

Unsupervised deep learning enables real-time image registration of ...

... image registration of fast-scanning optical-resolution ... deep learning based registration network to achieve real-time image restoration and registration.

Image Registration: Fundamentals and Recent Advances Based on ...

... image alignment in deep learning based ... registration tools: traditional vs deep learning approach on high resolution tissue cleared data.

Multi-resolution Cross-modality Image Registration Using ...

Multi-resolution Cross-modality Image Registration Using Unsupervised Deep Learning Approach ... based on supervised approaches but they ...

A review of deep learning-based deformable medical image ...

The alignment of images through deformable image registration is vital to clinical applications (e.g., atlas creation, image fusion, and tumor targeting in ...

Image resolution enhancement using deep learning - where to start?

I would like to see if I can convert some unsharp confocal images to their more crisp high resolution (STED) equivalents based on raw vs. ground ...

Does Deep learning based analysis require image registration?

My question is if we are dealing with bio-medical lower abdominal CT scan images using deep learning based classification, does registration ...

Deep Learning in Medical Image Registration: Magic or Mirage?

... learning-based methods are the two reigning paradigms in deformable image registration. ... image modality, physical resolution, voxel ...

Image Registration of Very-High-Resolution Satellite Images Using ...

Here we propose a deep learning-based technique to effectively remove the outliers. A Siamese network was built as a purpose of an outlier removal.

Unsupervised deep learning registration model for multimodal brain ...

Multimodal image registration is a key for many clinical image-guided interventions. However, it is a challenging task because of ...

Deep learning-based affine medical image registration for ...

For evaluation, the resulting affine transformation was applied to the full resolution images. No augmentation was applied. The networks were first trained with ...

An Image Registration Method Using Deep Residual Network ...

To improve the accuracy of matching features for multisource high-resolution remote sensing images, an image registration method based on a deep residual ...

Diffeomorphic Image Registration with Neural Velocity Field

Diffeomorphic Multi-Resolution Deep Learning Registration for Applications in Breast MRI ... Currently, most deep learning-based registration methods assume that ...