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MRI super-resolution weights
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创建时间：
2020-08-02
相关数据集
Data_Sheet_2_Through-Plane Super-Resolution With Autoencoders in Diffusion Magnetic Resonance Imaging of the Developing Human Brain.PDF
Fetal brain diffusion magnetic resonance images (MRI) are often acquired with a lower through-plane than in-plane resolution. This anisotropy is often overcome by classical upsampling methods such as
NIAID Data Ecosystem80
Test data for pre-trained DFCAN and DFGAN models
Some test data for DFCAN and DFGAN models of F-actin and microtubule data. You can read our Nature Methods paper "Evaluation and development of deep neural networks for image super-resolution in optic
Figshare2022-04-02 更新50
Metrics for quality control of results from super-resolution machine-learning algorithms – Data extracted from publications in the period 2017- May 2021
The quality enhancement and restoration of poor-quality low-resolution magnetic resonance (MR) data are paramount for improving patient care, accuracy in diagnosis and quality in clinical research. Si
DataCite Commons2023-04-27 更新40
Rethinking Degradation: Radiograph Super-Resolution via AID-SRGAN (Pre-trained Model)
MICCAI 2022; AID-SRGAN
Figshare2022-08-08 更新40
